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	<title>Grand Text Auto &#187; expressive-processing</title>
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	<link>http://grandtextauto.org</link>
	<description>A group blog about computer narrative, games, poetry, and art.</description>
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		<title>Blog-Based Peer Review: Four Surprises</title>
		<link>http://grandtextauto.org/2009/05/12/blog-based-peer-review-four-surprises/</link>
		<comments>http://grandtextauto.org/2009/05/12/blog-based-peer-review-four-surprises/#comments</comments>
		<pubDate>Tue, 12 May 2009 22:20:02 +0000</pubDate>
		<dc:creator>Noah Wardrip-Fruin</dc:creator>
				<category><![CDATA[expressive-processing]]></category>

		<guid isPermaLink="false">http://grandtextauto.org/?p=2796</guid>
		<description><![CDATA[Last year we undertook an experiment here: simultaneously sending the manuscript for Expressive Processing out for traditional, press-solicited peer review and posting the same manuscript, in sections, as part of the daily flow of posts on Grand Text Auto. As far as I know, it became the first experiment in what I call "blog-based peer [...]]]></description>
			<content:encoded><![CDATA[<p>Last year we undertook <a href="http://grandtextauto.org/2008/01/22/expressive-processing-an-experiment-in-blog-based-peer-review/">an experiment</a> here: simultaneously sending the manuscript for <a href="http://mitpress.mit.edu/0262013436"><i>Expressive Processing</i></a> out for traditional, press-solicited peer review and posting the same manuscript, in sections, as part of the daily flow of posts on Grand Text Auto. As far as I know, it became the first experiment in what I call "blog-based peer review."</p>
<p>Over the last year I've been finishing up <i>Expressive Processing</i>: using comments from the blog-based and press-solicited reviews to revise the manuscript, completing a few additional chapters, participating in the layout and proof processes, and so on. I'm happy to say the book has now entered the final stages of production and will be out this summer (let me know if you'd be interested in writing an online or paper-based review).</p>
<p>One of my last pieces of writing for the book was an afterword, bringing together my conclusions about the blog-based peer review process. I'm publishing it here, on GTxA, both to acknowledge the community here and as a final opportunity to close the loop. I expect this to be the last GTxA post to use <a href="http://www.commentpress.cc/">CommentPress</a> &mdash; so take the opportunity to comment paragraph-by-paragraph if it strikes your fancy.  (<a href='http://grandtextauto.org/2009/05/12/blog-based-peer-review-four-surprises/'>more...</a>)]]></content:encoded>
			<wfw:commentRss>http://grandtextauto.org/2009/05/12/blog-based-peer-review-four-surprises/feed/</wfw:commentRss>
		<slash:comments>24</slash:comments>
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		<item>
		<title>Blog-Based Peer Review: Some Preliminary Conclusions, part 2</title>
		<link>http://grandtextauto.org/2008/04/05/blog-based-peer-review-some-preliminary-conclusions-part-2/</link>
		<comments>http://grandtextauto.org/2008/04/05/blog-based-peer-review-some-preliminary-conclusions-part-2/#comments</comments>
		<pubDate>Sat, 05 Apr 2008 22:32:27 +0000</pubDate>
		<dc:creator>Noah Wardrip-Fruin</dc:creator>
				<category><![CDATA[expressive-processing]]></category>

		<guid isPermaLink="false">http://grandtextauto.org/2008/04/05/blog-based-peer-review-some-preliminary-conclusions-part-2/</guid>
		<description><![CDATA[[This is a continuation of part 1]
The version of the Expressive Processing manuscript used for both forms of peer review begins with an introductory chapter composed, in part, in response to a desire to let people know what is at stake right up front. I wrote it to let readers know, from the beginning, what [...]]]></description>
			<content:encoded><![CDATA[<p>[This is a continuation of <a href="http://grandtextauto.org/2008/04/03/blog-based-peer-review-some-preliminary-conclusions-part-1/">part 1</a>]</p>
<p>The version of the <i>Expressive Processing</i> manuscript used for both forms of peer review begins with an introductory chapter composed, in part, in response to a desire to let people know what is at stake right up front. I wrote it to let readers know, from the beginning, what I am advocating and why it matters to me. I also wanted a first chapter that could be assigned as a stand-alone class reading (as so many monograph chapters are) and function to make my case.</p>
<p>In the blog-based review I got a number of important comments on this chapter, especially on my discussion of process intensity and <i>The Sims.</i> In the course of that discussion I also learned a number of things about the blog-based review form that still hold true in my conclusions about this project.  (<a href='http://grandtextauto.org/2008/04/05/blog-based-peer-review-some-preliminary-conclusions-part-2/'>more...</a>)]]></content:encoded>
			<wfw:commentRss>http://grandtextauto.org/2008/04/05/blog-based-peer-review-some-preliminary-conclusions-part-2/feed/</wfw:commentRss>
		<slash:comments>4</slash:comments>
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		<item>
		<title>Blog-Based Peer Review: Some Preliminary Conclusions, part 1</title>
		<link>http://grandtextauto.org/2008/04/03/blog-based-peer-review-some-preliminary-conclusions-part-1/</link>
		<comments>http://grandtextauto.org/2008/04/03/blog-based-peer-review-some-preliminary-conclusions-part-1/#comments</comments>
		<pubDate>Thu, 03 Apr 2008 15:12:35 +0000</pubDate>
		<dc:creator>Noah Wardrip-Fruin</dc:creator>
				<category><![CDATA[expressive-processing]]></category>

		<guid isPermaLink="false">http://grandtextauto.org/2008/04/03/blog-based-peer-review-some-preliminary-conclusions-part-1/</guid>
		<description><![CDATA[As many Grand Text Auto readers know, earlier this year I put a mostly-completed draft of my manuscript (for Expressive Processing) through two forms of peer review. One was a review by three anonymous field experts selected by my publisher, The MIT Press. The other was a blog-based review right here on Grand Text Auto. [...]]]></description>
			<content:encoded><![CDATA[<p>As many <i>Grand Text Auto</i> readers know, earlier this year I put a mostly-completed draft of my manuscript (for <i>Expressive Processing</i>) through two forms of peer review. One was a review by three anonymous field experts selected by my publisher, The MIT Press. The other was a blog-based review right here on <i>Grand Text Auto.</i> I posted each chapter, section by section, with a new addition each weekday morning &mdash; inviting paragraph-by-paragraph comments from the readers here.</p>
<p>For those who like discussions to cut to the chase, here's what happened, from my point of view. The blog-based review and the anonymous review both pointed to the same primary revision for the manuscript: distributing the main argument more broadly through the different chapters and sections, rather than concentrating the argument largely in a dense opening chapter. In addition, the blog-based review also gave me a great deal of specific feedback on my supporting arguments and examples. </p>
<p>From this we might conclude that anonymous, press-solicited peer review can be abandoned.  (<a href='http://grandtextauto.org/2008/04/03/blog-based-peer-review-some-preliminary-conclusions-part-1/'>more...</a>)]]></content:encoded>
			<wfw:commentRss>http://grandtextauto.org/2008/04/03/blog-based-peer-review-some-preliminary-conclusions-part-1/feed/</wfw:commentRss>
		<slash:comments>2</slash:comments>
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		<title>Expressive Processing Review: A Question of Goals</title>
		<link>http://grandtextauto.org/2008/04/02/expressive-processing-review-a-question-of-goals/</link>
		<comments>http://grandtextauto.org/2008/04/02/expressive-processing-review-a-question-of-goals/#comments</comments>
		<pubDate>Wed, 02 Apr 2008 17:30:13 +0000</pubDate>
		<dc:creator>Noah Wardrip-Fruin</dc:creator>
				<category><![CDATA[expressive-processing]]></category>

		<guid isPermaLink="false">http://grandtextauto.org/2008/04/02/expressive-processing-review-a-question-of-goals/</guid>
		<description><![CDATA[I'm surprised to see the opening paragraph of Jeff Young's piece in the Chronicle today, in which he's offering one of the first post-experiment evaluations of the Expressive Processing blog-based peer review project. The lead and headline seem to focus on the idea that blog-based review will "not replace traditional blind peer review anytime soon." [...]]]></description>
			<content:encoded><![CDATA[<p>I'm surprised to see the opening paragraph of <a href="http://chronicle.com/free/2008/04/2332n.htm">Jeff Young's piece in the <i>Chronicle</i> today,</a> in which he's offering one of the first post-experiment evaluations of the <i>Expressive Processing</i> blog-based peer review project. The lead and headline seem to focus on the idea that blog-based review will "not replace traditional blind peer review anytime soon." </p>
<p>I'm not surprised because I disagree about blog-based review replacing press-solicited reviews, but rather because finding a replacement for press-solicited review was never a goal of the project. Rather, the project participants (the Institute for the Future of the Book, the MIT Press, UCSD's Software Studies initiative, GTxA, and yours truly) had goals such as seeing what would take place in a blog-based form of review (this was, after all, the first known experiment), learning from comparing the results of the two forms of review, and (most importantly) garnering responses from the GTxA community that will help improve the book.  (<a href='http://grandtextauto.org/2008/04/02/expressive-processing-review-a-question-of-goals/'>more...</a>)]]></content:encoded>
			<wfw:commentRss>http://grandtextauto.org/2008/04/02/expressive-processing-review-a-question-of-goals/feed/</wfw:commentRss>
		<slash:comments>3</slash:comments>
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		<title>EP Meta: Milestones</title>
		<link>http://grandtextauto.org/2008/03/21/ep-meta-milestones/</link>
		<comments>http://grandtextauto.org/2008/03/21/ep-meta-milestones/#comments</comments>
		<pubDate>Fri, 21 Mar 2008 13:02:26 +0000</pubDate>
		<dc:creator>Noah Wardrip-Fruin</dc:creator>
				<category><![CDATA[expressive-processing]]></category>

		<guid isPermaLink="false">http://grandtextauto.org/2008/03/21/ep-meta-milestones/</guid>
		<description><![CDATA[This week we've passed two important milestones in the Expressive Processing project. First, the blog-based review has now covered most of the material included in the blind, press-solicited review &#8212; and some useful overall impressions have been collected from participants in the blog-based review. Second, MIT Press has sent me the blind reviews. To mark [...]]]></description>
			<content:encoded><![CDATA[<p>This week we've passed two important milestones in the <i>Expressive Processing</i> project. First, the blog-based review has now covered most of the material included in the blind, press-solicited review &mdash; and some useful <a href="http://grandtextauto.org/2008/03/19/ep-meta-chapter-eight/">overall impressions</a> have been collected from participants in the blog-based review. Second, MIT Press has sent me the blind reviews. To mark these milestones, Doug Ramsey from UCSD has put together <a href="http://www.calit2.net/newsroom/release.php?id=1260">a news release</a> (including video).</p>
<p>Now, looking forward from here, three things have been set in motion.  (<a href='http://grandtextauto.org/2008/03/21/ep-meta-milestones/'>more...</a>)]]></content:encoded>
			<wfw:commentRss>http://grandtextauto.org/2008/03/21/ep-meta-milestones/feed/</wfw:commentRss>
		<slash:comments>2</slash:comments>
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		<title>EP Meta: Chapter Eight</title>
		<link>http://grandtextauto.org/2008/03/19/ep-meta-chapter-eight/</link>
		<comments>http://grandtextauto.org/2008/03/19/ep-meta-chapter-eight/#comments</comments>
		<pubDate>Wed, 19 Mar 2008 13:29:33 +0000</pubDate>
		<dc:creator>Noah Wardrip-Fruin</dc:creator>
				<category><![CDATA[expressive-processing]]></category>

		<guid isPermaLink="false">http://grandtextauto.org/2008/03/19/ep-meta-chapter-eight/</guid>
		<description><![CDATA[At this point, with chapter eight concluded, we have nearly reached the end of the version of Expressive Processing sent out for anonymous peer review by MIT Press. So now is the time for me to ask for what Ian Bogost, and others, have identified as a real challenge for this blog-based review form: Are [...]]]></description>
			<content:encoded><![CDATA[<p>At this point, with chapter eight concluded, we have nearly reached the end of the version of <i>Expressive Processing</i> sent out for anonymous peer review by MIT Press. So now is the time for me to ask for what Ian Bogost, and others, have identified as a real challenge for this blog-based review form: Are there any broad thoughts on the overall project?  (<a href='http://grandtextauto.org/2008/03/19/ep-meta-chapter-eight/'>more...</a>)]]></content:encoded>
			<wfw:commentRss>http://grandtextauto.org/2008/03/19/ep-meta-chapter-eight/feed/</wfw:commentRss>
		<slash:comments>7</slash:comments>
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		<title>EP 8.6: Learning from Façade</title>
		<link>http://grandtextauto.org/2008/03/18/ep-86-learning-from-facade/</link>
		<comments>http://grandtextauto.org/2008/03/18/ep-86-learning-from-facade/#comments</comments>
		<pubDate>Tue, 18 Mar 2008 13:47:41 +0000</pubDate>
		<dc:creator>Noah Wardrip-Fruin</dc:creator>
				<category><![CDATA[expressive-processing]]></category>

		<guid isPermaLink="false">http://grandtextauto.org/2008/03/18/ep-86-learning-from-facade/</guid>
		<description><![CDATA[The surface experience produced by the Façade’s processes and data is shaped by a series of choices that have clear impacts in terms of the Eliza and Tale-Spin effects. The results are instructive.  (more...)]]></description>
			<content:encoded><![CDATA[<p>The surface experience produced by the <i>Façade</i>’s processes and data is shaped by a series of choices that have clear impacts in terms of the <i>Eliza </i>and <i>Tale-Spin </i>effects. The results are instructive.  (<a href='http://grandtextauto.org/2008/03/18/ep-86-learning-from-facade/'>more...</a>)]]></content:encoded>
			<wfw:commentRss>http://grandtextauto.org/2008/03/18/ep-86-learning-from-facade/feed/</wfw:commentRss>
		<slash:comments>25</slash:comments>
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		<item>
		<title>EP 8.5: Façade</title>
		<link>http://grandtextauto.org/2008/03/17/ep-85-facade/</link>
		<comments>http://grandtextauto.org/2008/03/17/ep-85-facade/#comments</comments>
		<pubDate>Mon, 17 Mar 2008 13:34:47 +0000</pubDate>
		<dc:creator>Noah Wardrip-Fruin</dc:creator>
				<category><![CDATA[expressive-processing]]></category>

		<guid isPermaLink="false">http://grandtextauto.org/2008/03/17/ep-85-facade/</guid>
		<description><![CDATA[I first met Andrew Stern and Michael Mateas at a 1999 symposium on “Narrative  Intelligence” sponsored by the Association for the Advancement of Artificial Intelligence. The symposium was organized by Mateas and Phoebe Sengers, two of the final Oz PhD students. They managed to bring together a number of their mentors, colleagues, and friends [...]]]></description>
			<content:encoded><![CDATA[<p>I first met Andrew Stern and Michael Mateas at a 1999 symposium on “Narrative  Intelligence” sponsored by the Association for the Advancement of Artificial Intelligence. The symposium was organized by Mateas and Phoebe Sengers, two of the final Oz PhD students. They managed to bring together a number of their mentors, colleagues, and friends with a wide range of people pursuing different facets of the intersection of narrative, character, and AI. The Zoesis team was present, showing off their most advanced demo: <i>The Penguin Who Wouldn’t Swim. </i>Bringsjord and Ferrucci discussed active development of <i>Brutus. </i>Stern described his company’s newest commercial product based on believable agent work: <i>Babyz. </i>Mateas and his collaborators premiered <i>Terminal Time. </i>It felt like the field was blossoming with new projects, pushing the state of the art to new levels.  (<a href='http://grandtextauto.org/2008/03/17/ep-85-facade/'>more...</a>)]]></content:encoded>
			<wfw:commentRss>http://grandtextauto.org/2008/03/17/ep-85-facade/feed/</wfw:commentRss>
		<slash:comments>1</slash:comments>
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		<title>EP 8.4: Oz</title>
		<link>http://grandtextauto.org/2008/03/14/ep-84-oz/</link>
		<comments>http://grandtextauto.org/2008/03/14/ep-84-oz/#comments</comments>
		<pubDate>Fri, 14 Mar 2008 13:39:52 +0000</pubDate>
		<dc:creator>Noah Wardrip-Fruin</dc:creator>
				<category><![CDATA[expressive-processing]]></category>

		<guid isPermaLink="false">http://grandtextauto.org/2008/03/14/ep-84-oz/</guid>
		<description><![CDATA[The Oz Project at Carnegie Mellon University — led by Joe Bates from its inception in the late 1980s — has an unusual distinction. While Tale-Spin and Universe could be considered outliers among software systems for the fact that both are widely credited with outputs they did not produce, the Oz Project may be the [...]]]></description>
			<content:encoded><![CDATA[<p>The Oz Project at Carnegie Mellon University — led by Joe Bates from its inception in the late 1980s — has an unusual distinction. While <i>Tale-Spin </i>and <i>Universe </i>could be considered outliers among software systems for the fact that both are widely credited with outputs they did not produce, the Oz Project may be the only computer science research project most famous for an experiment that did not require computers. This was an experiment in <i>interactive drama, </i>carried out with a human director and actors, but aimed at understanding the requirements for software-driven systems (Kelso, Weyhrauch, and Bates, 1993).  (<a href='http://grandtextauto.org/2008/03/14/ep-84-oz/'>more...</a>)]]></content:encoded>
			<wfw:commentRss>http://grandtextauto.org/2008/03/14/ep-84-oz/feed/</wfw:commentRss>
		<slash:comments>3</slash:comments>
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		<title>EP 8.3: The Sims</title>
		<link>http://grandtextauto.org/2008/03/13/ep-83-the-sims/</link>
		<comments>http://grandtextauto.org/2008/03/13/ep-83-the-sims/#comments</comments>
		<pubDate>Thu, 13 Mar 2008 13:28:45 +0000</pubDate>
		<dc:creator>Noah Wardrip-Fruin</dc:creator>
				<category><![CDATA[expressive-processing]]></category>

		<guid isPermaLink="false">http://grandtextauto.org/2008/03/13/ep-83-the-sims/</guid>
		<description><![CDATA[The Sims are arguably the most popular human characters ever created in digital media. The game named after them — The Sims (Wright et al, 2000) — is one of the best-selling games ever released, and has produced chart-topping expansion packs, sequels, and ports to new platforms. Perhaps surprisingly, the game is focused entirely on [...]]]></description>
			<content:encoded><![CDATA[<p>The Sims are arguably the most popular human characters ever created in digital media. The game named after them — <i>The Sims </i>(Wright et al, 2000) — is one of the best-selling games ever released, and has produced chart-topping expansion packs, sequels, and ports to new platforms. Perhaps surprisingly, the game is focused entirely on interaction with and between these characters and their environment. There is no shooting, no platform-jumping, no puzzle-solving, and not a single test of speed or agility.  (<a href='http://grandtextauto.org/2008/03/13/ep-83-the-sims/'>more...</a>)]]></content:encoded>
			<wfw:commentRss>http://grandtextauto.org/2008/03/13/ep-83-the-sims/feed/</wfw:commentRss>
		<slash:comments>4</slash:comments>
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		<title>EP 8.2: Understanding Simulations</title>
		<link>http://grandtextauto.org/2008/03/12/ep-82-understanding-simulations/</link>
		<comments>http://grandtextauto.org/2008/03/12/ep-82-understanding-simulations/#comments</comments>
		<pubDate>Wed, 12 Mar 2008 13:20:41 +0000</pubDate>
		<dc:creator>Noah Wardrip-Fruin</dc:creator>
				<category><![CDATA[expressive-processing]]></category>

		<guid isPermaLink="false">http://grandtextauto.org/2008/03/12/ep-82-understanding-simulations/</guid>
		<description><![CDATA[The concerns about work such as Wright’s get to the heart of what is involved when we use computer models to make non-abstract media. As Ian Bogost puts it in Unit Operations, “the relationship or feedback loop between the simulation game and its player are bound up with a set of values; no simulation can [...]]]></description>
			<content:encoded><![CDATA[<p>The concerns about work such as Wright’s get to the heart of what is involved when we use computer models to make non-abstract media. As Ian Bogost puts it in <i>Unit Operations, </i>“the relationship or feedback loop between the simulation game and its player are bound up with a set of values; no simulation can escape some ideological context” (2006, 99). Or, as Ted Nelson put it succinctly two years before <i>SimCity</i>’s release, “All simulations are political” (1987).  (<a href='http://grandtextauto.org/2008/03/12/ep-82-understanding-simulations/'>more...</a>)]]></content:encoded>
			<wfw:commentRss>http://grandtextauto.org/2008/03/12/ep-82-understanding-simulations/feed/</wfw:commentRss>
		<slash:comments>7</slash:comments>
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		<title>EP 8.1: Eliza and SimCity</title>
		<link>http://grandtextauto.org/2008/03/11/ep-81-eliza-and-simcity/</link>
		<comments>http://grandtextauto.org/2008/03/11/ep-81-eliza-and-simcity/#comments</comments>
		<pubDate>Tue, 11 Mar 2008 13:33:23 +0000</pubDate>
		<dc:creator>Noah Wardrip-Fruin</dc:creator>
				<category><![CDATA[expressive-processing]]></category>

		<guid isPermaLink="false">http://grandtextauto.org/2008/03/11/ep-81-eliza-and-simcity/</guid>
		<description><![CDATA[In the early 1980s, Will Wright was working on his first game: Raid on Bungeling Bay  (1984). Wright was crafting an attack helicopter simulation, focused on flying over islands and open water, attempting to destroy a set of factories working toward the creation of an unstoppable war machine. Then, reflecting on the landscape editor [...]]]></description>
			<content:encoded><![CDATA[<p>In the early 1980s, Will Wright was working on his first game: <i>Raid on Bungeling Bay</i>  (1984). Wright was crafting an attack helicopter simulation, focused on flying over islands and open water, attempting to destroy a set of factories working toward the creation of an unstoppable war machine. Then, reflecting on the landscape editor he created for authoring the game, Wright had a realization: “I was having more fun making the places than I was blowing them up” (2004). From this the idea for Wright’s genre-defining game <i>SimCity</i> (1989) was born.  (<a href='http://grandtextauto.org/2008/03/11/ep-81-eliza-and-simcity/'>more...</a>)]]></content:encoded>
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		<slash:comments>2</slash:comments>
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		<title>EP Meta: Chapter Seven</title>
		<link>http://grandtextauto.org/2008/03/10/ep-meta-chapter-seven/</link>
		<comments>http://grandtextauto.org/2008/03/10/ep-meta-chapter-seven/#comments</comments>
		<pubDate>Tue, 11 Mar 2008 03:35:10 +0000</pubDate>
		<dc:creator>Noah Wardrip-Fruin</dc:creator>
				<category><![CDATA[expressive-processing]]></category>

		<guid isPermaLink="false">http://grandtextauto.org/2008/03/10/ep-meta-chapter-seven/</guid>
		<description><![CDATA[I face a dilemma. As of today, the blog-based peer review of Expressive Processing has completed chapter seven ("Authoring Systems") and is embarking on chapter eight ("The SimCity Effect"). But I'm not sure what follows after chapter eight.
In the version MIT Press sent out for blind peer review, the next chapter ("Playable Language") is incomplete. [...]]]></description>
			<content:encoded><![CDATA[<p>I face a dilemma. As of today, the blog-based peer review of <i>Expressive Processing</i> has completed chapter seven ("Authoring Systems") and is embarking on chapter eight ("The <i>SimCity</i> Effect"). But I'm not sure what follows after chapter eight.</p>
<p>In the version MIT Press sent out for blind peer review, the next chapter ("Playable Language") is incomplete.  (<a href='http://grandtextauto.org/2008/03/10/ep-meta-chapter-seven/'>more...</a>)]]></content:encoded>
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		<slash:comments>5</slash:comments>
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		<title>EP 7.5: Expressive Language Generation</title>
		<link>http://grandtextauto.org/2008/03/10/ep-75-expressive-language-generation/</link>
		<comments>http://grandtextauto.org/2008/03/10/ep-75-expressive-language-generation/#comments</comments>
		<pubDate>Mon, 10 Mar 2008 14:21:38 +0000</pubDate>
		<dc:creator>Noah Wardrip-Fruin</dc:creator>
				<category><![CDATA[expressive-processing]]></category>

		<guid isPermaLink="false">http://grandtextauto.org/2008/03/10/ep-75-expressive-language-generation/</guid>
		<description><![CDATA[From one perspective, the challenge faced by Terminal Time is the primary focus of the entire computer science research area of “natural language generation” (NLG). This work focuses on how to take a set of material (such as a story structure, a weather summary, or current traffic information) and communicate it to an audience in [...]]]></description>
			<content:encoded><![CDATA[<p>From one perspective, the challenge faced by <i>Terminal Time </i>is the primary focus of the entire computer science research area of “natural language generation” (NLG). This work focuses on how to take a set of material (such as a story structure, a weather summary, or current traffic information) and communicate it to an audience in a human language such as English. On the other hand, very little NLG research has taken on the specific version of this challenge relevant for <i>Terminal Time </i>(and digital media more generally): shaping this communication so that the specific language chosen has the appropriate tone and nuance, in addition to communicating the correct information. Given this, digital media (such as games) have generally chosen very different approaches from NLG researchers for the central task of getting linguistic competence into software systems.  (<a href='http://grandtextauto.org/2008/03/10/ep-75-expressive-language-generation/'>more...</a>)]]></content:encoded>
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		<slash:comments>4</slash:comments>
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		<title>EP 7.4: Terminal Time</title>
		<link>http://grandtextauto.org/2008/03/07/ep-74-terminal-time/</link>
		<comments>http://grandtextauto.org/2008/03/07/ep-74-terminal-time/#comments</comments>
		<pubDate>Fri, 07 Mar 2008 14:31:28 +0000</pubDate>
		<dc:creator>Noah Wardrip-Fruin</dc:creator>
				<category><![CDATA[expressive-processing]]></category>

		<guid isPermaLink="false">http://grandtextauto.org/2008/03/07/ep-74-terminal-time/</guid>
		<description><![CDATA[Picture a darkened theater. An audience watches, presumably somewhat disconcerted, as “a montage of Tibetan Buddhist imagery and Chinese soldiers holding monks at gunpoint” unfolds on screen. A computerized voice tells them that:
There were reports that Buddhist monks and nuns were tortured, maimed and executed. Unfortunately such actions can be necessary when battling the forces [...]]]></description>
			<content:encoded><![CDATA[<p>Picture a darkened theater. An audience watches, presumably somewhat disconcerted, as “a montage of Tibetan Buddhist imagery and Chinese soldiers holding monks at gunpoint” unfolds on screen. A computerized voice tells them that:</p>
<blockquote><p>There were reports that Buddhist monks and nuns were tortured, maimed and executed. Unfortunately such actions can be necessary when battling the forces of religious intolerance. (Mateas, 2002, 138)</p></blockquote>
<p>Underlying the words, one can hear a “happy, ‘optimistic’ music loop.”  (<a href='http://grandtextauto.org/2008/03/07/ep-74-terminal-time/'>more...</a>)]]></content:encoded>
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		<slash:comments>0</slash:comments>
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		<title>EP 7.3: Brutus</title>
		<link>http://grandtextauto.org/2008/03/06/ep-73-brutus/</link>
		<comments>http://grandtextauto.org/2008/03/06/ep-73-brutus/#comments</comments>
		<pubDate>Thu, 06 Mar 2008 14:28:16 +0000</pubDate>
		<dc:creator>Noah Wardrip-Fruin</dc:creator>
				<category><![CDATA[expressive-processing]]></category>

		<guid isPermaLink="false">http://grandtextauto.org/2008/03/06/ep-73-brutus/</guid>
		<description><![CDATA[Given its name, it is probably no surprise that Selmer Bringsjord and David Ferrucci’s Brutus system specializes in stories of betrayal. Here is the beginning of one:
Dave Striver loved the university. He loved its ivy-covered clocktowers, its ancient and sturdy brick, and its sun-splashed verdant greens and eager youth. He also loved the fact that [...]]]></description>
			<content:encoded><![CDATA[<p>Given its name, it is probably no surprise that Selmer Bringsjord and David Ferrucci’s <i>Brutus </i>system specializes in stories of betrayal. Here is the beginning of one:</p>
<blockquote><p>Dave Striver loved the university. He loved its ivy-covered clocktowers, its ancient and sturdy brick, and its sun-splashed verdant greens and eager youth. He also loved the fact that the university is free of the stark unforgiving trials of the business world — only this <i>isn’t </i>a fact: academia has its own tests, and some are as merciless as any in the marketplace. A prime example is the dissertation defense: to earn the PhD, to become a doctor, one must pass an oral examination on one’s dissertation. This was a test Professort Edward Hart enjoyed giving. (Bringsjord and Ferrucci, 2000, 199–200)</p></blockquote>
<p>The story continues for roughly another half page.  (<a href='http://grandtextauto.org/2008/03/06/ep-73-brutus/'>more...</a>)]]></content:encoded>
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		<slash:comments>3</slash:comments>
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		<title>EP 7.2: Universe</title>
		<link>http://grandtextauto.org/2008/03/05/ep-72-universe/</link>
		<comments>http://grandtextauto.org/2008/03/05/ep-72-universe/#comments</comments>
		<pubDate>Wed, 05 Mar 2008 14:11:07 +0000</pubDate>
		<dc:creator>Noah Wardrip-Fruin</dc:creator>
				<category><![CDATA[expressive-processing]]></category>

		<guid isPermaLink="false">http://grandtextauto.org/2008/03/05/ep-72-universe/</guid>
		<description><![CDATA[Michael Lebowitz began work on Universe at around the same time that Scott Turner began his work on Minstrel, and the two systems bear a number of similarities.2 Both focus on the importance of authorial actions, rather than simply character actions. Both emerge from the scruffy AI tradition — Lebowitz had recently written his dissertation [...]]]></description>
			<content:encoded><![CDATA[<p>Michael Lebowitz began work on <i>Universe </i>at around the same time that Scott Turner began his work on <i>Minstrel, </i>and the two systems bear a number of similarities.<a href="http://grandtextauto.org/?p=1795#26"><sup>2</sup></a> Both focus on the importance of authorial actions, rather than simply character actions. Both emerge from the scruffy AI tradition — Lebowitz had recently written his dissertation at Yale under Schank’s supervision, contributing to Schank’s model of dynamic memory, especially in relation to story understanding.<a href="http://grandtextauto.org/?p=1795#27"><sup>3</sup></a> Descriptions of both also emphasize the importance of the “point” or “theme” that the system is working to communicate through each act of generation (Lebowitz, 1984, 175). (<a href='http://grandtextauto.org/2008/03/05/ep-72-universe/'>more...</a>)]]></content:encoded>
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		<slash:comments>12</slash:comments>
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		<title>EP 7.1: Writing Software</title>
		<link>http://grandtextauto.org/2008/03/04/ep-71-writing-software/</link>
		<comments>http://grandtextauto.org/2008/03/04/ep-71-writing-software/#comments</comments>
		<pubDate>Tue, 04 Mar 2008 15:09:46 +0000</pubDate>
		<dc:creator>Noah Wardrip-Fruin</dc:creator>
				<category><![CDATA[expressive-processing]]></category>

		<guid isPermaLink="false">http://grandtextauto.org/2008/03/04/ep-71-writing-software/</guid>
		<description><![CDATA[My early experiences of digital media were as an audience member. I remember playing text-only games like Hunt the Wumpus on mainframe terminals at my mother’s university — as well as interactive fictions like Zork I on my father’s early portable computers (a Kaypro and an Osbourne). I remember playing graphical games like Combat on [...]]]></description>
			<content:encoded><![CDATA[<p>My early experiences of digital media were as an audience member. I remember playing text-only games like <i>Hunt the Wumpus </i>on mainframe terminals at my mother’s university — as well as interactive fictions like <i>Zork I </i>on my father’s early portable computers (a Kaypro and an Osbourne). I remember playing graphical games like <i>Combat </i>on a first-generation Atari console that belonged to my cousins — as well as <i>Star Trek: Strategic Operations Simulator </i>on my friend Brion’s first-generation Atari home computer. Brion would later guide me in more arcane explorations of computer code, as we attempted to creatively alter the binary files of  games we played, saving them back to the Atari’s tape deck. But I think it was earlier, when I was ten years old, that I first sat down to program at a “blank slate.” (<a href='http://grandtextauto.org/2008/03/04/ep-71-writing-software/'>more...</a>)]]></content:encoded>
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		<slash:comments>4</slash:comments>
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		<title>EP Meta: Chapter Six</title>
		<link>http://grandtextauto.org/2008/03/04/ep-meta-chapter-six/</link>
		<comments>http://grandtextauto.org/2008/03/04/ep-meta-chapter-six/#comments</comments>
		<pubDate>Tue, 04 Mar 2008 14:05:40 +0000</pubDate>
		<dc:creator>Noah Wardrip-Fruin</dc:creator>
				<category><![CDATA[expressive-processing]]></category>

		<guid isPermaLink="false">http://grandtextauto.org/2008/03/04/ep-meta-chapter-six/</guid>
		<description><![CDATA[Yesterday's post finished up chapter six ("Character and Author Intelligence") and today's begins chapter seven ("Authoring Systems"). As it turns out, number six was another informative chapter, for me, in terms of the blog-based peer review process.
The best thing, undoubtedly, was the opportunity to hear comments from the creators of systems discussed in the chapter: [...]]]></description>
			<content:encoded><![CDATA[<p>Yesterday's post finished up chapter six ("Character and Author Intelligence") and today's begins chapter seven ("Authoring Systems"). As it turns out, number six was another informative chapter, for me, in terms of the blog-based peer review process.</p>
<p>The best thing, undoubtedly, was the opportunity to hear comments from the creators of systems discussed in the chapter: Jeff Orkin and Scott Turner. Of course, many book authors are able to interview system authors when researching a book, but I suspect it's unusual to get involved in a public conversation (before publication) around the specifics of how the manuscript characterizes the work. I've found this very helpful.  (<a href='http://grandtextauto.org/2008/03/04/ep-meta-chapter-six/'>more...</a>)]]></content:encoded>
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		<slash:comments>0</slash:comments>
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		<title>EP 6.5: Beyond Anthropomorphic Intelligence</title>
		<link>http://grandtextauto.org/2008/03/03/ep-65-beyond-anthropomorphic-intelligence/</link>
		<comments>http://grandtextauto.org/2008/03/03/ep-65-beyond-anthropomorphic-intelligence/#comments</comments>
		<pubDate>Mon, 03 Mar 2008 14:12:12 +0000</pubDate>
		<dc:creator>Noah Wardrip-Fruin</dc:creator>
				<category><![CDATA[expressive-processing]]></category>

		<guid isPermaLink="false">http://grandtextauto.org/2008/03/03/ep-65-beyond-anthropomorphic-intelligence/</guid>
		<description><![CDATA[Given the history of AI, it is no surprise that systems such as Tale-Spin and  Minstrel were built to embody models of human cognition. The assumption that human and machine processes should — or must — resemble each other runs deep in AI. It continues to this day, despite the counter-example of statistical AI.
With [...]]]></description>
			<content:encoded><![CDATA[<p>Given the history of AI, it is no surprise that systems such as <i>Tale-Spin </i>and  <i>Minstrel </i>were built to embody models of human cognition. The assumption that human and machine processes should — or must — resemble each other runs deep in AI. It continues to this day, despite the counter-example of statistical AI.</p>
<p>With <i>Tale-Spin </i>and <i>Minstrel </i>both emerging from the “scruffy” end of symbolic AI, we might assume that this area of AI was particularly given to building its systems on human models. And perhaps it is true that a neat researcher would not have made Turner’s opening assumption from his description of <i>Minstrel</i>: “To build a computer program to tell stories, we must understand and model the processes an author uses to achieve his goals” (1994, 3).  (<a href='http://grandtextauto.org/2008/03/03/ep-65-beyond-anthropomorphic-intelligence/'>more...</a>)]]></content:encoded>
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		<slash:comments>2</slash:comments>
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		<title>EP 6.4: Statistical AI</title>
		<link>http://grandtextauto.org/2008/02/29/ep-64-statistical-ai/</link>
		<comments>http://grandtextauto.org/2008/02/29/ep-64-statistical-ai/#comments</comments>
		<pubDate>Fri, 29 Feb 2008 14:10:56 +0000</pubDate>
		<dc:creator>Noah Wardrip-Fruin</dc:creator>
				<category><![CDATA[expressive-processing]]></category>

		<guid isPermaLink="false">http://grandtextauto.org/2008/02/29/ep-64-statistical-ai/</guid>
		<description><![CDATA[We can see, in Minstrel, symptoms of a much larger problem. One which Turner, alone, could have done little to address. By the late 1980s it was clear that AI systems in general were not living up to the expectations that had been created over the three previous decades. Many successful systems had been built [...]]]></description>
			<content:encoded><![CDATA[<p>We can see, in <i>Minstrel, </i>symptoms of a much larger problem. One which Turner, alone, could have done little to address. By the late 1980s it was clear that AI systems in general were not living up to the expectations that had been created over the three previous decades. Many successful systems had been built — by both “neats” and “scruffies” — but all of these worked on very small sets of data. Based on these successes, significant funding had been dedicated to attempting to scale up to larger, more real-world amounts of data. But these attempts failed, perhaps most spectacularly in the once high-flying area of “expert systems.” The methods of AI had produced, rather than operational simulations of intelligence, a panoply of idiosyncratic encodings of researchers’ beliefs about parts of human intelligence — without any means of compensating for the non-simulation of the rest of human intelligence. Guy Steele and Richard Gabriel, in their history of the Lisp programming language (1993, 30), note that by 1988 the term “AI winter” had been introduced to describe the growing backlash and resulting loss of funding for many AI projects. In this vacuum, assisted by steadily increasing processing power, a new form of AI began to rise in prominence.  (<a href='http://grandtextauto.org/2008/02/29/ep-64-statistical-ai/'>more...</a>)]]></content:encoded>
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		<slash:comments>23</slash:comments>
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		<title>EP 6.3: Modeling Human Creativity</title>
		<link>http://grandtextauto.org/2008/02/28/ep-63-modeling-human-creativity/</link>
		<comments>http://grandtextauto.org/2008/02/28/ep-63-modeling-human-creativity/#comments</comments>
		<pubDate>Thu, 28 Feb 2008 14:14:08 +0000</pubDate>
		<dc:creator>Noah Wardrip-Fruin</dc:creator>
				<category><![CDATA[expressive-processing]]></category>

		<guid isPermaLink="false">http://grandtextauto.org/2008/02/28/ep-63-modeling-human-creativity/</guid>
		<description><![CDATA[Scott Turner, like many before and since, first became interested in story generation after running upon Vladmir Propp’s analysis of Russian folktales (1968). Propp provides a grammar that describes the structure of many folktales. As linguists and computer scientists know, grammars can be used for describing the structure of given things — and also for [...]]]></description>
			<content:encoded><![CDATA[<p>Scott Turner, like many before and since, first became interested in story generation after running upon Vladmir Propp’s analysis of Russian folktales (1968). Propp provides a grammar that describes the structure of many folktales. As linguists and computer scientists know, grammars can be used for describing the structure of given things — and also for generating new things. But, as Turner soon discovered, this task is not easily accomplished with Propp’s grammar. Its elements are rather abstract, making them workable for analysis but insufficient for generation.<a href="http://grandtextauto.org/?p=1781#29"><sup>5</sup></a></p>
<p>Turner was a senior in college at the time. A few years later, while doing graduate research in UCLA’s Computer Science department, he began work on a radically different vision of story generation, embodied in his <i>Minstrel </i>system. This would culminate in an dissertation more than 800 pages long (setting a new record in his department) that he distilled down to less than 300 as the book <i>The Creative Process: A Computer Model of Storytelling and Creativity</i> (1994).  (<a href='http://grandtextauto.org/2008/02/28/ep-63-modeling-human-creativity/'>more...</a>)]]></content:encoded>
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		<slash:comments>11</slash:comments>
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		<title>EP 6.2: Beyond Compartmentalized Actions</title>
		<link>http://grandtextauto.org/2008/02/27/ep-62-beyond-compartmentalized-actions/</link>
		<comments>http://grandtextauto.org/2008/02/27/ep-62-beyond-compartmentalized-actions/#comments</comments>
		<pubDate>Wed, 27 Feb 2008 14:10:53 +0000</pubDate>
		<dc:creator>Noah Wardrip-Fruin</dc:creator>
				<category><![CDATA[expressive-processing]]></category>

		<guid isPermaLink="false">http://grandtextauto.org/2008/02/27/ep-62-beyond-compartmentalized-actions/</guid>
		<description><![CDATA[The finite-state machine is much like the quest flag or the dialogue tree. Each is conceptually simple, easy to implement, places low demand on system resources, and — over a certain level of complexity — becomes difficult to author and prone to breakdown. A quick look at the structure of FSMs shows the reasons for [...]]]></description>
			<content:encoded><![CDATA[<p>The finite-state machine is much like the quest flag or the dialogue tree. Each is conceptually simple, easy to implement, places low demand on system resources, and — over a certain level of complexity — becomes difficult to author and prone to breakdown. A quick look at the structure of FSMs shows the reasons for this.<a href="http://grandtextauto.org/?p=1778#35"><sup>1</sup></a></p>
<p>An FSM is composed of states and rules for transitioning between states. For example, an FSM could describe how to handle a telephone. In the initial state, the phone is sitting on the table. When the phone rings, the FSM rules dictate a transition to picking the phone up and saying “Hello.” If the caller asks for the character who answered, the rules could say to transition to a conversation state. If the caller asks for the character’s sister, the transition could be to calling the sister’s name aloud. When the conversation is over (if the call is for the character who answered the phone) or when the sister says “I’m coming” (if the call is for her) the phone goes back on the table.  (<a href='http://grandtextauto.org/2008/02/27/ep-62-beyond-compartmentalized-actions/'>more...</a>)]]></content:encoded>
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		<slash:comments>27</slash:comments>
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		<title>EP 6.1: After Tale-Spin</title>
		<link>http://grandtextauto.org/2008/02/26/ep-61-after-tale-spin/</link>
		<comments>http://grandtextauto.org/2008/02/26/ep-61-after-tale-spin/#comments</comments>
		<pubDate>Tue, 26 Feb 2008 15:47:59 +0000</pubDate>
		<dc:creator>Noah Wardrip-Fruin</dc:creator>
				<category><![CDATA[expressive-processing]]></category>

		<guid isPermaLink="false">http://grandtextauto.org/2008/02/26/ep-61-after-tale-spin/</guid>
		<description><![CDATA[As the previous chapter described, James Meehan’s Tale-Spin — built on a simulation embodying the “scruffy” artificial intelligence theories of Roger Schank and Robert Abelson — generated coherent accounts of character actions and interactions in a fictional world. This set the foundation for the field of story generation. Considered today, it also raises an inevitable [...]]]></description>
			<content:encoded><![CDATA[<p>As the previous chapter described, James Meehan’s <i>Tale-Spin </i>— built on a simulation embodying the “scruffy” artificial intelligence theories of Roger Schank and Robert Abelson — generated coherent accounts of character actions and interactions in a fictional world. This set the foundation for the field of story generation. Considered today, it also raises an inevitable question: What next?</p>
<p>This chapter considers two different responses.  (<a href='http://grandtextauto.org/2008/02/26/ep-61-after-tale-spin/'>more...</a>)]]></content:encoded>
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		<slash:comments>0</slash:comments>
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		<title>EP Meta: Chapter Five</title>
		<link>http://grandtextauto.org/2008/02/26/ep-meta-chapter-five/</link>
		<comments>http://grandtextauto.org/2008/02/26/ep-meta-chapter-five/#comments</comments>
		<pubDate>Tue, 26 Feb 2008 14:45:59 +0000</pubDate>
		<dc:creator>Noah Wardrip-Fruin</dc:creator>
				<category><![CDATA[expressive-processing]]></category>

		<guid isPermaLink="false">http://grandtextauto.org/2008/02/26/ep-meta-chapter-five/</guid>
		<description><![CDATA[Last week was pretty quiet around Grand Text Auto. I was at the Game Developers Conference (or with friends who'd flown out for it) much of the week &#8212; and so, apparently, were many of our readers. The good thing about this is that it allowed me to experience a new facet of the blog-based [...]]]></description>
			<content:encoded><![CDATA[<p>Last week was pretty quiet around Grand Text Auto. I was at the Game Developers Conference (or with friends who'd flown out for it) much of the week &mdash; and so, apparently, were many of our readers. The good thing about this is that it allowed me to experience a new facet of the blog-based review form: people who haven't been commenting, but have been reading, telling me what they think in person.  (<a href='http://grandtextauto.org/2008/02/26/ep-meta-chapter-five/'>more...</a>)]]></content:encoded>
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		<slash:comments>3</slash:comments>
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		<title>EP 5.6: Re-Reading Tale-Spin</title>
		<link>http://grandtextauto.org/2008/02/25/ep-56-re-reading-tale-spin/</link>
		<comments>http://grandtextauto.org/2008/02/25/ep-56-re-reading-tale-spin/#comments</comments>
		<pubDate>Mon, 25 Feb 2008 14:21:10 +0000</pubDate>
		<dc:creator>Noah Wardrip-Fruin</dc:creator>
				<category><![CDATA[expressive-processing]]></category>

		<guid isPermaLink="false">http://grandtextauto.org/2008/02/25/ep-56-re-reading-tale-spin/</guid>
		<description><![CDATA[The Tale-Spin effect has had a huge impact on previous interpretations of Tale-Spin, even when the interpreters have come from very different positions as scholars. Janet Murray’s Hamlet on the Holodeck (1997) and Espen Aarseth’s Cybertext (1997) provide helpful illustrations of this. In these cases, the Tale-Spin effect not only causes the authors to misinterpret [...]]]></description>
			<content:encoded><![CDATA[<p>The <i>Tale-Spin </i>effect has had a huge impact on previous interpretations of <i>Tale-Spin, </i>even when the interpreters have come from very different positions as scholars. Janet Murray’s <i>Hamlet on the Holodeck </i>(1997) and Espen Aarseth’s <i>Cybertext </i>(1997) provide helpful illustrations of this. In these cases, the <i>Tale-Spin </i>effect not only causes the authors to misinterpret <i>Tale-Spin, </i>but also to miss opportunities for making fruitful connections to their own areas of interest.  (<a href='http://grandtextauto.org/2008/02/25/ep-56-re-reading-tale-spin/'>more...</a>)]]></content:encoded>
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		<slash:comments>1</slash:comments>
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		<title>EP 5.5: Tale-Spin as Simulation</title>
		<link>http://grandtextauto.org/2008/02/22/ep-55-tale-spin-as-simulation/</link>
		<comments>http://grandtextauto.org/2008/02/22/ep-55-tale-spin-as-simulation/#comments</comments>
		<pubDate>Fri, 22 Feb 2008 14:01:50 +0000</pubDate>
		<dc:creator>Noah Wardrip-Fruin</dc:creator>
				<category><![CDATA[expressive-processing]]></category>

		<guid isPermaLink="false">http://grandtextauto.org/2008/02/22/ep-55-tale-spin-as-simulation/</guid>
		<description><![CDATA[Of course, the Tale-Spin effect, as described above, mainly considers Tale-Spin as a piece of media. But, in its context at Yale, it was positioned as something else — or something more. As Meehan emphasizes repeatedly in his dissertation, the structures of Tale-Spin were not chosen because they were the most efficient way to have [...]]]></description>
			<content:encoded><![CDATA[<p>Of course, the <i>Tale-Spin </i>effect, as described above, mainly considers <i>Tale-Spin </i>as a piece of media. But, in its context at Yale, it was positioned as something else — or something more. As Meehan emphasizes repeatedly in his dissertation, the structures of <i>Tale-Spin</i> were not chosen because they were the most efficient way to have a computer output a story. If this were the goal, some method like that of Klein’s “automatic novel writer” would have been appropriate. Instead, <i>Tale-Spin </i>was meant to operate as a simulation of human behavior, based on the then-current cognitive science ideas of Schank and Abelson.  (<a href='http://grandtextauto.org/2008/02/22/ep-55-tale-spin-as-simulation/'>more...</a>)]]></content:encoded>
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		<title>EP 5.4: The Tale-Spin Effect</title>
		<link>http://grandtextauto.org/2008/02/21/ep-54-the-tale-spin-effect/</link>
		<comments>http://grandtextauto.org/2008/02/21/ep-54-the-tale-spin-effect/#comments</comments>
		<pubDate>Thu, 21 Feb 2008 14:12:02 +0000</pubDate>
		<dc:creator>Noah Wardrip-Fruin</dc:creator>
				<category><![CDATA[expressive-processing]]></category>

		<guid isPermaLink="false">http://grandtextauto.org/2008/02/21/ep-54-the-tale-spin-effect/</guid>
		<description><![CDATA[In Italo Calvino’s Invisible Cities (1974) two characters named Kublai Khan and Marco Polo sit in a garden. Polo tells the Khan — sometimes in words, sometimes through symbols, sometimes through the relation of pieces on a chessboard — of cities he has visited within the vast empire. Here are a few. In the middle [...]]]></description>
			<content:encoded><![CDATA[<p>In Italo Calvino’s <i>Invisible Cities </i>(1974) two characters named Kublai Khan and Marco Polo sit in a garden. Polo tells the Khan — sometimes in words, sometimes through symbols, sometimes through the relation of pieces on a chessboard — of cities he has visited within the vast empire. Here are a few. In the middle of Fedora is a metal building with a crystal globe in every room, each containing a model of the city as it might have been in a possible future, constructed at a different stage of its history. At every solstice and equinox, around the fires of the marketplace of Euphemia, there is trade not in goods but in memories. In Ersilia, the inhabitants stretch strings between all the houses — marking relationships of blood, of trade, authority, agency — until one can no longer pass, all but the strings are taken down, and Ersilia is built again elsewhere. Thekla is continually under construction, following the blueprint of the stars, while Andria already reflects the heavens precisely — in every street, building, job, and ceremony — but those who live there must carefully weigh each change to the city, given the changes it will produce in the heavens. Polo and the Khan each propose a model city, from which all others can be deduced. They look through atlas pages that contain not only all the cities of the Khan’s empire, but all those that will one day come to exist (Paris, Mexico City), and all imaginary lands (Utopia, New Atlantis).</p>
<p>It is not hard to picture <i>Tale-Spin </i>as an addition to this list of imaginary lands.  (<a href='http://grandtextauto.org/2008/02/21/ep-54-the-tale-spin-effect/'>more...</a>)]]></content:encoded>
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		<title>EP 5.3: Tale-Spin’s Fiction</title>
		<link>http://grandtextauto.org/2008/02/20/ep-53-tale-spin%e2%80%99s-fiction/</link>
		<comments>http://grandtextauto.org/2008/02/20/ep-53-tale-spin%e2%80%99s-fiction/#comments</comments>
		<pubDate>Wed, 20 Feb 2008 14:07:37 +0000</pubDate>
		<dc:creator>Noah Wardrip-Fruin</dc:creator>
				<category><![CDATA[expressive-processing]]></category>

		<guid isPermaLink="false">http://grandtextauto.org/2008/02/20/ep-53-tale-spin%e2%80%99s-fiction/</guid>
		<description><![CDATA[That was a significant amount of detail about Tale-Spin, more than I will offer about any other system described in this book. I hope it gave some sense of the type of undertaking involved in creating even a first-generation story system. There’s much more going on — at the levels of character and story — [...]]]></description>
			<content:encoded><![CDATA[<p>That was a significant amount of detail about <i>Tale-Spin, </i>more than I will offer about any other system described in this book. I hope it gave some sense of the type of undertaking involved in creating even a first-generation story system. There’s much more going on — at the levels of character and story — than in something like <i>Eliza/Doctor </i>or a standard computer RPG. Further, it illustrates how a computer system that seeks to generate representations of human behavior can be built as an operationalization of theories about human behavior.</p>
<p>But it’s also worth noting that the story produced in our <i>Tale-Spin </i>example wasn’t a particularly strong example of fiction. While <i>Tale-Spin </i>creates character behavior, this behavior doesn’t necessarily take the shape of a traditional story. This is something to which I’ll return later. For now, I want to consider what it means to say that <i>Tale-Spin</i> produces fiction at all.  (<a href='http://grandtextauto.org/2008/02/20/ep-53-tale-spin%e2%80%99s-fiction/'>more...</a>)]]></content:encoded>
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		<slash:comments>5</slash:comments>
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		<title>EP 5.2: A Tale-Spin Story</title>
		<link>http://grandtextauto.org/2008/02/19/ep-52-a-tale-spin-story/</link>
		<comments>http://grandtextauto.org/2008/02/19/ep-52-a-tale-spin-story/#comments</comments>
		<pubDate>Tue, 19 Feb 2008 16:38:53 +0000</pubDate>
		<dc:creator>Noah Wardrip-Fruin</dc:creator>
				<category><![CDATA[expressive-processing]]></category>

		<guid isPermaLink="false">http://grandtextauto.org/2008/02/19/ep-52-a-tale-spin-story/</guid>
		<description><![CDATA[Tale-Spin, as described in Meehan’s dissertation, has three storytelling modes. Two modes are interactive, asking the audience to make decisions about features of the story world, while one mode “fixes” the world to assure the production of particular stories.4 Chapter 11 of Meehan’s dissertation gives a detailed account of an interactive story, about a hungry [...]]]></description>
			<content:encoded><![CDATA[<p><i>Tale-Spin, </i>as described in Meehan’s dissertation, has three storytelling modes. Two modes are interactive, asking the audience to make decisions about features of the story world, while one mode “fixes” the world to assure the production of particular stories.<a href="http://grandtextauto.org/?p=1756#50"><sup>4</sup></a> Chapter 11 of Meehan’s dissertation gives a detailed account of an interactive story, about a hungry bear named Arthur, that I will use to illustrate <i>Tale-Spin</i>’s operations and their backgrounds. (<a href='http://grandtextauto.org/2008/02/19/ep-52-a-tale-spin-story/'>more...</a>)]]></content:encoded>
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		<slash:comments>2</slash:comments>
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