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Comments on: Brainy Bot Files http://writerresponsetheory.org/wordpress/2006/01/13/brainy-files/ a blog and podcast dedicated to discussing text arts forms Wed, 13 Dec 2017 18:57:34 +0000 http://wordpress.org/?v=2.0.2 en Writer Response Theory 2004-2005 wrt@writerresponsetheory.org (Writer Response Theory) wrt@writerresponsetheory.org Talk Radio Comment-cast: Brainy Bot Files Comment-cast: Brainy Bot Files Writer Response Theory Writer Response Theory wrt@writerresponsetheory.org http://writerresponsetheory.org/wordpress/wp-content/uploads/iTWRT.JPG WRT: Writer Response Theory http://writerresponsetheory.org/wordpress 144 144 by: Jeremy Douglass http://writerresponsetheory.org/wordpress/2006/01/13/brainy-files/#comment-932 Sun, 15 Jan 2006 02:23:34 +0000 http://writerresponsetheory.org/wordpress/2006/01/13/brainy-files/#comment-932 This is a great resource, Christy. I first encountered Thought Treasure in 1997, although at the time I didn't realize there were earlier applications (such as Cyc). A lot of interesting (and interrelated) projects are coming out of MIT. Has anyone had practical experience interfacing one of these systems with a bot setup such as A.L.I.C.E./Pandorabots etc.? It seems to me that either harvesting information from these systems or else building a bridge between them and a bot is always a project in and of itself. For example I've heard of CyN: <blockquote>Project CyN is the merger of a AIML interpreter used to develop chat bots with the OpenCyc inference engine. This unique tool allows the product of one of the largest, continuous AI projects to be accessed by one of the largest chat bot development community. Basically Cyc + Program N = CyN. One of the first questions that interested programmers want to know about OpenCyc is what kind of natural language interface is there and can they talk with it. And one of the things that interested programmers who learn AIML ask is how to make their chat bots appear smarter. CyN tries to address the desires of both communities.</blockquote> In a quick search, I also found one <a href="http://www.google.com/search?q=cache:VhaFg233YOEJ:web.media.mit.edu/~lieber/Teaching/Common-Sense-Course/Projects/CommonSenseIM/CommonSenseIM.doc+a.l.i.c.e.+openmind&hl=en" rel="nofollow">research paper on A.L.I.C.E. + CommonSense</a>. Does anyone know of any similar initiatives as an alternative to by-hand database harvesting? Deprecated: preg_replace(): The /e modifier is deprecated, use preg_replace_callback instead in /home/writerresponse/writerresponsetheory.org/wordpress/wp-includes/functions-formatting.php on line 76

This is a great resource, Christy. I first encountered Thought Treasure in 1997, although at the time I didn’t realize there were earlier applications (such as Cyc). A lot of interesting (and interrelated) projects are coming out of MIT.

Has anyone had practical experience interfacing one of these systems with a bot setup such as A.L.I.C.E./Pandorabots etc.? It seems to me that either harvesting information from these systems or else building a bridge between them and a bot is always a project in and of itself. For example I’ve heard of CyN:

Project CyN is the merger of a AIML interpreter used to develop chat bots with the OpenCyc inference engine. This unique tool allows the product of one of the largest, continuous AI projects to be accessed by one of the largest chat bot development community. Basically Cyc + Program N = CyN.

One of the first questions that interested programmers want to know about OpenCyc is what kind of natural language interface is there and can they talk with it. And one of the things that interested programmers who learn AIML ask is how to make their chat bots appear smarter. CyN tries to address the desires of both communities.

In a quick search, I also found one research paper on A.L.I.C.E. + CommonSense.

Does anyone know of any similar initiatives as an alternative to by-hand database harvesting?

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Jeremy Douglass This is a great resource, Christy. I first encountered Thought Treasure in 1997, although at the time I didn't realize ... This is a great resource, Christy. I first encountered Thought Treasure in 1997, although at the time I didn't realize ...