Abstract: A Cognitive Substrate for Human-Level..., By Dr. Nick Cassimatis
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Abstract posted for the May 20-21 AGI Workshop: A Cognitive Substrate for Human-Level Intelligence By Dr. Nick Cassimatis, Rensselaer Polytechnic Institute Making progress towards modeling and replicating human-level artificial intelligence seems to require a large number of difficult-to-integrate computational methods and enormous amounts of knowledge about the world. I provide evidence from linguistics, cognitive psychology and neuroscience for the Cognitive Substrate Hypothesis that a relatively small set of properly integrated data structures and algorithms can underlie the whole range of cognition required for human-level intelligence. Some computational principles (embodied in the Polyscheme cognitive architecture) are proposed to solve the integration problems involved in implementing such a substrate. A natural language syntactic parser that uses only the mechanisms of an infant physical reasoning model developed in Polyscheme demonstrates that a single cognitive substrate can underlie intelligent systems in superficially very dissimilar domains. This work suggests that identifying and implementing a cognitive substrate will accelerate progress towards human-level intelligence. More information, including papers and demonstrations, can be found at http://www.cassimatis.com  PPT: A Cognitive Substrate for Human-Level IntelligenceImportant Links: Main Workshop Website: http://www.agiri.org/workshop Directions/Hotel: http://www.agiri.org/directions.htm Workshop Schedule: http://www.agiri.org/schedule.htm Printable Version / Handout: http://www.agiri.org/workshop/AGIRI_Workshop_2006.pdf 
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