EXPLORING COGNITIVE AGENCY USING COMPUTATIONAL MODELS OF HUMAN LANGUAGE UNDERSTANDING AM  VISUAL PERFORMANCE

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" EXPLORING COGNITIVE AGENCY USING COMPUTATIONAL MODELS OF HUMAN LANGUAGE UNDERSTANDING AM VISUAL PERFORMANCE "

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	151551
Doc. No	:	ET23343
Main Entry	:	CHARLES JOESPH HANNON
Title Proper	:	EXPLORING COGNITIVE AGENCY USING COMPUTATIONAL MODELS OF HUMAN LANGUAGE UNDERSTANDING AM VISUAL PERFORMANCE
Note	:	This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract	:	Existing cognitive modeling systems primarily rely of a comparison of human performance tothat generated by ii model of the same cognitive task to determine the level of explanation of aconstructed model. We presents the theoretical background, computational design, and modelingresults of a new cognitive modeling approach called the Adaptive Modeling environment forExplanatory Based Agent (AMEBA). The AMEBA system combines the explanatory aspects ofexisting symbolic modeling systems, like Soar. ACT-R. EPIC and 4CAPS. with the computationalflrxi bility of a multiagent approach to Distributed Artificial Intelligence (DAI). We show that in.....-....,....-...,..tested for theQ1 PC1 bus cardBoth these projects mere sofixare des elopment efforts tonards contributing to dlfferentaspects of Roboucs and lZ1echatronics projects m the Controls and Roboucs Group..
Subject	:	Electericl tess
	:	برق
electronic file name	:	TL46582.pdf
Title and statement of responsibility and	:	EXPLORING COGNITIVE AGENCY USING COMPUTATIONAL MODELS OF HUMAN LANGUAGE UNDERSTANDING AM VISUAL PERFORMANCE [Thesis]