REGRESSION IN THE PRESENCE OF INCOMPLETE INFORMATION AND SENSING ACTIONS, AND ITS APPLICATION TO CONDITIONAL PLANNING

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" REGRESSION IN THE PRESENCE OF INCOMPLETE INFORMATION AND SENSING ACTIONS, AND ITS APPLICATION TO CONDITIONAL PLANNING "

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	150383
Doc. No	:	ET22175
Main Entry	:	Tuan Chi Le
Title Proper	:	REGRESSION IN THE PRESENCE OF INCOMPLETE INFORMATION AND SENSING ACTIONS, AND ITS APPLICATION TO CONDITIONAL PLANNING
Note	:	This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract	:	In this dissertation, a state-based regression function for planning domains where an agentdoes not have complete information and may have sensing actions is presented. Both binary andmulti-valued domains are considered, and the 0-approximation [SBOl] is employed to define re-gression with respect to that semantics. In binary domains, the use of 0-approximation means using3-valued (True, False, and Unknown) states. In multi-valued domains, each fluent in a state isassigned an unknown value or a value in a finite set of the fluent's prescribed values. Althoughplanning using this approach is...,..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	:	TL45379.pdf
Title and statement of responsibility and	:	REGRESSION IN THE PRESENCE OF INCOMPLETE INFORMATION AND SENSING ACTIONS, AND ITS APPLICATION TO CONDITIONAL PLANNING [Thesis]