OPTIMAL SEQUENTIAL PLANNING IN PARTIALLY OBSERVABLE MULTIAGENT SETTINGS

دانشگاه آزاد اسلامی اصفهان(خوراسگان)

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" OPTIMAL SEQUENTIAL PLANNING IN PARTIALLY OBSERVABLE MULTIAGENT SETTINGS "

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	149671
Doc. No	:	ET21463
Main Entry	:	PRASHANT J. DOSHI
Title Proper	:	OPTIMAL SEQUENTIAL PLANNING IN PARTIALLY OBSERVABLE MULTIAGENT SETTINGS
Note	:	This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract	:	We develop a framework for sequential optimality of an autonomous agent interacting with other agentswithin a common, and possibly uncertain, environment. We use the normative paradigm of decision-theoreticplanning under uncertainty as formalized by partially observable Markov decision processes (POMDPs) as afoundation. The new framework called interactive POMDP (I-POMDP) generalizes a POMDP to multiagentsettings. I -P OMDP s are applicable to autonomous self-interested agents who locally compute what actionsthey should execute to optimize their preferences given what they believe while interacting with others withpossibly conflicting objectives. I-POMDPs ascribe models that are similar to types as used in Bayesiangames, to other agents. Some of these models describe other agents in terms of their beliefs, capabilities,and preferences. Consequently, I-POMDPs replace the "flat" beliefs of POMDPs with nested hierarchicalbelief systems. Our approach of using a decision-theoretic framework and solution concept complementsthe equilibrium approach of analyzing interactions, as used in classical game theory. Specifically, we avoidtested 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	:	TL44630.pdf
Title and statement of responsibility and	:	OPTIMAL SEQUENTIAL PLANNING IN PARTIALLY OBSERVABLE MULTIAGENT SETTINGS [Thesis]