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Document Type : Latin Dissertation
Language of Document : English
Record Number : 150301
Doc. No : ET22093
Main Entry : Kate Larson
Title Proper : MECHANISMDISING FOr ComputationallyLimited Agents
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : The frameworks of game theory and mechanism design have exerted significant in-fluence on formal models of multiagent systems by providing tools for designing andanalyzing systems in order to guarantee certain desirable outcomes. However, manygame theoretic models assume idealized rational decision makers interacting in pre-scribed ways. In particular, the models often ignore the fact that in many multiagentsystems, the agents are not fully rational. Instead, they are computational agentswho have time and cost constraints that hinder them from both optimally determin-ing their utilities from the game and determining which strategies are best to follow.Because of this, the game theoretic equilibrium for rational agents does not generallyremain the same for agents with bounds on their computational capabilities. Thiscreates a potentially hazardous gap in game theory and automated negotiation sincecomputationally bounded agents are not motivated to behave in the desired way.My thesis statement is that it is possible to bridge this gap. By incorporatingcomputational actions into the strategies of agents, I provide a theory of interaction forself-interested computationally bounded agents. This allows one to formally study theimpact that bounded rationality has on agents' strategic behavior. It also provides afoundation for game-theory and mechanism design for computationally limited agents.First, this thesis introduces a model of bounded...,..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 : TL45293.pdf
Title and statement of responsibility and : MECHANISMDISING FOr ComputationallyLimited Agents [Thesis]
 
 
 
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