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» Beliefs in Agent Implementation
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SYNTHESE
2011
86views more  SYNTHESE 2011»
15 years 2 months ago
Objective Bayesianism, Bayesian conditionalisation and voluntarism
Objective Bayesianism has been criticised on the grounds that objective Bayesian updating, which on a finite outcome space appeals to the maximum entropy principle, differs from...
Jon Williamson
252
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CORR
2011
Springer
209views Education» more  CORR 2011»
14 years 10 months ago
I Don't Want to Think About it Now:Decision Theory With Costly Computation
Computation plays a major role in decision making. Even if an agent is willing to ascribe a probability to all states and a utility to all outcomes, and maximize expected utility,...
Joseph Y. Halpern, Rafael Pass
221
Voted
ATAL
2011
Springer
14 years 7 months ago
Information elicitation for decision making
Proper scoring rules, particularly when used as the basis for a prediction market, are powerful tools for eliciting and aggregating beliefs about events such as the likely outcome...
Yiling Chen, Ian A. Kash
179
Voted
RECONFIG
2008
IEEE
107views VLSI» more  RECONFIG 2008»
16 years 1 months ago
Fast Implementation of a Bio-inspired Model for Decentralized Gathering
In the context of the emergence of alternative computing resources to address the challenge of the upcoming end of Moore’s law, we consider the feasibility of gathering computat...
Bernard Girau, Cesar Torres-Huitzil
ICARIS
2005
Springer
16 years 17 days ago
A Generic Framework for Population-Based Algorithms, Implemented on Multiple FPGAs
Many bio-inspired algorithms (evolutionary algorithms, artificial immune systems, particle swarm optimisation, ant colony optimisation, …) are based on populations of agents. Ste...
John Newborough, Susan Stepney