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CDC
2009
IEEE
126views Control Systems» more  CDC 2009»
15 years 9 months ago
Overcoming limitations of game-theoretic distributed control
—Recently, game theory has been proposed as a tool for cooperative control. Specifically, the interactions of a multiagent distributed system are modeled as a non-cooperative ga...
Jason R. Marden, Adam Wierman
ATAL
2006
Springer
15 years 8 months ago
Rule value reinforcement learning for cognitive agents
RVRL (Rule Value Reinforcement Learning) is a new algorithm which extends an existing learning framework that models the environment of a situated agent using a probabilistic rule...
Christopher Child, Kostas Stathis
GECCO
2006
Springer
168views Optimization» more  GECCO 2006»
15 years 8 months ago
A Bayesian approach to learning classifier systems in uncertain environments
In this paper we propose a Bayesian framework for XCS [9], called BXCS. Following [4], we use probability distributions to represent the uncertainty over the classifier estimates ...
Davide Aliprandi, Alex Mancastroppa, Matteo Matteu...
NIPS
2007
15 years 5 months ago
A Probabilistic Approach to Language Change
We present a probabilistic approach to language change in which word forms are represented by phoneme sequences that undergo stochastic edits along the branches of a phylogenetic ...
Alexandre Bouchard-Côté, Percy Liang,...
AUTOMATICA
2006
81views more  AUTOMATICA 2006»
15 years 4 months ago
An energy-gain bounding approach to robust fuzzy identification
A novel method for the robust identification of interpretable fuzzy models, based on the criterion that identification errors are least sensitive to data uncertainties and modelli...
Mohit Kumar, Norbert Stoll, Regina Stoll