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GECCO
2007
Springer
213views Optimization» more  GECCO 2007»
14 years 4 months ago
Genetically programmed learning classifier system description and results
An agent population can be evolved in a complex environment to perform various tasks and optimize its job performance using Learning Classifier System (LCS) technology. Due to the...
Gregory Anthony Harrison, Eric W. Worden
ATAL
2006
Springer
14 years 2 months ago
A context-aware approach for service selection using ontologies
Selecting the right parties to interact with is a fundamental problem in open and dynamic environments. The problem is exemplified when the number of interacting parties is high a...
Murat Sensoy, Pinar Yolum
AAAI
2006
13 years 11 months ago
Computing Slater Rankings Using Similarities among Candidates
Voting (or rank aggregation) is a general method for aggregating the preferences of multiple agents. One important voting rule is the Slater rule. It selects a ranking of the alte...
Vincent Conitzer
ATAL
2006
Springer
14 years 2 months ago
On the relationship between MDPs and the BDI architecture
In this paper we describe the initial results of an investigation into the relationship between Markov Decision Processes (MDPs) and Belief-Desire-Intention (BDI) architectures. W...
Gerardo I. Simari, Simon Parsons
ATAL
2005
Springer
14 years 3 months ago
Using emergence in participatory simulations to design multi-agent systems
In this paper, we present, through simulations of the coffee market of the state of Veracruz, how emergence of specialized roles in participatory simulations could be used to desi...
Paul Guyot, Alexis Drogoul, Christian Lemaît...