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AAMAS
2007
Springer
14 years 1 months ago
Continuous-State Reinforcement Learning with Fuzzy Approximation
Abstract. Reinforcement learning (RL) is a widely used learning paradigm for adaptive agents. There exist several convergent and consistent RL algorithms which have been intensivel...
Lucian Busoniu, Damien Ernst, Bart De Schutter, Ro...
SEMWEB
2005
Springer
14 years 27 days ago
Preferential Reasoning on a Web of Trust
Abstract. We introduce a framework, based on logic programming, for preferential reasoning with agents on the Semantic Web. Initially, we encode the knowledge of an agent as a logi...
Stijn Heymans, Davy Van Nieuwenborgh, Dirk Vermeir
AIR
2006
107views more  AIR 2006»
13 years 7 months ago
Just enough learning (of association rules): the TAR2 "Treatment" learner
Abstract. An over-zealous machine learner can automatically generate large, intricate, theories which can be hard to understand. However, such intricate learning is not necessary i...
Tim Menzies, Ying Hu
CIA
2003
Springer
14 years 19 days ago
Logic Programming for Evolving Agents
Abstract. Logic programming has often been considered less than adequate for modelling the dynamics of knowledge changing over time. In this paper we describe Evolving Logic Progra...
José Júlio Alferes, Antonio Brogi, J...
AGP
2003
IEEE
14 years 21 days ago
An Evolving Agent with EVOLP
Abstract. Logic programming has often been considered less than adequate for modelling the dynamics of knowledge changing over time. Evolving Logic Programs (EVOLP) has been recent...
José Júlio Alferes, Antonio Brogi, J...