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CIA
2006
Springer
14 years 2 months ago
Improving Example Selection for Agents Teaching Ontology Concepts
Abstract. We present a method to improve the positive examples selection by teaching agents in a multi-agent system in which a team of agent peers teach concepts to a learning agen...
Mohsen Afsharchi, Behrouz H. Far
IAT
2007
IEEE
14 years 4 months ago
Noise Tolerance in Reinforcement Learning Algorithms
This paper proposes a mechanism of noise tolerance for reinforcement learning algorithms. An adaptive agent that employs reinforcement learning algorithms may receive and accumula...
Richardson Ribeiro, Alessandro L. Koerich, Fabr&ia...
AAAI
2010
13 years 12 months ago
Reinforcement Learning via AIXI Approximation
This paper introduces a principled approach for the design of a scalable general reinforcement learning agent. This approach is based on a direct approximation of AIXI, a Bayesian...
Joel Veness, Kee Siong Ng, Marcus Hutter, David Si...
ECAI
2006
Springer
14 years 2 months ago
Using Emotions for Behaviour-Selection Learning
Emotions play a very important role in human behaviour and social interaction. In this paper we present a control architecture which uses emotions in the behaviour selection proces...
Maria Malfaz, Miguel Angel Salichs
ACOM
2004
Springer
14 years 2 months ago
A Model of Rational Agency for Communicating Agents
The Cognitive Agent Specification Language (CASL) is a framework for specifying and verifying complex communicating multiagent systems. In this paper, we develop an extended versi...
Shakil M. Khan, Yves Lespérance