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» Using Learning in a Control Agent
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AIR
2006
107views more  AIR 2006»
13 years 8 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
ATAL
2005
Springer
14 years 1 months ago
Multiagent simulation of learning environments
One of the key issues in designing appropriate and effective learning environments is understanding how learners advance and what factors contribute to their progress. This holds...
Elizabeth Sklar, Mathew Davies
IAT
2006
IEEE
14 years 2 months ago
Using Prior Knowledge to Improve Distributed Hill Climbing
The Distributed Probabilistic Protocol (DPP) is a new, approximate algorithm for solving Distributed Constraint Satisfaction Problems (DCSPs) that exploits prior knowledge to impr...
Roger Mailler
SKG
2006
IEEE
14 years 2 months ago
Caribbean/Q: A Massively Multi-Agent Platform with Scenario Description Language
Making a truly useful massively multi-agent system is difficult since the actions of the full ensemble of agents cannot be controlled by designing just one agent. It is critical ...
Yuu Nakajima, Hironori Shiina, Shohei Yamane, Hiro...
CIMCA
2006
IEEE
14 years 2 months ago
Direct Adaptive Fuzzy Control with Less Restrictions on the Control Gain
: In the adaptive fuzzy control field for affine nonlinear systems, there are two basic configurations: direct and indirect. It is well known that the direct configuration needs mo...
Phi Anh Phan, Timothy J. Gale