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GECCO
2000
Springer
143views Optimization» more  GECCO 2000»
13 years 9 months ago
A Genetic Algorithm for Automatically Designing Modular Reinforcement Learning Agents
Reinforcement learning (RL) is one of the machine learning techniques and has been received much attention as a new self-adaptive controller for various systems. The RL agent auto...
Isao Ono, Tetsuo Nijo, Norihiko Ono
ATC
2009
Springer
13 years 8 months ago
Trust and Reputation Policy-Based Mechanisms for Self-protection in Autonomic Communications
Currently, there is an increasing tendency to migrate the management of communications and information systems onto the Web. This is making many traditional service support models ...
Martin Serrano, Sven van der Meer, John Strassner,...
HICSS
1997
IEEE
107views Biometrics» more  HICSS 1997»
13 years 9 months ago
On Heuristic Mapping of Decision Surfaces for Post-Evaluation Analysis
The value for decision making of high-quality postsolution analysis of decision-supporting models can hardly be overestimated. Candle-lighting analysis (CLA) takes this notion ver...
Major Bill Branley, Russell Fradin, Steven O. Kimb...
IPPS
1999
IEEE
13 years 9 months ago
Distributed Scheduling with Decomposed Optimization Criterion: Genetic Programming Approach
Abstract. A new approach to develop parallel and distributed scheduling algorithms for multiprocessor systems is proposed. Its main innovation lies in evolving a decomposition of t...
Franciszek Seredynski, Jacek Koronacki, Cezary Z. ...
AI
2002
Springer
13 years 5 months ago
Using similarity criteria to make issue trade-offs in automated negotiations
Automated negotiation is a key form of interaction in systems that are composed of multiple autonomous agents. The aim of such interactions is to reach agreements through an itera...
Peyman Faratin, Carles Sierra, Nicholas R. Jenning...