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» Agents in Proactive Environments
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AI
2002
Springer
13 years 10 months ago
Multiagent learning using a variable learning rate
Learning to act in a multiagent environment is a difficult problem since the normal definition of an optimal policy no longer applies. The optimal policy at any moment depends on ...
Michael H. Bowling, Manuela M. Veloso
AICOM
2002
103views more  AICOM 2002»
13 years 10 months ago
The emergent computational potential of evolving artificial living systems
The computational potential of artificial living systems can be studied without knowing the algorithms that govern their behavior. Modeling single organisms by means of socalled c...
Jirí Wiedermann, Jan van Leeuwen
AI
2000
Springer
13 years 10 months ago
On agent-based software engineering
Agent-based computing represents an exciting new synthesis both for Artificial Intelligence (AI) and, more generally, Computer Science. It has the potential to significantly impro...
Nicholas R. Jennings
CLUSTER
2002
IEEE
13 years 10 months ago
PHOENIX: A Self Adaptable Monitoring Platform for Cluster Management
Distributed systems based on cluster of workstation are more and more difficult to manage due to the increasing number of processors involved, and the complexity of associated appl...
Céline Boutrous-Saab, Xavier Bonnaire, Bert...
NPL
2000
105views more  NPL 2000»
13 years 10 months ago
Online Interactive Neuro-evolution
In standard neuro-evolution, a population of networks is evolved in a task, and the network that best solves the task is found. This network is then fixed and used to solve future...
Adrian K. Agogino, Kenneth O. Stanley, Risto Miikk...