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» Structuring Agents for Adaptation
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FLAIRS
1998
15 years 8 months ago
Learning to Race: Experiments with a Simulated Race Car
Our focus is on designing adaptable agents for highly dynamic environments. Wehave implementeda reinforcement learning architecture as the reactive componentof a twolayer control ...
Larry D. Pyeatt, Adele E. Howe
WSC
2000
15 years 8 months ago
An underlying model for defeat mechanisms
Defeat mechanisms are strategies for achieving victory over an opponent. Although defeat mechanisms often rely on influencing the opponent psychologically and emotionally, most si...
Brent Heeringa, Paul R. Cohen
GECCO
2008
Springer
196views Optimization» more  GECCO 2008»
15 years 7 months ago
A fuzzy-genetic approach to network intrusion detection
Computer networks have expanded significantly in use and numbers. This expansion makes them more vulnerable to attack by malicious agents. Many current intrusion detection systems...
Terrence P. Fries
GECCO
2008
Springer
145views Optimization» more  GECCO 2008»
15 years 7 months ago
Towards incremental social learning in optimization and multiagent systems
Social learning is a mechanism that allows individuals to acquire knowledge from others without incurring the costs of acquiring it individually. Individuals that learn socially c...
Marco Antonio Montes de Oca, Thomas Stützle
JNW
2008
149views more  JNW 2008»
15 years 6 months ago
Improving Semantic Web Service Discovery
Semantic Web Services (SWS) propose to extend the traditional Web Services technologies on the way to consolidate ontologies and semantics. This makes it possible to select, integr...
J. Javier Samper, F. Javier Adell, Leo van den Ber...