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» Learning Models of Intelligent Agents
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129
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PPSN
2004
Springer
15 years 9 months ago
Evolutionary Multi-agent Systems
In Multi-Agent learning, agents must learn to select actions that maximize their utility given the action choices of the other agents. Cooperative Coevolution offers a way to evol...
Pieter Jan't Hoen, Edwin D. de Jong
IAT
2008
IEEE
15 years 10 months ago
Comparison of Agent-Based and Population-Based Simulations of Displacement of Crime
Within Criminology, the process of crime displacement is usually explained by referring to the interaction of three types of agents: criminals, passersby, and guardians. Most exis...
Tibor Bosse, Charlotte Gerritsen, Mark Hoogendoorn...
156
Voted
IAT
2006
IEEE
15 years 9 months ago
Goal-Oriented Development of BDI Agents: The PRACTIONIST Approach
The representation of goals and the ability to reason about them play an important role in goal-oriented requirements analysis and modelling techniques, especially in agent-orient...
Vito Morreale, Susanna Bonura, Giuseppe Francavigl...
106
Voted
IAT
2007
IEEE
15 years 10 months ago
Network Intrusion Detection by Means of Community of Trusting Agents
We apply advanced agent trust modeling techniques to identify malicious traffic in computer networks. Our work integrates four state-of-the-art techniques from anomaly detection,...
Martin Rehák, Michal Pechoucek, Karel Barto...
108
Voted
IAT
2007
IEEE
15 years 10 months ago
Planning and Choosing: Augmenting HTN-Based Agents with Mental Attitudes
This paper describes a new agent framework that fuses an HTN planner, through its underlying conceptual model, with the mental attitudes of the BDI agent architecture, thus exploi...
Gerhard Wickler, Stephen Potter, Austin Tate, Mich...