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» Learning Behavior Models for Hybrid Timed Systems
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CEEMAS
2003
Springer
15 years 9 months ago
On a Dynamical Analysis of Reinforcement Learning in Games: Emergence of Occam's Razor
Modeling learning agents in the context of Multi-agent Systems requires an adequate understanding of their dynamic behaviour. Usually, these agents are modeled similar to the diļ¬...
Karl Tuyls, Katja Verbeeck, Sam Maes
ATAL
2009
Springer
15 years 8 months ago
On the significance of synchroneity in emergent systems
The goal of this paper is to explore the effects of synchronization on distributed decision making processes. In particular, we examine the dynamics of a spatially distributed mul...
Adam Campbell, Annie S. Wu
AGENTS
1997
Springer
15 years 8 months ago
Challenger: A Multi-agent System for Distributed Resource Allocation
In this paper we introduce Challenger, a multiagent system that performs completely distributed resource allocation. Challenger consists of agents which individually manage local ...
Anthony Chavez, Alexandros Moukas, Pattie Maes
156
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DEBU
2006
163views more  DEBU 2006»
15 years 4 months ago
Towards Activity Databases: Using Sensors and Statistical Models to Summarize People's Lives
Automated reasoning about human behavior is a central goal of artificial intelligence. In order to engage and intervene in a meaningful way, an intelligent system must be able to ...
Tanzeem Choudhury, Matthai Philipose, Danny Wyatt,...
TNN
2008
124views more  TNN 2008»
15 years 4 months ago
Just-in-Time Adaptive Classifiers - Part II: Designing the Classifier
Aging effects, environmental changes, thermal drifts, and soft and hard faults affect physical systems by changing their nature and behavior over time. To cope with a process evolu...
Cesare Alippi, Manuel Roveri