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» Multiagent simulation of learning environments
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AOIS
2004
13 years 9 months ago
A Systematic Approach for Including Machine Learning in Multi-agent Systems
Large scale multi-agent systems (MASs) in unpredictable environments must use machine learning techniques to perform their goals and improve the performance of the system. This pap...
José Alberto R. P. Sardinha, Alessandro F. ...
ATAL
2011
Springer
12 years 7 months ago
Learning action models for multi-agent planning
In multi-agent planning environments, action models for each agent must be given as input. However, creating such action models by hand is difficult and time-consuming, because i...
Hankz Hankui Zhuo, Hector Muñoz-Avila, Qian...
MATES
2005
Springer
14 years 1 months ago
LEADSTO: A Language and Environment for Analysis of Dynamics by SimulaTiOn
This paper presents the language and software environment LEADSTO that has been developed to model and simulate the dynamics of Multi-Agent Systems (MAS) in terms of both qualitati...
Tibor Bosse, Catholijn M. Jonker, Lourens van der ...
IJCAI
2007
13 years 9 months ago
Heuristic Selection of Actions in Multiagent Reinforcement Learning
This work presents a new algorithm, called Heuristically Accelerated Minimax-Q (HAMMQ), that allows the use of heuristics to speed up the wellknown Multiagent Reinforcement Learni...
Reinaldo A. C. Bianchi, Carlos H. C. Ribeiro, Anna...
ATAL
2003
Springer
14 years 26 days ago
Scenario description for multi-agent simulation
Making it easier to design interactions between agents and humans is essential for realizing multi-agent simulations of social phenomena such as group dynamics. To realize large-s...
Yohei Murakami, Toru Ishida, Tomoyuki Kawasoe, Rei...