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162
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ATAL
2008
Springer
15 years 8 months ago
2008
Springer
This paper addresses the problem of plan recognition for multiagent teams. Complex multi-agent tasks typically require dynamic teams where the team membership changes over time. T...
148
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ATAL
2008
Springer
15 years 8 months ago
2008
Springer
The goal of Reinforcement learning (RL) is to maximize reward (minimize cost) in a Markov decision process (MDP) without knowing the underlying model a priori. RL algorithms tend ...
169
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ATAL
2008
Springer
15 years 8 months ago
2008
Springer
In open societies such as multi-agent systems, it is important that coordination among the several actors is achieved efficiently. One economical way of capturing that aspiration ...
147
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CIMCA
2005
IEEE
15 years 8 months ago
2005
IEEE
In this paper we present a simple yet accurate model to forecast electricity load with Artificial Neural Networks (ANNs). We analyze the problem domain and choose the most adequat...
139
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HOLOMAS
2007
Springer
15 years 8 months ago
2007
Springer
Abstract. Semi-industrial pilot plants are the best experimental domain for advanced control systems testing with the real-world instrumentation. At the same time, inexpensive flex...