4817 search results - page 396 / 964 » Learning Models of Intelligent Agents |
161
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ATAL
2007
Springer
15 years 8 months ago
2007
Springer
Integrating contributions received from other agents is an essential activity in multi-agent systems (MASs). Not only must related contributions be integrated together, but the co...
122
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AOSE
2007
Springer
15 years 10 months ago
2007
Springer
This paper describes how the Organization-based Multiagent Systems Engineering (O-MaSE) methodology can be applied to an exemplar multiagent system, the Conference Management Syste...
104
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ICANN
2001
Springer
15 years 8 months ago
2001
Springer
We distinguish between two main types of model: predictive and explanatory. It is argued (in the absence of models that predict on unseen data) that in order for a model to increas...
143
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IDEAL
2007
Springer
15 years 10 months ago
2007
Springer
Recently researchers have introduced methods to develop reusable knowledge in reinforcement learning (RL). In this paper, we define simple principles to combine skills in reinforce...
117
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CEC
2005
IEEE
15 years 10 months ago
2005
IEEE
Abstract- Seeding the population of an evolutionary algorithm with solutions from previous runs has proved to be useful when learning control strategies for agents operating in a c...