949 search results - page 16 / 190 » Can Doxastic Agents Learn |
CCIA
2006
Springer
14 years 1 months ago
2006
Springer
In multi-agent systems, individual problem solving capabilities can be improved thanks to the interaction with other agents. In the classification problem solving task each agent i...
AAAI
2011
12 years 9 months ago
2011
A common approach in machine learning is to use a large amount of labeled data to train a model. Usually this model can then only be used to classify data in the same feature spac...
LAMAS
2005
Springer
14 years 3 months ago
2005
Springer
In this paper we report on using a relational state space in multi-agent reinforcement learning. There is growing evidence in the Reinforcement Learning research community that a r...
AAMAS
2002
Springer
13 years 9 months ago
2002
Springer
Abstract. One of the main questions concerning learning in a Multi-Agent System's environment is: "(How) can agents benefit from mutual interaction during the learning pr...
AAAI
1994
13 years 11 months ago
1994
Intelligent artificial agents need to be able to explain and justify their actions. They must therefore understand the rationales for their own actions. This paper describes a tec...