949 search results - page 21 / 190 » Can Doxastic Agents Learn |
JCP
2008
13 years 9 months ago
2008
In this paper, we propose a model named Logical Markov Decision Processes with Negation for Relational Reinforcement Learning for applying Reinforcement Learning algorithms on the ...
AE
2003
Springer
14 years 3 months ago
2003
Springer
The aim of this research is to develop an adaptive agent based model of auction scenarios commonly used in auction theory to help understand how competitors in auctions reach equil...
ECML
2006
Springer
14 years 1 months ago
2006
Springer
Abstract. We propose a machine learning approach to action prediction in oneshot games. In contrast to the huge literature on learning in games where an agent's model is deduc...
LEGE
2003
13 years 11 months ago
2003
Human Learning on the Grid will be based on the synergies between advanced software and Human agents. These synergies will be possible to the extent that conversational protocols ...
JUCS
2008
13 years 9 months ago
2008
Abstract: Adaptive behavior and learning are required of software agents in many application domains. At the same time agents are often supposed to be resource-bounded systems, whi...