949 search results - page 91 / 190 » Can Doxastic Agents Learn |
134
Voted
ATAL
2010
Springer
15 years 2 months ago
2010
Springer
In open, dynamic multi-agent systems, agents may form short-term ad-hoc groups, such as coalitions, in order to meet their goals. Trust and reputation are crucial concepts in thes...
120
Voted
AAAI
2010
15 years 2 months ago
2010
Recent research has shown that surprisingly rich models of human behavior can be learned from GPS (positional) data. However, most research to date has concentrated on modeling si...
141
Voted
AIR
2006
15 years 1 months ago
2006
Abstract. An over-zealous machine learner can automatically generate large, intricate, theories which can be hard to understand. However, such intricate learning is not necessary i...
112
Voted
ATAL
2004
Springer
15 years 6 months ago
2004
Springer
Product Distribution (PD) theory is a new framework for controlling Multi-Agent Systems (MAS’s). First we review one motivation of PD theory, as the information-theoretic extens...
127
Voted
IAT
2008
IEEE
15 years 1 months ago
2008
IEEE
This paper presents iFALCON, a model of BDI (beliefdesire-intention) agents that is fully realized as a selforganizing neural network architecture. Based on multichannel network m...