467 search results - page 20 / 94 » Learning of Agents with Limited Resources |
AAMAS
2007
Springer
13 years 7 months ago
2007
Springer
Abstract – Despite increasing deployment of agent technologies in several business and industry domains, user confidence in fully automated agent driven applications is noticeab...
AAAI
2004
13 years 9 months ago
2004
Despite increasing deployment of agent technologies in several business and industry domains, user confidence in fully automated agent driven applications is noticeably lacking. T...
KES
2005
Springer
14 years 1 months ago
2005
Springer
One of the limitations of the BDI (Belief-Desire-Intention) model is the lack of any explicit mechanisms within the architecture to be able to learn. In particular, BDI agents do n...
AIIDE
2006
13 years 9 months ago
2006
Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...
ITS
2000
Springer
13 years 11 months ago
2000
Springer
We are designing a computational architecture for a "learning economy" based on personal software agents who represent users in a virtual society and assist them in find...