8008 search results - page 747 / 1602 » Learning in Multi-Agent Systems |
216
Voted
SMC
2007
IEEE
16 years 1 months ago
2007
IEEE
—Reinforcement learning is a framework in which an agent can learn behavior without knowledge on a task or an environment by exploration and exploitation. Striking a balance betw...
223
Voted
IJVR
2008
15 years 7 months ago
2008
The main goals of using simulations and Virtual Environments for Training/Learning (VET/L) are to avoid risks and unwanted consequences, to reduce training costs, and to promote tr...
216
Voted
SMC
2007
IEEE
16 years 1 months ago
2007
IEEE
-This paper describes the use of a Fuzzy Cognitive Map (FCM) to model disaster reconstruction, based on data collected from the cities of BAM and Baravat. The extended fuzzy cognit...
185
Voted
ICALT
2006
IEEE
16 years 1 months ago
2006
IEEE
Social software, such as blogs, wikis, tagging systems and collaborative filters, treats the group as a first-class object within the system. Drawing from theories of transactiona...
176
Voted
ICALT
2005
IEEE
16 years 1 months ago
2005
IEEE
In order to efficiently manage and use of the information on the Web it becomes crucial to provide personalization not only within single systems, but across various web applicati...