70 search results - page 7 / 14 » Modeling uncertain domains with polyagents |
Publication
We introduce a class of learning problems where the agent is presented with a series of tasks. Intuitively, if there is relation among those tasks, then the information gained duri...
IAT
2008
IEEE
14 years 2 months ago
2008
IEEE
The Networked Distributed POMDPs (ND-POMDPs) can model multiagent systems in uncertain domains and has begun to scale-up the number of agents. However, prior work in ND-POMDPs has ...
EWSPT
1998
Springer
14 years 7 hour ago
1998
Springer
Established simulation techniques require quantification of relevant aspects of the entity whose behaviour is being investigated. The data expressing the quantification provides a ...
AI
2008
Springer
13 years 6 months ago
2008
Springer
Although classical first-order logic is the de facto standard logical foundation for artificial intelligence, the lack of a built-in, semantically grounded capability for reasonin...
IJAR
2002
13 years 7 months ago
2002
The usual methods of applying Bayesian networks to the modeling of temporal processes, such as Dean and Kanazawa's dynamic Bayesian networks (DBNs), consist in discretizing t...