73 search results - page 13 / 15 » A Logic for Planning under Partial Observability |
AAAI
2012
11 years 10 months ago
2012
Planning under uncertainty is an important and challenging problem in multiagent systems. Multiagent Partially Observable Markov Decision Processes (MPOMDPs) provide a powerful fr...
AAAI
2007
13 years 10 months ago
2007
Planning under uncertainty involves two distinct sources of uncertainty: uncertainty about the effects of actions and uncertainty about the current state of the world. The most wi...
ATAL
2008
Springer
13 years 9 months ago
2008
Springer
Decentralized partially observable Markov decision processes (Dec-POMDPs) constitute an expressive framework for multiagent planning under uncertainty, but solving them is provabl...
AGP
2003
IEEE
14 years 1 months ago
2003
IEEE
Constraint Logic Programming (CLP) and Abductive Logic Programming (ALP) share the important concept of conditional answer. We exploit their deep similarities to implement an effic...
NDJFL
2000
13 years 7 months ago
2000
We present an approach to combining three areas of research which we claim are all based on information theory: knowledge representation in Artificial Intelligence and Cognitive Sc...