1.1k citations · 4.8k across the 64 of their papers we have counts for
17 papers · 1 filter
Proceedings of the Sixteenth Conference on Uncertainty in Artificial Intelligence (2000)
Craig Boutilier, Moises Goldszmidt
This is the Proceedings of the Sixteenth Conference on Uncertainty in Artificial Intelligence, which was held in San Francisco, CA, June 30 - July 3, 2000
Modal Logics for Qualitative Possibility and Beliefs
Craig Boutilier
Possibilistic logic has been proposed as a numerical formalism for reasoning with uncertainty. There has been interest in developing qualitative accounts of possibility, as well as…
The Probability of a Possibility: Adding Uncertainty to Default Rules
Craig Boutilier
We present a semantics for adding uncertainty to conditional logics for default reasoning and belief revision. We are able to treat conditional sentences as statements of condition…
Integrating Planning and Execution in Stochastic Domains
Richard Dearden, Craig Boutilier
We investigate planning in time-critical domains represented as Markov Decision Processes, showing that search based techniques can be a very powerful method for finding close to o…
Context-Specific Independence in Bayesian Networks
Craig Boutilier, Nir Friedman, Moises Goldszmidt +1
Bayesian networks provide a language for qualitatively representing the conditional independence properties of a distribution. This allows a natural and compact representation of t…
Learning Conventions in Multiagent Stochastic Domains using Likelihood Estimates
Craig Boutilier
Fully cooperative multiagent systems - those in which agents share a joint utility model- is of special interest in AI. A key problem is that of ensuring that the actions of indivi…