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» Reinforcement Belief Revision
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CI
2005
106views more  CI 2005»
13 years 7 months ago
Incremental Learning of Procedural Planning Knowledge in Challenging Environments
Autonomous agents that learn about their environment can be divided into two broad classes. One class of existing learners, reinforcement learners, typically employ weak learning ...
Douglas J. Pearson, John E. Laird
CL
2000
Springer
13 years 12 months ago
Logic, Knowledge Representation, and Bayesian Decision Theory
In this paper I give a brief overview of recent work on uncertainty inAI, and relate it to logical representations. Bayesian decision theory and logic are both normative frameworks...
David Poole
ECAI
2010
Springer
13 years 8 months ago
On Semantic Update Operators for Answer-Set Programs
Logic programs under the stable models semantics, or answer-set programs, provide an expressive rule based knowledge representation framework, featuring formal, declarative and wel...
Martin Slota, João Leite
ICTAI
2009
IEEE
14 years 2 months ago
Collaborative Concept Learning: Non Individualistic vs Individualistic Agents
This article addresses collaborative learning in a multiagent system: each agent revises incrementally its beliefs B (a concept representation) to keep it consistent with the whol...
Gauvain Bourgne, Dominique Bouthinon, Amal El Fall...
LICS
2007
IEEE
14 years 1 months ago
Resource modalities in game semantics
The description of resources in game semantics has never achieved the simplicity and precision of linear logic, because of a misleading conception: the belief that linear logic is...
Paul-André Melliès, Nicolas Tabareau