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» Representing and Reasoning with Preferences
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99
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KR
2004
Springer
15 years 3 months ago
Learning Probabilistic Relational Planning Rules
To learn to behave in highly complex domains, agents must represent and learn compact models of the world dynamics. In this paper, we present an algorithm for learning probabilist...
Hanna Pasula, Luke S. Zettlemoyer, Leslie Pack Kae...
72
Voted
EPIA
2001
Springer
15 years 2 months ago
Evolving Multi-agent Viewpoints - an Architecture
Abstract. We present an approach to agents that can reason, react to the environment and are able to update their own knowledge as a result of new incoming information. Each agents...
Pierangelo Dell'Acqua, João Alexandre Leite...
ATAL
2006
Springer
15 years 2 months ago
On the logic of coalitional games
We develop a logic for representing and reasoning about coalitional games without transferable payoffs. Although a number of logics of cooperation have been proposed over the past...
Thomas Ågotnes, Wiebe van der Hoek, Michael ...
ISMVL
1991
IEEE
145views Hardware» more  ISMVL 1991»
15 years 1 months ago
The Abnormality Predicate
We suggest a new representation of defeasible entailment and specificity in the framework of default logic. The representation is based on augmenting the underlying classical lan...
Eric Neufeld
76
Voted
FLAIRS
2001
14 years 11 months ago
Computing in Formal Knowledge Base Contexts for Natural Language Ambiguity Resolution
Weintroducea formalcontext mechanism,embeddedinto a descriptionlogicsframework,whichis ableto uniformly represent and managedifferent formsof ambiguitiesas theyoccurin the courseo...
Udo Hahn, Martin Romacker