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» Belief functions and default reasoning
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HIS
2003
13 years 9 months ago
A Hybrid Approach for Learning Parameters of Probabilistic Networks from Incomplete Databases
– Probabilistic Inference Networks are becoming increasingly popular for modeling and reasoning in uncertain domains. In the past few years, many efforts have been made in learni...
S. Haider
ECSQARU
2009
Springer
13 years 11 months ago
A Generalization of the Pignistic Transform for Partial Bet
The Transferable Belief Model is a powerful interpretation of belief function theory where decision making is based on the pignistic transform. Smets has proposed a generalization ...
Thomas Burger, Alice Caplier
RR
2009
Springer
14 years 2 days ago
Integrating Logic Programming and Production Systems in Abductive Logic Programming Agents
In this paper we argue the case for integrating the distinctive functionalities of logic programs and production systems within an abductive logic programming agent framework. In t...
Robert A. Kowalski, Fariba Sadri
CSL
2006
Springer
13 years 11 months ago
Nonmonotonic Logics and Their Algebraic Foundations
The goal of this note is to provide a background and references for the invited lecture presented at Computer Science Logic 2006. We briefly discuss motivations that led to the eme...
Miroslaw Truszczynski
KI
2008
Springer
13 years 7 months ago
Shallow Models for Non-iterative Modal Logics
Abstract. Modal logics see a wide variety of applications in artificial intelligence, e.g. in reasoning about knowledge, belief, uncertainty, agency, defaults, and relevance. From ...
Lutz Schröder, Dirk Pattinson