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16 papers · 1 filter
Local Optimal Sets and Bounded Archiving on Multi-objective NK-Landscapes with Correlated Objectives
Manuel López-Ibáñez, Arnaud Liefooghe, Sébastien Verel
The properties of local optimal solutions in multi-objective combinatorial optimization problems are crucial for the effectiveness of local search algorithms, particularly when the…
Proceedings of the Eighth Conference on Uncertainty in Artificial Intelligence (1992)
Bruce D'Ambrosio, Didier Dubois, Philippe Smets +1
This is the Proceedings of the Eighth Conference on Uncertainty in Artificial Intelligence, which was held in Stanford, CA, July 17-19, 1992
An Efficient Implementation of Belief Function Propagation
Hong Xu
The local computation technique (Shafer et al. 1987, Shafer and Shenoy 1988, Shenoy and Shafer 1986) is used for propagating belief functions in so called a Markov Tree. In this pa…
Pulcinella: A General Tool for Propagating Uncertainty in Valuation Networks
Alessandro Saffiotti, Elisabeth Umkehrer
We present PULCinella and its use in comparing uncertainty theories. PULCinella is a general tool for Propagating Uncertainty based on the Local Computation technique of Shafer and…
Belief and Surprise - A Belief-Function Formulation
Yen-Teh Hsia
We motivate and describe a theory of belief in this paper. This theory is developed with the following view of human belief in mind. Consider the belief that an event E will occur…
A Decision Calculus for Belief Functions in Valuation-Based Systems
Hong Xu
Valuation-based system (VBS) provides a general framework for representing knowledge and drawing inferences under uncertainty. Recent studies have shown that the semantics of VBS c…