Modelling uncertainty in expert systems
International Journal of Man-Machine Studies
Representing and reasoning with probabilistic knowledge: a logical approach to probabilities
Representing and reasoning with probabilistic knowledge: a logical approach to probabilities
Formalisations of uncertain reasoning
IEA/AIE '99 Proceedings of the 12th international conference on Industrial and engineering applications of artificial intelligence and expert systems: multiple approaches to intelligent systems
Discovering the world with fuzzy logic
Facts, arguments, annotations and reasoning
New Generation Computing
Remarks on Reasoning with Progressively Obsolete Information
International Joint Conference, 7th Ibero-American Conference, 15th Brazilian Symposium on AI, IBERAMIA-SBIA 2000, Open Discussion Track Proceedings on AI
Automated Reasoning with Uncertainties
International Conference Logic at Work on Knowledge Representation and Reasoning Under Uncertainty, Logic at Work
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Reasoning with uncertain information is a central issue for Artificial Intelligence and Information Systems. Consequently, a vast amount of studies and results devoted to this issue can be found in the literature.Curiously, reasoning with information whose uncertaintyvaries along time cannot be found so much in the literature. Dynamic reliability is a feature found rather frequently in many problems, e.g. in financial markets, meteorology and demographics.In this article we consider propositions whose information about truth evaluation is gradually lost with time. Our motivation has come from the information system under development within the project SIDAM--Distributed Information Systems for Mobile Agents (supported by FAPESP, grant 98/06138-2)--to provide citizens with information about urban automotive traffic in a large city.We propose functions of loss of information, and show how they can be used to characterize the obsolescence of propositional information in a logical system.