Author: John D. Lowrance
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An AI Approach to Information Fusion
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Evidential Reasoning: An Implementation For Multisensor Integration
Perceptual information is not readily captured in terms of simple truths and falsities or in terms of probabilistic estimates, when the appropriate statistical data are lacking.
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Evidential Reasoning: A Developing Concept
Here we present our current understanding of this problem and some partial solutions. We conclude that evidential reasoning requires both a method for pooling multiple bodies of evidence to arrive at a consensus opinion and some means of drawing the appropriate conclusions from that opinion.
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An Inference Technique for Integrating Knowledge from Disparate Sources
This paper introduces a formal method for integrating knowledge derived from a variety of sources for use in “perceptual reasoning”. The formalism is based on the “evidential propositional calculus”- a derivative of Shafer’s mathematical theory of evidence.
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Hendrix’s Model for Simultaneous Actions and Continuous Processes: An Introduction and Implementation
This paper presents a self-contained introduction and implementation description to a simulation system for modeling simultaneous action and continuous processes.