Author: John D. Lowrance

  • Reasoning About Control: An Evidential Approach

    We present an alternative evidentially-based approach to reasoning about control that enables us to reason from limited and imperfect information; to partition bodies of meta- and domain-knowledge into modular components; and to order potential actions flexibly by allowing any number of constraints to be imposed over a set of alternative actions.

  • 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.

  • 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.

  • 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.

  • 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.