Taxonomy, Structure, and Implementation of Evidential Reasoning

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📝 Original Info

  • Title: Taxonomy, Structure, and Implementation of Evidential Reasoning
  • ArXiv ID: 1304.3077
  • Date: 2013-04-12
  • Authors: Researchers from original ArXiv paper

📝 Abstract

The fundamental elements of evidential reasoning problems are described, followed by a discussion of the structure of various types of problems. Bayesian inference networks and state space formalism are used as the tool for problem representation. A human-oriented decision making cycle for solving evidential reasoning problems is described and illustrated for a military situation assessment problem. The implementation of this cycle may serve as the basis for an expert system shell for evidential reasoning; i.e. a situation assessment processor.

💡 Deep Analysis

Deep Dive into Taxonomy, Structure, and Implementation of Evidential Reasoning.

The fundamental elements of evidential reasoning problems are described, followed by a discussion of the structure of various types of problems. Bayesian inference networks and state space formalism are used as the tool for problem representation. A human-oriented decision making cycle for solving evidential reasoning problems is described and illustrated for a military situation assessment problem. The implementation of this cycle may serve as the basis for an expert system shell for evidential reasoning; i.e. a situation assessment processor.

📄 Full Content

The fundamental elements of evidential reasoning problems are described, followed by a discussion of the structure of various types of problems. Bayesian inference networks and state space formalism are used as the tool for problem representation. A human-oriented decision making cycle for solving evidential reasoning problems is described and illustrated for a military situation assessment problem. The implementation of this cycle may serve as the basis for an expert system shell for evidential reasoning; i.e. a situation assessment processor.

Reference

This content is AI-processed based on ArXiv data.

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