A Presumptive System of Defeasible Inference

Abstract

This paper presents a system on non-monotonic reasoning with defeasible rules that is as presumptive as possible (as bold as possible), while still being warranted. The advantage of such a system is that many multiple extension problems can be solved without additional explicit knowledge; ordering competing extensions can be done in a natural and defensible way, with mere implicit knowledge. The objectives closely resemble Poole's objectives. But the logic is different from Poole's. The most important difference is that this system allows the kind of chaining that many other non-monotonic systems allow. Also, the form in which the inference system is presented is quite novel for an AI system. It mimics an established system of indictive logic, and it treats defeat in the way of the epistemologist-philosophers. The focus is syntactic, and the limitation of resource-bounded theorem-proving can be treated formally.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1986
Accession Number
ADA250619

Entities

People

  • Ronald P. Loui

Organizations

  • University of Rochester

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Applied Computer Science
  • Artificial Intelligence
  • Computational Science
  • Computer Science
  • Computers
  • Human Behavior
  • Inference Engines
  • Language
  • Maintenance
  • Motivation
  • Philosophy
  • Reasoning
  • Redundancy
  • Standards
  • Taxonomy
  • Universities

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Computational Linguistics
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms