CMU Artificial Intelligence Repository
Home INFO Search FAQs Repository Root

BELIEF: Implementation of Paris and Vencovska's model of belief

Paris and Vencovska's paper provides a mathematical model of an agent's belief in an event by identifying it with his ability to imagine the event within the context of his previous experience. This approach leads to beliefs having properties different from those normally ascribed to it [1]. The package includes a brief introduction, an implementation of Paris and Vencovska's model of belief and a description of the implementation.

   Received directly from the Jens Doerpmund.

Version: 18-MAR-94 Requires: Common Lisp Copying: Copyright (C) 1994 by Ian Pratt Use, copying, and distribution free of charge CD-ROM: Prime Time Freeware for AI, Issue 1-1 Mailing List: none Author(s): Ian Pratt Jens Doerpmund Contact: Dr. Ian Pratt Department of Computer Science University of Manchester Manchester M13 9PL United Kingdom Keywords: Approximate Reasoning, Authors!Doerpmund, Authors!Paris, Authors!Pratt, Authors!Vencovska, BELIEF, Defeasible Reasoning, Inductive Inference, Lisp!Code, Reasoning Under Uncertainty, Reasoning!Approximate Reasoning, Reasoning!Defeasible Reasoning Contains: the program can be used output.txt ; This file contains examples of how ; Brief documentation pv.lsp ; Implementation in Common Lisp References: [1] J. Paris and A. Vencovska, "A model of belief", Artificial Intelligence 64(2), December 1993.
Last Web update on Mon Feb 13 10:27:48 1995