CMU Artificial Intelligence Repository
BELIEF: Implementation of Paris and Vencovska's model of
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 .
The package includes a brief introduction, an implementation of
Paris and Vencovska's model of belief and a description of the
Received directly from the Jens Doerpmund.
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
Contact: Dr. Ian Pratt
Department of Computer Science
University of Manchester
Manchester M13 9PL
Approximate Reasoning, Authors!Doerpmund, Authors!Paris,
Authors!Pratt, Authors!Vencovska, BELIEF,
Defeasible Reasoning, Inductive Inference, Lisp!Code,
Reasoning Under Uncertainty, Reasoning!Approximate Reasoning,
the program can be used
output.txt ; This file contains examples of how
info.ps ; Brief documentation
pv.lsp ; Implementation in Common Lisp
 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