Computational model of persistent beliefs

Research output: Contribution to conferencePaper

Abstract

A computational model of persistent beliefs is developed supporting both the temporal information and the nested belief model. The model has explicit lower and upper time-bounds when representing facts and beliefs. This allows nonambiguous interpretation of persistent beliefs. It has a consistency-checking algorithm between two beliefs. The model can incorporate a new set of beliefs into its old beliefs by using its belief-revision algorithm.

Original languageEnglish
Number of pages1
Publication statusPublished - 1996 Dec 1
EventProceedings of the 1996 13th National Conference on Artificial Intelligence. Part 2 (of 2) - Portland, OR, USA
Duration: 1996 Aug 41996 Aug 8

Conference

ConferenceProceedings of the 1996 13th National Conference on Artificial Intelligence. Part 2 (of 2)
CityPortland, OR, USA
Period96/8/496/8/8

All Science Journal Classification (ASJC) codes

  • Software
  • Artificial Intelligence

Cite this

Park, S. (1996). Computational model of persistent beliefs. Paper presented at Proceedings of the 1996 13th National Conference on Artificial Intelligence. Part 2 (of 2), Portland, OR, USA, .