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, .
Park, Sunju. / 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, .1 p.
@conference{2c1156afddd5470585aabe086ba9d13d,
title = "Computational model of persistent beliefs",
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.",
author = "Sunju Park",
year = "1996",
month = "12",
day = "1",
language = "English",
note = "Proceedings of the 1996 13th National Conference on Artificial Intelligence. Part 2 (of 2) ; Conference date: 04-08-1996 Through 08-08-1996",

}

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, 96/8/4 - 96/8/8.

Computational model of persistent beliefs. / Park, Sunju.

1996. Paper presented at Proceedings of the 1996 13th National Conference on Artificial Intelligence. Part 2 (of 2), Portland, OR, USA, .

Research output: Contribution to conferencePaper

TY - CONF

T1 - Computational model of persistent beliefs

AU - Park, Sunju

PY - 1996/12/1

Y1 - 1996/12/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=0030364052&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0030364052&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:0030364052

ER -

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