Imprecise Bipolar Belief Measures Based on Partial Knowledge from Agent Dialogues

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

5 Citations (Scopus)

Abstract

Valuation pairs are proposed as a possible framework for representing assertability conventions applied to sentences from a propositional logic language. This approach is then extended by introducing imprecise valuation pairs to represent partially or imprecisely defined assertability conventions. Allowing for uncertainty then naturally results in lower and upper bipolar belief measures on the sentences of the language. The potential of this extended framework is illustrated by its application to an idealised dialogue between agents, each making assertions and condemnations based on their individual valuation pairs.
Translated title of the contributionImprecise Bipolar Belief Measures Based on Partial Knowledge from Agent Dialogues
Original languageEnglish
Title of host publicationScalable Uncertainty Management
Subtitle of host publication4th International Conference, SUM 2010, Toulouse, France, September 27-29, 2010. Proceedings
PublisherSpringer
Pages205-218
Number of pages14
ISBN (Electronic)9783642159510
ISBN (Print)9783642159503
DOIs
Publication statusPublished - Sep 2010

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume6379
ISSN (Print)0302-9743

Bibliographical note

Editors: Amol Deshpande, Anthony Hunter
Name and Venue of Conference: Scalable Uncertainty Management, Toulouse, France

Fingerprint Dive into the research topics of 'Imprecise Bipolar Belief Measures Based on Partial Knowledge from Agent Dialogues'. Together they form a unique fingerprint.

  • Cite this

    Lawry, J. (2010). Imprecise Bipolar Belief Measures Based on Partial Knowledge from Agent Dialogues. In Scalable Uncertainty Management: 4th International Conference, SUM 2010, Toulouse, France, September 27-29, 2010. Proceedings (pp. 205-218). (Lecture Notes in Computer Science; Vol. 6379). Springer. https://doi.org/10.1007/978-3-642-15951-0_22