Imprecise Bipolar Belief Measures Based on Partial Knowledge from Agent Dialogues

J Lawry

doi:10.1007/978-3-642-15951-0_22

Imprecise Bipolar Belief Measures Based on Partial Knowledge from Agent Dialogues

J Lawry

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 contribution	Imprecise Bipolar Belief Measures Based on Partial Knowledge from Agent Dialogues
Original language	English
Title of host publication	Scalable Uncertainty Management
Subtitle of host publication	4th International Conference, SUM 2010, Toulouse, France, September 27-29, 2010. Proceedings
Publisher	Springer
Pages	205-218
Number of pages	14
ISBN (Electronic)	9783642159510
ISBN (Print)	9783642159503
DOIs	https://doi.org/10.1007/978-3-642-15951-0_22
Publication status	Published - Sept 2010

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	6379
ISSN (Print)	0302-9743

Bibliographical note

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

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10.1007/978-3-642-15951-0_22

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title = "Imprecise Bipolar Belief Measures Based on Partial Knowledge from Agent Dialogues",

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.",

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

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Imprecise Bipolar Belief Measures Based on Partial Knowledge from Agent Dialogues. / Lawry, J.
Scalable Uncertainty Management: 4th International Conference, SUM 2010, Toulouse, France, September 27-29, 2010. Proceedings. Springer, 2010. p. 205-218 (Lecture Notes in Computer Science; Vol. 6379).

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

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BT - Scalable Uncertainty Management

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ER -

Imprecise Bipolar Belief Measures Based on Partial Knowledge from Agent Dialogues

Abstract

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