Argumentation-Based Contract Monitoring in Uncertain Domains

Nir Oren, Timothy J Norman, Alun David Preece

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)
3 Downloads (Pure)

Abstract

Few existing argumentation frameworks are designed to deal with probabilistic knowledge, and none are designed to represent possibilistic knowledge, making them unsuitable for many real world domains. In this paper we present a subjective logic based framework for argumentation which overcomes this limitation. Reasoning about the state of a literal in this framework can be done in polynomial time. A dialogue game making use of the framework and a utility based heuristic for playing the dialogue game are also presented. We then show how these components can be applied to contract monitoring. The dialogues that emerge bear some similarity to the dialogues that occur when humans argue about contracts, and our approach is highly suited to complex, partially observable domains with fallible sensors where determining environment state cannot be done for free.
Original languageEnglish
Title of host publicationProceedings of the Twentieth International Joint Conference on Artificial Intelligence
Subtitle of host publicationHyderabad, India, 6 - 12 January, 2007
EditorsManuela M. Veloso
PublisherAAAI Press
Pages1434-1439
ISBN (Print)9781577352983, 157735298X
Publication statusPublished - 2007

Fingerprint

Monitoring
Polynomials
Sensors

Keywords

  • Artificial intelligence -- Congresses

Cite this

Oren, N., Norman, T. J., & Preece, A. D. (2007). Argumentation-Based Contract Monitoring in Uncertain Domains. In M. M. Veloso (Ed.), Proceedings of the Twentieth International Joint Conference on Artificial Intelligence: Hyderabad, India, 6 - 12 January, 2007 (pp. 1434-1439). AAAI Press.

Argumentation-Based Contract Monitoring in Uncertain Domains. / Oren, Nir; Norman, Timothy J; Preece, Alun David.

Proceedings of the Twentieth International Joint Conference on Artificial Intelligence: Hyderabad, India, 6 - 12 January, 2007. ed. / Manuela M. Veloso. AAAI Press, 2007. p. 1434-1439.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Oren, N, Norman, TJ & Preece, AD 2007, Argumentation-Based Contract Monitoring in Uncertain Domains. in MM Veloso (ed.), Proceedings of the Twentieth International Joint Conference on Artificial Intelligence: Hyderabad, India, 6 - 12 January, 2007. AAAI Press, pp. 1434-1439.
Oren N, Norman TJ, Preece AD. Argumentation-Based Contract Monitoring in Uncertain Domains. In Veloso MM, editor, Proceedings of the Twentieth International Joint Conference on Artificial Intelligence: Hyderabad, India, 6 - 12 January, 2007. AAAI Press. 2007. p. 1434-1439
Oren, Nir ; Norman, Timothy J ; Preece, Alun David. / Argumentation-Based Contract Monitoring in Uncertain Domains. Proceedings of the Twentieth International Joint Conference on Artificial Intelligence: Hyderabad, India, 6 - 12 January, 2007. editor / Manuela M. Veloso. AAAI Press, 2007. pp. 1434-1439
@inproceedings{55a82e7bbf3948c4ac78f1e841fbccc2,
title = "Argumentation-Based Contract Monitoring in Uncertain Domains",
abstract = "Few existing argumentation frameworks are designed to deal with probabilistic knowledge, and none are designed to represent possibilistic knowledge, making them unsuitable for many real world domains. In this paper we present a subjective logic based framework for argumentation which overcomes this limitation. Reasoning about the state of a literal in this framework can be done in polynomial time. A dialogue game making use of the framework and a utility based heuristic for playing the dialogue game are also presented. We then show how these components can be applied to contract monitoring. The dialogues that emerge bear some similarity to the dialogues that occur when humans argue about contracts, and our approach is highly suited to complex, partially observable domains with fallible sensors where determining environment state cannot be done for free.",
keywords = "Artificial intelligence -- Congresses",
author = "Nir Oren and Norman, {Timothy J} and Preece, {Alun David}",
year = "2007",
language = "English",
isbn = "9781577352983",
pages = "1434--1439",
editor = "Veloso, {Manuela M. }",
booktitle = "Proceedings of the Twentieth International Joint Conference on Artificial Intelligence",
publisher = "AAAI Press",

}

TY - GEN

T1 - Argumentation-Based Contract Monitoring in Uncertain Domains

AU - Oren, Nir

AU - Norman, Timothy J

AU - Preece, Alun David

PY - 2007

Y1 - 2007

N2 - Few existing argumentation frameworks are designed to deal with probabilistic knowledge, and none are designed to represent possibilistic knowledge, making them unsuitable for many real world domains. In this paper we present a subjective logic based framework for argumentation which overcomes this limitation. Reasoning about the state of a literal in this framework can be done in polynomial time. A dialogue game making use of the framework and a utility based heuristic for playing the dialogue game are also presented. We then show how these components can be applied to contract monitoring. The dialogues that emerge bear some similarity to the dialogues that occur when humans argue about contracts, and our approach is highly suited to complex, partially observable domains with fallible sensors where determining environment state cannot be done for free.

AB - Few existing argumentation frameworks are designed to deal with probabilistic knowledge, and none are designed to represent possibilistic knowledge, making them unsuitable for many real world domains. In this paper we present a subjective logic based framework for argumentation which overcomes this limitation. Reasoning about the state of a literal in this framework can be done in polynomial time. A dialogue game making use of the framework and a utility based heuristic for playing the dialogue game are also presented. We then show how these components can be applied to contract monitoring. The dialogues that emerge bear some similarity to the dialogues that occur when humans argue about contracts, and our approach is highly suited to complex, partially observable domains with fallible sensors where determining environment state cannot be done for free.

KW - Artificial intelligence -- Congresses

M3 - Conference contribution

SN - 9781577352983

SN - 157735298X

SP - 1434

EP - 1439

BT - Proceedings of the Twentieth International Joint Conference on Artificial Intelligence

A2 - Veloso, Manuela M.

PB - AAAI Press

ER -