Negotiation based on plan recognition and fuzzy sets for multiobjective process planning

Dayou Li; Yong Yue

Negotiation based on plan recognition and fuzzy sets for multiobjective process planning

Dayou Li, Yong Yue

University of Bedfordshire

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

1 Citation (Scopus)

Abstract

Planning for a multiobjective process using collaborative agents can have situations where actions proposed by the agents are in conflict. Negotiation has been very often used to resolve the conflict. Plan recognition based negotiation has the advantage of fast convergence but cannot ensure the resolution. This paper introduces fuzzy logic to plan recognition based negotiation. The use of fuzzy logic makes the concepts of objectives and constraints "elastic" and therefore resolutions can be identified.

Original language	English
Title of host publication	Proceedings of the 9th IASTED International Conference on Artificial Intelligence and Soft Computing, ASC 2005
Pages	86-92
Number of pages	7
Publication status	Published - 2005
Externally published	Yes
Event	9th IASTED International Conference on Artificial Intelligence and Soft Computing, ASC 2005 - Benidorm, Spain Duration: 12 Sept 2005 → 14 Sept 2005

Publication series

Name	Proceedings of the 9th IASTED International Conference on Artificial Intelligence and Soft Computing, ASC 2005

Conference

Conference	9th IASTED International Conference on Artificial Intelligence and Soft Computing, ASC 2005
Country/Territory	Spain
City	Benidorm
Period	12/09/05 → 14/09/05

Keywords

Collaborative agent
Fuzzy logic
Multiobjective
Negotiation
Plan recognition
Process planning

Cite this

@inproceedings{6214dd608da04afa8bac6f4efb831a46,

title = "Negotiation based on plan recognition and fuzzy sets for multiobjective process planning",

abstract = "Planning for a multiobjective process using collaborative agents can have situations where actions proposed by the agents are in conflict. Negotiation has been very often used to resolve the conflict. Plan recognition based negotiation has the advantage of fast convergence but cannot ensure the resolution. This paper introduces fuzzy logic to plan recognition based negotiation. The use of fuzzy logic makes the concepts of objectives and constraints {"}elastic{"} and therefore resolutions can be identified.",

keywords = "Collaborative agent, Fuzzy logic, Multiobjective, Negotiation, Plan recognition, Process planning",

author = "Dayou Li and Yong Yue",

year = "2005",

language = "English",

isbn = "0889865361",

series = "Proceedings of the 9th IASTED International Conference on Artificial Intelligence and Soft Computing, ASC 2005",

pages = "86--92",

booktitle = "Proceedings of the 9th IASTED International Conference on Artificial Intelligence and Soft Computing, ASC 2005",

note = "9th IASTED International Conference on Artificial Intelligence and Soft Computing, ASC 2005 ; Conference date: 12-09-2005 Through 14-09-2005",

}

Li, D & Yue, Y 2005, Negotiation based on plan recognition and fuzzy sets for multiobjective process planning. in Proceedings of the 9th IASTED International Conference on Artificial Intelligence and Soft Computing, ASC 2005. Proceedings of the 9th IASTED International Conference on Artificial Intelligence and Soft Computing, ASC 2005, pp. 86-92, 9th IASTED International Conference on Artificial Intelligence and Soft Computing, ASC 2005, Benidorm, Spain, 12/09/05.

Negotiation based on plan recognition and fuzzy sets for multiobjective process planning. / Li, Dayou; Yue, Yong.
Proceedings of the 9th IASTED International Conference on Artificial Intelligence and Soft Computing, ASC 2005. 2005. p. 86-92 (Proceedings of the 9th IASTED International Conference on Artificial Intelligence and Soft Computing, ASC 2005).

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

TY - GEN

T1 - Negotiation based on plan recognition and fuzzy sets for multiobjective process planning

AU - Li, Dayou

AU - Yue, Yong

PY - 2005

Y1 - 2005

N2 - Planning for a multiobjective process using collaborative agents can have situations where actions proposed by the agents are in conflict. Negotiation has been very often used to resolve the conflict. Plan recognition based negotiation has the advantage of fast convergence but cannot ensure the resolution. This paper introduces fuzzy logic to plan recognition based negotiation. The use of fuzzy logic makes the concepts of objectives and constraints "elastic" and therefore resolutions can be identified.

AB - Planning for a multiobjective process using collaborative agents can have situations where actions proposed by the agents are in conflict. Negotiation has been very often used to resolve the conflict. Plan recognition based negotiation has the advantage of fast convergence but cannot ensure the resolution. This paper introduces fuzzy logic to plan recognition based negotiation. The use of fuzzy logic makes the concepts of objectives and constraints "elastic" and therefore resolutions can be identified.

KW - Collaborative agent

KW - Fuzzy logic

KW - Multiobjective

KW - Negotiation

KW - Plan recognition

KW - Process planning

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M3 - Conference Proceeding

AN - SCOPUS:84887229342

SN - 0889865361

SN - 9780889865365

T3 - Proceedings of the 9th IASTED International Conference on Artificial Intelligence and Soft Computing, ASC 2005

SP - 86

EP - 92

BT - Proceedings of the 9th IASTED International Conference on Artificial Intelligence and Soft Computing, ASC 2005

T2 - 9th IASTED International Conference on Artificial Intelligence and Soft Computing, ASC 2005

Y2 - 12 September 2005 through 14 September 2005

ER -

Negotiation based on plan recognition and fuzzy sets for multiobjective process planning

Abstract

Publication series

Conference

Keywords

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