One belief-based adaptive negotiation agents

Raymond Y.K. Lau; On Wong; Brant Essam

One belief-based adaptive negotiation agents

Raymond Y.K. Lau
, On Wong
, Brant Essam

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Abstract

Previous research in adaptive negotiation agents has raised some challenging learning issues for further investigation. However, existing adaptive negotiation agents are still primitive in terms of what they can learn (e.g., price only) and their sensitivity to the changing negotiation issues. This paper discusses a novel framework of applying the well-known AGM belief revision logic to develop adaptive negotiation agents. Based on our initial implementation, this belief-based persuasive learning mechanism is illustrated with some examples. To our best knowledge, this is the first attempt of developing adaptive negotiation agents based on belief revision logic.

Original language	English
Title of host publication	Proceedings of the International Conference on Artificial Intelligence IC-AI 2003
Pages	867-873
Volume	2
Publication status	Published - Jun 2003
Externally published	Yes
Event	Proceedings of the International Conference on Artificial Intelligence, IC-AI 2003 - Las Vegas, NV, United States Duration: 23 Jun 2003 → 26 Jun 2003

Conference

Conference	Proceedings of the International Conference on Artificial Intelligence, IC-AI 2003
Place	United States
City	Las Vegas, NV
Period	23/06/03 → 26/06/03

Research Keywords

Adaptive negotiation agents
Belief revision

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title = "One belief-based adaptive negotiation agents",

abstract = "Previous research in adaptive negotiation agents has raised some challenging learning issues for further investigation. However, existing adaptive negotiation agents are still primitive in terms of what they can learn (e.g., price only) and their sensitivity to the changing negotiation issues. This paper discusses a novel framework of applying the well-known AGM belief revision logic to develop adaptive negotiation agents. Based on our initial implementation, this belief-based persuasive learning mechanism is illustrated with some examples. To our best knowledge, this is the first attempt of developing adaptive negotiation agents based on belief revision logic.",

keywords = "Adaptive negotiation agents, Belief revision",

author = "Lau, \{Raymond Y.K.\} and On Wong and Brant Essam",

year = "2003",

month = jun,

language = "English",

isbn = "1932415122",

volume = "2",

pages = "867--873",

booktitle = "Proceedings of the International Conference on Artificial Intelligence IC-AI 2003",

note = "Proceedings of the International Conference on Artificial Intelligence, IC-AI 2003 ; Conference date: 23-06-2003 Through 26-06-2003",

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TY - GEN

T1 - One belief-based adaptive negotiation agents

AU - Lau, Raymond Y.K.

AU - Wong, On

AU - Essam, Brant

PY - 2003/6

Y1 - 2003/6

N2 - Previous research in adaptive negotiation agents has raised some challenging learning issues for further investigation. However, existing adaptive negotiation agents are still primitive in terms of what they can learn (e.g., price only) and their sensitivity to the changing negotiation issues. This paper discusses a novel framework of applying the well-known AGM belief revision logic to develop adaptive negotiation agents. Based on our initial implementation, this belief-based persuasive learning mechanism is illustrated with some examples. To our best knowledge, this is the first attempt of developing adaptive negotiation agents based on belief revision logic.

AB - Previous research in adaptive negotiation agents has raised some challenging learning issues for further investigation. However, existing adaptive negotiation agents are still primitive in terms of what they can learn (e.g., price only) and their sensitivity to the changing negotiation issues. This paper discusses a novel framework of applying the well-known AGM belief revision logic to develop adaptive negotiation agents. Based on our initial implementation, this belief-based persuasive learning mechanism is illustrated with some examples. To our best knowledge, this is the first attempt of developing adaptive negotiation agents based on belief revision logic.

KW - Adaptive negotiation agents

KW - Belief revision

UR - https://www.scopus.com/pages/publications/1642268023

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-1642268023&origin=recordpage

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 1932415122

VL - 2

SP - 867

EP - 873

BT - Proceedings of the International Conference on Artificial Intelligence IC-AI 2003

T2 - Proceedings of the International Conference on Artificial Intelligence, IC-AI 2003

Y2 - 23 June 2003 through 26 June 2003

ER -

One belief-based adaptive negotiation agents

Abstract

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Research Keywords

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