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Exploring the strategy space of negotiating agents: a framework for bidding, learning and accepting in automated negotiation

Exploring the strategy space of negotiating agents: a framework for bidding, learning and accepting in automated negotiation
Exploring the strategy space of negotiating agents: a framework for bidding, learning and accepting in automated negotiation
This book reports on an outstanding thesis that has significantly advanced the state-of-the-art in the area of automated negotiation. It gives new practical and theoretical insights into the design and evaluation of automated negotiators. It describes an innovative negotiating agent framework that enables systematic exploration of the space of possible negotiation strategies by recombining different agent components. Using this framework, new and effective ways are formulated for an agent to learn, bid, and accept during a negotiation. The findings have been evaluated in four annual instantiations of the International Automated Negotiating Agents Competition (ANAC), the results of which are also outlined here. The book also describes several methodologies for evaluating and comparing negotiation strategies and components, with a special emphasis on performance and accuracy measures.
Springer International Publishing
Baarslag, Tim
a7c541d8-8141-467b-a08c-7a81cd69920e
Baarslag, Tim
a7c541d8-8141-467b-a08c-7a81cd69920e

Baarslag, Tim (2016) Exploring the strategy space of negotiating agents: a framework for bidding, learning and accepting in automated negotiation (Springer Theses, , (doi:10.1007/978-3-319-28243-5)), Springer International Publishing, 276pp.

Record type: Book

Abstract

This book reports on an outstanding thesis that has significantly advanced the state-of-the-art in the area of automated negotiation. It gives new practical and theoretical insights into the design and evaluation of automated negotiators. It describes an innovative negotiating agent framework that enables systematic exploration of the space of possible negotiation strategies by recombining different agent components. Using this framework, new and effective ways are formulated for an agent to learn, bid, and accept during a negotiation. The findings have been evaluated in four annual instantiations of the International Automated Negotiating Agents Competition (ANAC), the results of which are also outlined here. The book also describes several methodologies for evaluating and comparing negotiation strategies and components, with a special emphasis on performance and accuracy measures.

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Published date: 2016
Organisations: Electronics & Computer Science

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Local EPrints ID: 411409
URI: https://eprints.soton.ac.uk/id/eprint/411409
PURE UUID: 734750af-181c-4908-b162-97fc998bac5a
ORCID for Tim Baarslag: ORCID iD orcid.org/0000-0002-1662-3910

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Date deposited: 20 Jun 2017 16:31
Last modified: 14 Mar 2019 01:33

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Author: Tim Baarslag ORCID iD

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