2004•Unpublished venueRequires access

Demonstration of a Software System for Automated Multi-Attribute Negotiation

Catholijn M. Jonker, Leander van der Meij, Valentin Robu, Jan Treur

Open publisher page 5 citations

Abstract

This paper presents the demonstration of a software system for integrative negotiation. The agents in this system conduct one-to-one negotiations, in which the values across multiple attributes are negotiated on simultaneously. It is demonstrated how the system supports both automated negotiation (i.e., conducted by a software agent) and human negotiation (where humans specify their bids). Furthermore, it is shown how, compared to fully closed negotiation, the efficiency of the reached agreements may be improved, either by using incomplete preference information revealed by the negotiation partner or by incorporating a heuristic, through which an agent uses the history of the opponent's bids in order to guess his preferences.

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What this paper is about

This paper presents the demonstration of a software system for integrative negotiation. The agents in this system conduct one-to-one negotiations, in which the values across multiple attributes are negotiated on simultaneously. It is demonstrated how the system supports both automated negotiation (i.e., conducted by a software agent) and human negotiation (where humans specify their bids). Furthermore, it is shown how, compared to fully closed negotiation, the efficiency of the reached agreements may be improved, either by using incomplete preference information revealed by the negotiation partner or by incorporating a heuristic, through which an agent uses the history of the opponent's bids in order to guess his preferences.

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OpenAlex reports 5 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

This paper presents the demonstration of a software system for integrative negotiation. The agents in this system conduct one-to-one negotiations, in which the values across multiple attributes are negotiated on simultaneously. It is demonstrated how the system supports both automated negotiation (i.e., conducted by a software agent) and human negotiation (where humans specify their bids). Furthermore, it is shown how, compared to fully closed negotiation, the efficiency of the reached agreements may be improved, either by using incomplete preference information revealed by the negotiation partner or by incorporating a heuristic, through which an agent uses the history of the opponent's bids in order to guess his preferences.

Key concepts: Negotiation, Computer science, Software agent, Preference, Adversary, Order (exchange), Software, Heuristic

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