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Using BATNAs and WATNAs in Online Dispute Resolution

Andrade, Francisco and Novais, Paulo and Carneiro, Davide and Zeleznikow, John and Neves, Jose (2009) Using BATNAs and WATNAs in Online Dispute Resolution. In: New frontiers in artificial intelligence : JSAI-isAI 2009 workshops LENLS, JURISIN, KCSD, LLLL, Tokyo, Japan, November 19-20, 2009 : revised selected papers. Nakakoji, Kumiyo and Murakami, Yohei and McCready, Eric, eds. Lecture notes in computer science (6284). Springer, Berlin, pp. 5-18.

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Abstract

When contracting through software agents, disputes will inevitably arise. Thus there is an urgent need to find alternatives to litigation for resolving conflicts. Methods of Online Dispute Resolution (ODR) need to be considered to resolve such disputes. Having agents understanding what the dispute is about, managing all interaction between the parties and even formulating proposed solutions is an important innovation. Hence it is of the utmost relevance that the agents may be able to recognise and evaluate the facts, the position of the parties and understand all the relevant data. In many circumstances, risk management and avoidance will be a crucial point to be considered. In this sense we analyze the usefulness of a parallel concept to BATNA – Best Alternative to Negotiated Agreement, that of a WATNA – Worst Alternative to Negotiated Agreement, allowing the software agents to consider the space between BATNA and WATNA as a useful element to be taken into account when making or accepting a proposal. These software agents embodied with intelligent techniques are integrated in an architecture designed to provide support to the ODR in a system we have developed for the resolution of labour disputes - UMCourt. In this context software agents are used to compute and provide the parties with the best and worst alternative to a negotiated agreement.

Item Type: Book Section
ISBN: 9783642148873 (print) 9783642148880 (on-line)
Uncontrolled Keywords: ResPubID18020, online dispute resolution, negotiation, best alternative, worst alternative
Subjects: Faculty/School/Research Centre/Department > School of Management and Information Systems
FOR Classification > 0801 Artificial Intelligence and Image Processing
SEO Classification > 9404 Justice and the Law
Depositing User: VUIR
Date Deposited: 20 Sep 2011 00:10
Last Modified: 13 Mar 2013 22:04
URI: http://vuir.vu.edu.au/id/eprint/6657
DOI: 10.1007/978-3-642-14888-0_2
ePrint Statistics: View download statistics for this item
Citations in Scopus: 2 - View on Scopus

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