Research Repository

Supporting the Harvard Model of Principled Negotiation with Superexpertise

Gray, Xenogene, Gray, Pamela Noel and Zeleznikow, John (2011) Supporting the Harvard Model of Principled Negotiation with Superexpertise. In: Business Information Systems Workshops: BIS 2011 International Workshops and BPSC International Conference, Poznań, Poland, June 15-17, 2011. Revised papers. Abramowicz, Witold, Maciaszek, Leszek and Wecel, Krzysztof, eds. Lecture Notes in Business Information Processing , 97 . Springer, Berlin, pp. 294-305.

Full text for this resource is not available from the Research Repository.

Abstract

An expert epistemology is a theory about knowledge in the expertise and includes knowledge representation, semantics, specifications, heuristics, reasoning, etc. Superexpert systems employ computer capabilities to extend ordinary human abilities, and are derived from expert epistemologies. A superexpert system, Negotiation Game or NeGame (NeG), is designed to support the Harvard Principled Negotiation model; it is illustrated by a Civilisation application which reframes the Israel-Palestine conflict as the task of negotiating a mutually acceptable civilisation. The negotiation epistemology of NeG evolved from the adversarial epistemology of eGanges (eG); both handle tasks in a user-friendly and transparent way. NeG manages hierarchical complexity of the conflict issues and differences in their subjective values, advises on cumulative scoring of Wins and Losses, and, through mathematical techniques, maximises Win-Win options. Adversarial epistemology requires four-valued logic, whereas negotiation epistemology requires six-valued logic; they share a common knowledge hierarchy, called a River.

Item Type: Book Section
ISBN: 9783642253690 (print) 9783642253706 (online)
Uncontrolled Keywords: ResPubID24881, epistemology, superexpertise, eGanges, principled negotiation, quality control fishbone
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
Related URLs:
Depositing User: VUIR
Date Deposited: 21 Jun 2013 03:16
Last Modified: 15 Dec 2014 22:16
URI: http://vuir.vu.edu.au/id/eprint/10549
DOI: https://doi.org/10.1007/978-3-642-25370-6_29
ePrint Statistics: View download statistics for this item
Citations in Scopus: 0 - View on Scopus

Repository staff only

View Item View Item

Search Google Scholar