Negotiating logic

for richer or poorer

Pamela N. Gray, Xenogene Gray, John Zeleznikow

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

6 Citations (Scopus)

Abstract

Negaid is posed as a plugin of a legal expert system shell, eGanges, which provides negotiation support for conflict prevention applications. A cohabitation contract application that uses an ontology of potential conflict demonstrates the negotiation logic of the expert system as seamless with the Negaid algorithm, a revised version of the Family Winner algorithm. The new negotiation algorithm incorporates the use and reuse of the cohabitation contract application until a list of differences can be identified for resolution as a matter of compromise. The list is then subjected to the Negaid algorithm, which assists in the negotiation process by suggesting trade-offs.
Original languageEnglish
Title of host publicationEleventh International Conference on Artificial Intelligence and Law
Subtitle of host publicationproceedings, June 4-8, 2007, Stanford Law School, Stanford, California
EditorsRadboud Winkels, Anne Gardner
Place of PublicationNew York
PublisherAssociation for Computing Machinery
Pages247-252
Number of pages6
ISBN (Print)9781595936806
DOIs
Publication statusPublished - 2007
EventInternational Conference on Artificial Intelligence and Law (11th : 2007) - Stanford, California
Duration: 4 Jun 20078 Jun 2007

Conference

ConferenceInternational Conference on Artificial Intelligence and Law (11th : 2007)
CityStanford, California
Period4/06/078/06/07

Keywords

  • dispute avoidance
  • legal expert systems
  • legal practitioner ontologies
  • negotiation planning
  • negotiation support systems

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