CBR with commonsense reasoning and structure mapping: an application to mediation

  • Authors:
  • At$#305;l$#305;m Güneş Baydin;Ramon López de M$#225;ntaras;Simeon Simoff;Carles Sierra

  • Affiliations:
  • Artificial Intelligence Research Institute, IIIA-CSIC, Bellaterra, Spain;Artificial Intelligence Research Institute, IIIA-CSIC, Bellaterra, Spain;School of Computing and Mathematics, University of Western Sydney, NSW, Australia;Artificial Intelligence Research Institute, IIIA-CSIC, Bellaterra, Spain

  • Venue:
  • ICCBR'11 Proceedings of the 19th international conference on Case-Based Reasoning Research and Development
  • Year:
  • 2011

Quantified Score

Hi-index 0.00

Visualization

Abstract

Mediation is an important method in dispute resolution. We implement a case based reasoning approach to mediation integrating analogical and commonsense reasoning components that allow an artificial mediation agent to satisfy requirements expected from a human mediator, in particular: utilizing experience with cases in different domains; and structurally transforming the set of issues for a better solution. We utilize a case structure based on ontologies reflecting the perceptions of the parties in dispute. The analogical reasoning component, employing the Structure Mapping Theory from psychology, provides a flexibility to respond innovatively in unusual circumstances, in contrast with conventional approaches confined into specialized problem domains. We aim to build a mediation case base incorporating real world instances ranging from interpersonal or intergroup disputes to international conflicts.