English

CBR with Commonsense Reasoning and Structure Mapping: An Application to Mediation

Artificial Intelligence 2015-03-19 v2 Machine Learning

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.

Keywords

Cite

@article{arxiv.1108.0039,
  title  = {CBR with Commonsense Reasoning and Structure Mapping: An Application to Mediation},
  author = {Atilim Gunes Baydin and Ramon Lopez de Mantaras and Simeon Simoff and Carles Sierra},
  journal= {arXiv preprint arXiv:1108.0039},
  year   = {2015}
}

Comments

15 pages, 3 figures; updated copyright notice

R2 v1 2026-06-21T18:44:13.002Z