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

TL;DR

This paper presents a case-based reasoning system for mediation that combines analogical and commonsense reasoning, enabling an artificial mediator to adapt and transform dispute cases across various domains for better resolution.

Contribution

It introduces a novel mediation approach integrating structured ontologies, analogical reasoning based on Structure Mapping Theory, and domain-independent case adaptation.

Findings

Effective handling of diverse dispute cases

Enhanced flexibility through analogical reasoning

Potential for application in real-world mediation scenarios

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.