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.
| Original language | English |
|---|---|
| Title of host publication | Case-based Reasoning Research and Development |
| Editors | Ashwin Ram, Nirmalie Wiratunga |
| Place of Publication | Germany |
| Publisher | Springer |
| Pages | 378-392 |
| Number of pages | 15 |
| ISBN (Print) | 9783642232909 |
| Publication status | Published - 2011 |
Keywords
- artificial intelligence
- case-based reasoning
- commonsense reasoning
- intelligent agents (computer software)
- mediation