2011/01/01 by Atılım Güneş Baydin, Atilim Gunes Baydin, Ramon López de Mántaras +3 · 6 citations
Computer Science · Mathematics · Psychology · #AI-based Problem Solving and Planning #Artificial intelligence #Cognitive science #Commonsense reasoning #Computer science #Conciliation #Dispute resolution #Flexibility (engineering) #Knowledge management #Mathematics #Mediation #Multi-Agent Systems and Negotiation #Perception #Psychology #Semantic Web and Ontologies #Set (abstract data type) #Sociology #acm:68T05 #acm:68T20 #acm:68T30 #acm:91E40 #cs.AI #cs.LG #msc:68T05 #msc:68T20 #msc:68T30 #msc:91E40
paper · pdf · doi:10.1007/978-3-642-23291-6_28
published in Lecture notes in computer science, 378-392 (Springer Science+Business Media) · 15 pages, 3 figures; updated copyright notice
openalex publication_date 2011/01/01 · arxiv created 2011/10/12 · arxiv updated 2015/03/19 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
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.