Special Issue on:
Artificial Intelligence Techniques for Conflict Resolution Editors: Reyhan Aydoğan (Özyeğin University;
[email protected]) Tim Baarslag (Centrum Wiskunde & Informatica (CWI);
[email protected]) Enrico Gerding (University of Southampton;
[email protected])
Deadline for submissions: 30 April 2017.
Conflict resolution is studied by a wide range of disciplines including biology, economics, mathematics, social sciences, law, and dialogue theory. Computer science and artificial intelligence have, in turn, been inspired by theories and techniques from these disciplines, which has led to a variety of computational models and approaches, such as automated negotiation, group decision making, argumentation, preference aggregation, and human‐machine interaction. This special issue of the Group Decision and Negotiation Journal calls for state‐of‐the‐art contributions on conflict resolution using artificial intelligence techniques. The focus is on novel studies concerning models and applications of conflict resolution in relation to decision making and action selection. Submissions should propose, use or analyse computational models for detecting and/or resolving conflicts between software entities (inter‐agent or intra‐agent), software entities and humans, and humans facilitated by computational models and tools. Topics include but are not limited to: ‐ Negotiation: automated negotiation and / or negotiation support ‐ Decision Support Systems for conflict resolution ‐ Argumentation for resolving conflicts ‐ Social sciences approach to conflict resolutions ‐ Computational models for conflict resolution ‐ Emotion, Trust, Reputation and its effect on conflict resolution ‐ Data science and conflict resolution ‐ Social Simulation ‐ Social Choice Models for Conflict Resolution ‐ Preference Modelling and Aggregation ‐ Agent/Robot Action Selection in conflict situations ‐ Computer Supported Cooperative Work ‐ Game Theory & Experimental Economics applied to conflict resolution Submission Instructions Each paper will be peer‐reviewed according to the editorial policy of GDN for special issues (http://www.springerlink.com/content/100270/). Papers should be original, unpublished, and not currently under consideration for publication elsewhere. They should be prepared according to the instructions to authors that can be found on the journal homepage. Abbreviated title AIT for CR is the abbreviated title of the Special Issue. The authors should select this title when they submit their manuscripts using the online Editorial Manager: http://www.editorialmanager.com/grup
