Call for Papers

Today’s world is social and complex in nature. Societies have evolved and many problems faced by individuals can no longer be solved in solitude. We require others’ cooperation to pursue our own goals, in the many complex scenarios like politics and businesses, and also when facing the innumerable tasks in our day to day life. Unfortunately, we all hold different goals and interests, and conflict emerges as a natural part of our lives. Successful cooperations require  solving conflicts among interested parties. The importance of conflict resolution has driven research in many fields like anthropology, psychology, mathematics, biology, and lately, in artificial intelligence.

Despite their diametrically different approaches, the goal of these disciplines has always revolved around either solving conflict or helping us to understand conflicts and ways to resolve them in a more thorough way. This can be explained not only from our need to cooperate across the globe, but also from the global importance of avoiding escalation and, therefore, from striving for a better society.

The focus of this workshop is on theoretical and practical computational approaches for solving and understanding conflict resolution.  These computational approaches may be inspired by a wide variety of disciplines such as the anthropology, psychology, economy, biology, statistics, mathematics, and computer science itself. Indeed, one of the goals of this workshop is to allow researchers from different disciplines to discuss their perspectives on conflict resolution. We particularly emphasize the role of computational models and applications of conflict resolution in relation to decision making and action selection.  

Submissions should propose, use or analyze (a) computational model(s) of conflict resolution in relation to action selection or decision making for

  • resolving conflict between software entities (inter-agent or intra-agent),
  • resolving conflict between software entities and humans,
  • resolving conflict between humans facilitated by the support of computational models and tools,
  • understanding conflict in general (e.g., inter-agent, intra-agent, for human or artificial agents).

Relevant topics include, but are not limited to, applications and theoretical approaches, based on:

  • Negotiation: automated negotiation and / or negotiation support
  • Decision Support Systems
  • Argumentation
  • Social science 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
  • Preference Modeling and Aggregation
  • Agent/Robot Action Selection
  • Computer Supported Cooperative Work
  • Game Theory & Experimental Economics