On conflicts in general and their use in AI in particular
Computational conflicts
Computational conflicts
Conflicting agents
A method for conflict detection based on team intention inference
Interacting with Computers
Two families: dynamical policy models in interactive storytelling
IE '07 Proceedings of the 4th Australasian conference on Interactive entertainment
Using conflict theory to model complex societal interactions
Future Play '08 Proceedings of the 2008 Conference on Future Play: Research, Play, Share
Normative conflict resolution in multi-agent systems
Autonomous Agents and Multi-Agent Systems
An Introduction to MultiAgent Systems
An Introduction to MultiAgent Systems
Adversarial behavior in multi-agent systems
CEEMAS'05 Proceedings of the 4th international Central and Eastern European conference on Multi-Agent Systems and Applications
Modelling flexible social commitments and their enforcement
ESAW'04 Proceedings of the 5th international conference on Engineering Societies in the Agents World
A computational approach towards conflict resolution for serious games
Proceedings of the 6th International Conference on Foundations of Digital Games
IVA'12 Proceedings of the 12th international conference on Intelligent Virtual Agents
Rich computational model of conflict for virtual characters
IVA'12 Proceedings of the 12th international conference on Intelligent Virtual Agents
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Conflict and conflict dynamics are phenomena intertwined with social change. The ability to detect conflict it is as important as the ability to resolve conflicts effectively because conflicts can bring attention to the problematic structures in a society. In multi-agent systems (MAS), a great deal of work has been devoted to conflict resolution, but little has been discussed regarding detection or creation of conflicts. In this paper, we argue that these processes are central to the agent's decision-making process and should be explicit in an agents' emotional architecture. Our position is that conflict is at the core of any social interaction. Therefore, we adopt a more natural approach by articulating insights from the social sciences literature to define an explicit model of conflict using an emotional architecture of agents and considering theory-of-mind reasoning. Emotions are central to conflict and its experience; hence, conflict is a dynamic process in which emotions are responsible for activating or deactivating it in a conflict loop. In a simulation of a defined scenario scenario, we become aware of the appraisal processes that are activated when the agents are subjected to conflicts, which fit well with our model of the phenomenon.