Intention is choice with commitment
Artificial Intelligence
Controlling cooperative problem solving in industrial multi-agent systems using joint intentions
Artificial Intelligence
Collaborative plans for complex group action
Artificial Intelligence
A foundational theory of belief and belief change
Artificial Intelligence
A Conditional Logic for Belief Revision
JELIA '98 Proceedings of the European Workshop on Logics in Artificial Intelligence
Using Meta-cognitive Conflicts to Support Group Problem Solving
ITS '00 Proceedings of the 5th International Conference on Intelligent Tutoring Systems
A theoretical framework for computer models of cooperative dialogue, acknowledging multiagent conflict
Conflicts in Group Planning: Results from the Experimental Study of MArCo
ITS '02 Proceedings of the 6th International Conference on Intelligent Tutoring Systems
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The inevitability of conflicts in group interactions and their role as promoters of cognitive changes as well as of reflection and articulation has generated a significant amount of research on the subject. In this light, we have built a computational framework for the detection and mediation of meta-cognitive conflicts, aiming at fostering more productive interactions. When mediating a conflict situation, we diagnose which strategic change is happening, and suggest courses of action that can lead to more refined solutions. In order to make mediation more effective, we have also considered group and individual models, the history of the interaction and model of the task. Our approach is exemplified by the implementation of MArCo.