Controlling cooperative problem solving in industrial multi-agent systems using joint intentions
Artificial Intelligence
Collaborative plans for complex group action
Artificial Intelligence
A theoretical framework for computer models of cooperative dialogue, acknowledging multiagent conflict
MArCo: Using Meta-cognitive Conflicts to Provoke Strategic Changes
IBERAMIA-SBIA '00 Proceedings of the International Joint Conference, 7th Ibero-American Conference on AI: Advances in Artificial Intelligence
Conflicts in Group Planning: Results from the Experimental Study of MArCo
ITS '02 Proceedings of the 6th International Conference on Intelligent Tutoring Systems
Designing Adaptive Interventions for Online Collaborative Modeling
Education and Information Technologies
MArCo: Building an Artificial Conflict Mediator to Support Group Planning Interactions
International Journal of Artificial Intelligence in Education - "Caring for the Learner" in honour of John Self
Coaching Web-based Collaborative Learning based on Problem Solution Differences and Participation
International Journal of Artificial Intelligence in Education
Interacting with Inspectable Bayesian Student Models
International Journal of Artificial Intelligence in Education
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part IV
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The emphasis on building collaborative/co-operative environments has brought the issue of conflicts to light. The inevitability of conflicts in group interactions, as well as their role as promoters 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. In order to make mediation more effective, we have considered group and individual models, the history of the interaction and model of the task. This approach is exemplified by the implementation of MArCo.