Uncertainty in Constraint Satisfaction Problems: a Probalistic Approach
ECSQARU '93 Proceedings of the European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty
Constraint-Based Tutors: A Success Story
Proceedings of the 14th International conference on Industrial and engineering applications of artificial intelligence and expert systems: engineering of intelligent systems
Building Intelligent Interactive Tutors: Student-centered strategies for revolutionizing e-learning
Building Intelligent Interactive Tutors: Student-centered strategies for revolutionizing e-learning
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Constraint-based modelling techniques have been demonstrated a useful means to develop intelligent tutoring systems in several domains. However, when applying CBM to tasks which require students to explore a large solution space, this approach encounters its limitation: it is not well suited to hypothesize the solution variant intended by the student, and thus corrective feedback might be not in accordance with the student's intention. To solve this problem, we propose to adopt a probabilistic approach for solving constraint satisfaction problems.