Tale of Two Context-Based Formalisms for Representing Human Knowledge

Author:

Brézillon Patrick,Gonzalez Avelino J.

Publisher

Springer Berlin Heidelberg

Reference20 articles.

1. Aihe, D., Gonzalez, A.J.: Context-driven Reinforcement Learning. In: Proceedings of the Second Swedish-American Workshop on Modeling and Simulation, Cocoa Beach, FL (February 2-3, 2004)

2. Anderson, J.R., Matessa, M., Lebiere, C.: ACT-R: A theory of higher level cognition and its relation to visual attention. Human Computer Interaction 12(4), 439–462 (1997)

3. Barrett, G.C., Gonzalez, A.J.: Expanding Knowledge Representation within Context Based Reasoning to Facilitate Modeling Collaborative Behaviors. In: Proceedings of the European Simulation Interoperability Workshop, Euro-SIW, Edinburgh, Scotland (June 2004)

4. Lecture Notes in Computer Science;M. Bazire,2005

5. Brezillon, P.: Modeling and Using Contexts: Past, Present and Future. Research Report, Laboratoire d’Informatique de Paris 6, Pierre and Marie Curie University, Paris, France (2002)

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