Rule Based Expert Systems: The Mycin Experiments of the Stanford Heuristic Programming Project (The Addison-Wesley series in artificial intelligence)
IJCAI'93 Proceedings of the 13th international joint conference on Artifical intelligence - Volume 1
Review: a quarter-century of the knowledge engineering review: Introduction to the special issue
The Knowledge Engineering Review
Towards context-based explanations for teacher support
CONTEXT'11 Proceedings of the 7th international and interdisciplinary conference on Modeling and using context
On Some Lessons from Modeling Contexts in Complex Problem Solving in Information Technology
Journal of Information Technology Research
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This paper presents a personal interpretation of the evolution of artificial intelligence (AI) systems during these last 25 years. This evolution is presented along five generations of AI systems, namely expert systems, joint cognitive systems, intelligent systems, intelligent assistant systems, and the coming generation of context-based intelligent assistant systems. Our testimony relies on different real-world applications in different domains, especially for the French national power company, the subway companies in Paris and in Rio de Janeiro, in medicine, a platform for e-maintenance, road safety, and open sources. Our main claim is to underline that the next generation of AI systems (context-based intelligent assistant systems) requires a radically different consideration on context and its relations with the users, the task at hand, the situation, and the environment in which the task is accomplish by the user; the observation of users through their behaviors and not a profile library; a robust conceptual framework for modeling and managing context; and a computational tool for representing in a uniform way pieces of knowledge, of reasoning, and of contexts.