Conceptual structures: information processing in mind and machine
Conceptual structures: information processing in mind and machine
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in expert systems: theory and algorithms
Probabilistic reasoning in expert systems: theory and algorithms
Task-structure analysis for knowledge modeling
Communications of the ACM - Special issue on analysis and modeling in software development
Dynamic Memory: A Theory of Reminding and Learning in Computers and People
Dynamic Memory: A Theory of Reminding and Learning in Computers and People
Introduction to Bayesian Networks
Introduction to Bayesian Networks
Support for the Synthesis and Analysis of Organisational Systems in Deciding on Change
Proceedings of the IFIP TC8/WG8.3 Working Conference on Decision Support Systems: Experiences and Expectations
Hierarchically merging plans in decomposable domains
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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In various industrial fields, the operators use pre-designed procedures either to solve problems or for troubleshooting. In the Parisian subway, such procedures exist since 1900. However, these procedures are not always exactly suited to the case at hand, and the operators generally prefer to customize a solution than to rely on fixed procedures. A new generation of decision support systems, so-called "intelligent" assistant systems, offers more flexible possibilities of cooperation between the users and the system. SART is such a system, for its design, we have modeled operators' activity to model the cooperation between the operators and the system. As a result, we introduce the contextual graph paradigm, which appears as a possible computer representation of schemes that are used in psychology to describe human activities.