SOAR: an architecture for general intelligence
Artificial Intelligence
Readings in nonmonotonic reasoning
Communication requirements for cooperative problem solving systems
Information Systems - Knowledge engineering
Explorations in joint human-machine cognitive systems
Cognition, computing, and cooperation
Situated cognition: Stepping out of representational flatland
AI Communications
Context: in the eyes of users and in computer systems
ACM SIGCHI Bulletin
Notes on design practice: stories and prototypes as catalysts for communication
Scenario-based design
Scenario use in the design of a speech recognition system
Scenario-based design
Communications of the ACM
UML toolkit
Context-mediated behavior for intelligent agents
International Journal of Human-Computer Studies - Special issue: using context in applications
Context-based representation of intelligent behavior in training simulations
Transactions of the Society for Computer Simulation International
Context and interaction in zoomable user interfaces
AVI '00 Proceedings of the working conference on Advanced visual interfaces
Evaluating Explanations: A Content Theory
Evaluating Explanations: A Content Theory
Interpretation and Rule Packet in Expert Systems. Application to the SEPT Expert System
KBCS '89 Proceedings of the International Conference on Knowledge Based Computer Systems
An Efficient Approach to Iterative Browsing and Retrieval for Case-Based Reasoning
IEA/AIE '98 Proceedings of the 11th International Conference on Industrial and Engineering Applications of Artificial In telligence and Expert Systems: Tasks and Methods in Applied Artificial Intelligence
A Planning Representation for Automated Exploratory Data Analysis
A Planning Representation for Automated Exploratory Data Analysis
Context in problem solving: a survey
The Knowledge Engineering Review
Procedures in complex systems: the airline cockpit
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
The Knowledge Engineering Review
Comparing two context-driven approaches for representation of human tactical behavior
The Knowledge Engineering Review
Context-Based Constraints in Security: Motivations and First Approach
Electronic Notes in Theoretical Computer Science (ENTCS)
Context dynamics in software engineering process
CSCWD'06 Proceedings of the 10th international conference on Computer supported cooperative work in design III
Tale of two context-based formalisms for representing human knowledge
IEA/AIE'06 Proceedings of the 19th international conference on Advances in Applied Artificial Intelligence: industrial, Engineering and Other Applications of Applied Intelligent Systems
Some characteristics of context
IEA/AIE'06 Proceedings of the 19th international conference on Advances in Applied Artificial Intelligence: industrial, Engineering and Other Applications of Applied Intelligent Systems
Understanding context before using it
CONTEXT'05 Proceedings of the 5th international conference on Modeling and Using Context
Task-Realization models in contextual graphs
CONTEXT'05 Proceedings of the 5th international conference on Modeling and Using Context
Identifying the interaction context in CSCLE
CONTEXT'05 Proceedings of the 5th international conference on Modeling and Using Context
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Over the last ten years a community that is interested in context has emerged. Brézillon (1999) gave a survey of the literature on context in artificial intelligence. There is now a series of conferences on context, a website and a mailing list. The number of web pages with the word “context” has increased tenfold in the last five years. Being among the instigators of the use of context in real-world applications, I present in this paper the evolution of my thoughts over the last years and the results that have been obtained, including a representation formalism based on contextual graphs and the use of this formalism in a real-world application called SART. I present how procedures, practices and context are intertwined, as identified in the SART application and in different domains. I root my view of context in the artificial intelligence area and give a general presentation of my view of context under the three aspects – external knowledge, contextual knowledge and proceduralised context – with the implementation of this view in contextual graphs. I discuss how reasoning is carried out, based on procedure and practices, in the formalism of contextual graphs and show how incremental acquisition of practices is integrated in this formalism.