Relevance: communication and cognition
Relevance: communication and cognition
Generality in artificial intelligence
Communications of the ACM
Context-mediated behavior for intelligent agents
International Journal of Human-Computer Studies - Special issue: using context in applications
A context model for knowledge-intensive case-based reasoning
International Journal of Human-Computer Studies - Special issue: using context in applications
Fluid Concepts and Creative Analogies: Computer Models of the Fundamental Mechanisms of Thought
Fluid Concepts and Creative Analogies: Computer Models of the Fundamental Mechanisms of Thought
The Architecture of Cognition
STRIPS: a new approach to the application of theorem proving to problem solving
IJCAI'71 Proceedings of the 2nd international joint conference on Artificial intelligence
IJCAI'93 Proceedings of the 13th international joint conference on Artifical intelligence - Volume 1
Processing symbols at variable speed in DUAL: connectionist activation as power supply
IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2
Simulating Context Effects in Problem Solving with AMBR
CONTEXT '01 Proceedings of the Third International and Interdisciplinary Conference on Modeling and Using Context
EC-TEL '09 Proceedings of the 4th European Conference on Technology Enhanced Learning: Learning in the Synergy of Multiple Disciplines
Designing context-sensitive systems: An integrated approach
Expert Systems with Applications: An International Journal
PCI'05 Proceedings of the 10th Panhellenic conference on Advances in Informatics
| Hi-index | 0.00 |
AI and psychological approaches to context are contrasted and the dynamic and automatic nature of the continuous context change in human cognition is emphasized. A dynamic theory of context is presented which defines context as the dynamic state of human mind. It describes the interaction between memory, perception, and reasoning in forming context as well as how they are influenced by context. A general cognitive architecture, DUAL, is presented that implements the mechanisms of context formation and accounts for the context-sensitivity of human cognition. A model of human problem solving, AMBR, has been built upon the DUAL architecture and the simulation experiments performed with it produce data that are coherent with experimental data on human problem solving.