Semantical considerations on nonmonotonic logic
Artificial Intelligence
Applications of circumscription to formalizing common-sense knowledge
Artificial Intelligence
Relevance: communication and cognition
Relevance: communication and cognition
Artificial Intelligence
General theory of cumulative inference
Proceedings of the 2nd international workshop on Non-monotonic reasoning
The use of knowledge in analogy and induction
The use of knowledge in analogy and induction
Nonmonotonic reasoning, preferential models and cumulative logics
Artificial Intelligence
Theoretical foundations for non-monotonic reasoning in expert systems
Logics and models of concurrent systems
On the thresholds of knowledge
Artificial Intelligence
The owl and the electric encyclopedia
Artificial Intelligence
Journal of Logic Programming
What computers still can't do: a critique of artificial reason
What computers still can't do: a critique of artificial reason
Conditional logics for default reasoning and belief revision
Conditional logics for default reasoning and belief revision
Irrelevance reasoning in knowledge-based systems
Irrelevance reasoning in knowledge-based systems
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
Nonmonotonic Logic II: Nonmonotonic Modal Theories
Journal of the ACM (JACM)
Mind Design II: Philosophy, Psychology, Artificial Intelligence
Mind Design II: Philosophy, Psychology, Artificial Intelligence
Building Large Knowledge-Based Systems; Representation and Inference in the Cyc Project
Building Large Knowledge-Based Systems; Representation and Inference in the Cyc Project
Formalizing Context (Expanded Notes)
Formalizing Context (Expanded Notes)
IJCAI'87 Proceedings of the 10th international joint conference on Artificial intelligence - Volume 1
A logic for representing default and prototypical properties
IJCAI'87 Proceedings of the 10th international joint conference on Artificial intelligence - Volume 1
Using activity theory to model context awareness
MRC'05 Proceedings of the Second international conference on Modeling and Retrieval of Context
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In recent years, AI research has started to take seriously the role of context in developing models. This trend is heralded by a departure from logic-based views and their over-emphasis on the formal aspects of thought processes. The departure, however, has not been complete-- some fundamental assumptions of formal logic are still maintained in the new approaches. Similarly, "relevance" remains a major challenge for AI research. This paper outlines an alternative proposal that takes context and relevance as intertwined aspects of thought and intelligence. We argue for a pragmatic approach, which shows better promise than formal logic in dealing with such issues.