Computational Linguistics
Knowledge representation: logical, philosophical and computational foundations
Knowledge representation: logical, philosophical and computational foundations
Being There: Putting Brain, Body, and World Together Again
Being There: Putting Brain, Body, and World Together Again
Formal Concept Analysis: Mathematical Foundations
Formal Concept Analysis: Mathematical Foundations
ICCS '99 Proceedings of the 7th International Conference on Conceptual Structures: Standards and Practices
ICCS '01 Proceedings of the 9th International Conference on Conceptual Structures: Broadening the Base
Reducing lexical semantic complexity with systematic polysemous classes and underspecification
NLPComplexity '00 NAACL-ANLP 2000 Workshop: Syntactic and Semantic Complexity in Natural Language Processing Systems
Linguistic applications of formal concept analysis
Formal Concept Analysis
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In several fields there is a divide between formal and associative models of concepts and reasoning. For example, in AI associative models such as neural networks and evolutionary computation are distinguished from symbolic, logic-based approaches. In psychology, fuzzy or category-based approaches compete with the "classical" theory of classification. In information science, systems based on dynamic, emergent structures can be distinguished from formal, manually designed structures. This paper argues that both modes of representation, formal and associative ones, need to be considered simultaneously for knowledge representation systems. This paper investigates the relationship between formal and associative structures and provides suggestions for bridging the gap between the two modes of representation.