Abstract
A new kind of concept representation and processing formalisms, dynamic concept systems (DCS), is introduced. DCS are designed to model context-sensitive and compositionally productive interaction of many concepts in a quasi-continuous fashion, with subsumption, robust classification and metonymy as derivable features. DCS are symbolic throughout but in some respects inspired by complex systems theory. This paper concentrates on the representational aspects of DCS, giving their procedural features a passing glance.
Preview
Unable to display preview. Download preview PDF.
References
Barsalou, Lawrence W. The Instability of Graded Structure: Implications for the Nature of Concepts. In: Neisser, Ulric (ed.): Concepts and Conceptual Development: Ecological and Intellectual Factors in categorization. Cambridge University Press 1987
Chalmers, David J., Robert M. French and Douglas R. Hofstadter. High-Level Perception, Representation, and Analogy: A Critique of Artificial Intelligence Methodology. Preprint 1991, submitted to the Journal of Experimental and Theoretical Artificial Intelligence
Fodor, Jerry A. and Zenon W. Pylyshyn. Connectionism and Cognitive Architecture: A Critical Analysis. Cognition 28,1988, 3–71
Forrest, Stephanie. Emergent Computation: Self-organizing, Collective, and Cooperative Phenomena in Natural and Artificial Computation Networks. Introduction to the Proceedings of the 9th Annual CNLS Conference. Physica D 42, 1990, 1–11
Goschke, Thomas and Dirk Koppelberg. Connectionist Representation, Semantic Compositionality, and the Instability of Concept Structure. Psych. Research 52, 1990, 253–270
Lakoff, George. Women, Fire, and Dangerous Things. The Univ. of Chicago Press 1987
Nebel, Bernhard. Reasoning and Revision in Hybrid Representation Systems. Springer Lecture Notes in Artificial Intelligence 422, 1990
Newell, Allen. Physical Symbol Systems. Cognitive Science 4, 1980, 135–183
Samad, Tariq and Peggy Israel. A Browser for Large Knowledge Bases Based on a Hybrid Distributed/Local Connectionist Architecture. IEEE Transactions on Knowledge and Data Engineering, Vol. 3 No. 1, 1991, 89–99
Smolensky, Paul. Information Processing in Dynamical Systems: Foundations of Harmony Theory. In: Rumelhart, David E., McClelland, James L. (eds.): Parallel Distributed Processing Vol 1, 1986, 194–281
Wachsmuth, Ipke and Josef Meyer-Fujara. Addressing the Retrieval Problem in Large Knowledge Bases. Proceedings of the Computational Intelligence-90 Symposion on Heterogenous Knowledge Representation Systems, Milano, Sept. 1990.
Waltz, David L. and Jordan B. Pollack. Massively Parallel Parsing: A Strongly Interactive Model of Natural Language Interpretation. Cognitive Science 9, 1985, 51–74
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1991 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Jaeger, H. (1991). An introduction to dynamic concept systems. In: Boley, H., Richter, M.M. (eds) Processing Declarative Knowledge. PDK 1991. Lecture Notes in Computer Science, vol 567. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0013523
Download citation
DOI: https://doi.org/10.1007/BFb0013523
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-55033-4
Online ISBN: 978-3-540-46667-3
eBook Packages: Springer Book Archive