Abstract
This paper deals with the problem of the computational representation of “non classical” concepts, i.e. concepts that do not admit a definition in terms of necessary and sufficient conditions (sect. 1). We review some empirical evidence from the field of cognitive psychology, suggesting that concept representation is not an unitary phenomenon. In particular, it seems likely that human beings employ (among other things) both prototypes and exemplar based representations in order to deal with non classical concepts (sect. 2). We suggest that a cognitively in-spired, hybrid prototype-exemplar based approach could be useful also in the field of artificial computational systems (sect. 3). In sect. 4, we take into consideration conceptual spaces as a suitable framework for developing some aspects of such a hybrid approach (sect. 5). Some conclusion follows (sect. 6).
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References
Wittgenstein, L.: Philosophische Untersuchungen. Blackwell, Oxford (1953)
Rosch, E.: Cognitive representation of semantic categories. Journal of Experimental Psychology 104, 573–605 (1975)
Murphy, G.L.: The Big Book of Concepts. The MIT Press, Cambridge (2002)
Machery, E.: Doing without Concepts. Oxford University Press, Oxford (2009)
Frixione, M., Lieto, A.: Prototypes Vs Exemplars in Concept Representation. In: Proc. KEOD, Barcelona (2012)
Medin, D.L., Schaffer, M.M.: Context theory of classification learning. Psyc. Rev. 85(3), 207–238 (1978)
Medin, D.L., Schwanenflugel, P.J.: Linear separability in classification learning. J. of Exp. Psyc.: Human Learning and Memory 7, 355–368 (1981)
Malt, B.C.: An on-line investigation of prototype and exemplar strategies in classification. Journal of Experimental Psychology: Learning, Memory, and Cognition 15(4), 539–555 (1989)
Asby, F.G., Maddox, W.T.: Human Category Learning. Annu. Rev. Psychol. 56, 149–178 (2005)
Kri, S.: The cognitive neuroscience of category learning. Brain Research Reviews 43(1), 85–109 (2003)
Smith, E.E., Jonides, J.: The Cognitive Neuroscience of Categorization. In: Gazzaniga, M.S. (ed.) The New Cognitive Neurosciences, 2nd edn. MIT Press (2000)
Squire, L., Knowlton, B.: Learning about categories in the absence of memory. Proc. Nat. Acad. Sc. USA 92(26), 12470–12474 (1995)
Gardenfors, P.: Conceptual Spaces: The Geometry of Thought. The MIT Press/Bradford Books, Cambridge, MA (2000)
Mastrogiovanni, F., Scalmato, A., Sgorbissa, A., Zaccaria, R.: Problem Awareness for Skilled Humanoid Robots. The Int. J. of Machine Consciousness 3(1), 91–114 (2011)
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Frixione, M., Lieto, A. (2013). Exemplars, Prototypes and Conceptual Spaces. In: Chella, A., Pirrone, R., Sorbello, R., Jóhannsdóttir, K. (eds) Biologically Inspired Cognitive Architectures 2012. Advances in Intelligent Systems and Computing, vol 196. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34274-5_26
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DOI: https://doi.org/10.1007/978-3-642-34274-5_26
Publisher Name: Springer, Berlin, Heidelberg
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