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Cognitive Computation

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01-12-2009

Sub-Symbols and Icons

Author: Andreas Wichert

Published in: Cognitive Computation | Issue 4/2009

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Abstract

There is a relationship between perception through biological senses and simple problem-solving. According to the production system theory, we can define a geometrically based problem-solving model as a production system operating on vectors of fixed dimensions (Icons). Our goal is to form a sequence of associations, which lead to a desired state represented by a vector, from an initial state represented by a vector. We define a simple and universal heuristics function, which takes into account the relationship between the vector and the corresponding similarity of the represented object or state in the real world.

previous article Biologically Inspired Tensor Features

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Aleksander I, Dunmall B, Del Frate V. Neurocomputational models of visualisation: a preliminary report. In: Proc. IWANN, Alicante, Spain; 1999.

Aleksander I, Morton H. Neurons and symbols, the stuff that mind is made of. London: Chapman and Hall; 1993.

Aleksander I, Morton H, Dunmall B. Seeing is believing. In: Proc. IWANN, Granada; 2001.

Allport A. Visual attention. In: Posner M, editor. Foundations of cognitive science. Cambridge, MA: The MIT Press; 1989. p. 631–82.

Anderson J. The architecture of cognition. Cambridge: Harvard University Press; 1983.

Anderson JR. Cognitive psychology and its implications. 4th ed. New York: W. H. Freeman and Company; 1995.

Arp R. Scenario visualization: an evolutionary account of creative problem solving. Cambridge: MIT Press; 2008.

Biederman I, Ju G. Surface vs. edge-based determinants of visual recognition. Cogn Psychol. 1988;20:38–64.CrossRefPubMed

Browne A, Sun R. Connectionistic variable binding. Expert Systems. 1999;16(3):189–206.CrossRef

10.

Browne A, Sun R. Connectionistic inference models. Neural Networks. 2001;14:1331–55.CrossRefPubMed

11.

Downing C, Oinker S. The spatial structure of visual attention. In: Posner M, Marin O, editors. Attention and performance XI. Hillsdale, NJ: Erlbaum; 1985. p. 171–87.

12.

Feldman J. Four frames suffice: a provisional model of vision and space. Behavioral and Brain Sciences. 1985;8:265–89.CrossRef

13.

Gilovich T. Tversky. In: Wilson RA, Keil FC, editors. The MIT encyclopedia of the cognitive sciences. New York: The MIT Press; 1999. p. 849–850.

14.

Goldstone R. Similarity. In: Wilson RA, Keil FC, editors. The MIT encyclopedia of the cognitive sciences. New York: The MIT Press; 1999. p. 763–765.

15.

Hofstadter D. Fluid concepts and creative analogies: computer models of the fundamental mechanisms of thought. New York: Basic Books; 1995.

16.

Johnson-Laird P. Mental models: toward a cognitive science of language, inference and consciousness. Cambridge: Harvard University Press; 1983.

17.

Klahr P, Waterman D. Expert systems: techniques, tools and applications. Longman: Addison-Wesley; 1986.

18.

Kosslyn SM. Image and brain, the resolution of the imagery debate. Cambridge: The MIT Press; 1994.

19.

Kurbat M, Smith E, Medin D. Categorization, typicality, and shape similarity. In: Proceedings of the cognitive science meeting. Atlanta, GA; 1994.

20.

Lancy D. Cross-cultural studies in cognition and mathematics. New York: Academic Press; 1983.

21.

Luger GF, Stubblefield WA. Artificial intelligence, structures and strategies for complex problem solving. 3rd ed. Longman: Addison-Wesley; 1998.

22.

McClelland J, Rumelhart D. Distributed memory and the representation of general and specific memory. J Exp Psychol Gen. 1985;114:159–88.CrossRefPubMed

23.

Newell A. Physical symbol systems. San Francisco: Norman; 1981.

24.

Newell A. Unified theories of cognition. Cambridge: Harvard University Press; 1990.

25.

Newell A, Simon H. Human problem solving. Englewood Cliffs: Prentice-Hall; 1972.

26.

Newell A, Simon H. Computer science as empirical inquiry: symbols and search. Communication of the ACM. 1976;19(3):113–26.CrossRef

27.

Opwis K, Ploetzner R. Kognitive psychologie mit dem computer. Heidelberg: Spektrum Akademischer Verlag; 1996.

28.

Osherson DN. New axioms for the contrast model of similarity. J Math Psychol. 1987;31:93–103.CrossRef

29.

Osherson DN. Probability judgment. In: Smith EE, Osherson DN, editors. Thinking, 2nd edn, vol. 3. Chap. 2, New York: MIT Press; 1995. p. 35–75.

30.

Plate T. Holographic reduced representations. IEEE Transactions on Neural Networks. 1995;6(3):623–41.CrossRefPubMed

31.

Plate T. Distributed representations. In: Nadel L, editor. Macmillan encyclopedia of cognitive science. London: Macmillan; 2002.

32.

Posner MI, Raichle EM. Images of mind. New York: Scientific American Library; 1994.

33.

Russell SJ, Norvig P. Artificial intelligence: a modern approach. Englewood Cliffs: Prentice-Hall; 1995.

34.

Simon HA. The science of the artificial. New York: The MIT Press; 1969.

35.

Simon HA. Models of my life. New York: Basic Books; 1991.

36.

Smith E, Sloman S. Similarity vs. rulebased categorization. Memory Cognition. 1994;22:377–86.PubMed

37.

Smith EE. Concepts and categorization. In: Smith EE, Osherson DN, editors. Thinking, 2nd edn, vol. 3. Chap. 1, New York: MIT Press; 1995, p. 3–33.

38.

Stiny G. Shape: talking about seeing and doing. New York: MIT Press; 2006.

39.

Sun R. A two-level hybrid architecture for structuring knowledge for commonsense reasoning. In: Sun R, Bookman LA, editors. Computational architectures integrating neural and symbolic processing. Chap. 8, Boston: Kluwer Academic Publishers; 1995, p. 247–182.

40.

Sussman G. A computer model of skill acquisition. Cambridge: MIT; 1975.

41.

Tarski A. The semantic conception of truth and foundations of semantics. Philos. and Phenom. Res. 1944;4:241–376.

42.

Tarski A. Logic, semantics, metamathematics. London: Oxford University Press; 1956.

43.

Tarski A. Pisma logiczno-filozoficzne. Prawda, vol. 1. Warszawa: Wydawnictwo Naukowe PWN; 1995.

44.

Tversky A. Feature of similarity. Psychol Rev. 1977;84:327–52.CrossRef

45.

Wichert A. Pictorial reasoning with cell assemblies. Connection Science. 2001;13(1):1–42.CrossRef

46.

Wichert A. Learning of associative prediction by experience. Neurocomputing. 2002;48(1–4):741–2.CrossRef

47.

Wichert A. Associative computer: a hybrid connectionistic production system. Cognitive Systems Research. 2005;6(2):111–44.CrossRef

48.

Wichert A, Pereira JD, Carreira P. Visual search light model for mental problem solving. Neurocomputing. 2008;71(13–15):2806–22.CrossRef

49.

Winston PH. Artificial intelligence. 3rd ed. Longman: Addison-Wesley; 1992.

50.

Wermter S, Sun R. Hybrid neural systems. Berlin: Springer–Verlag; 2000.

Title: Sub-Symbols and Icons
Author: Andreas Wichert
Publication date: 01-12-2009
Publisher: Springer-Verlag
Published in: Cognitive Computation / Issue 4/2009
Print ISSN: 1866-9956
Electronic ISSN: 1866-9964
DOI: https://doi.org/10.1007/s12559-009-9027-6

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