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The Psychological Basis of Cognitive Modeling

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Cognitive Engineering

Part of the book series: Advanced Information and Knowledge Processing ((AI&KP))

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1.11 Summary

Cognitive science has emerged as a new discipline of knowledge that deals with the mental aspects of the human beings. The chapter attempts to explain the psychological processes involved in human reasoning, learning, understanding, and planning. It elucidated various models of human memory and representation of imagery and cognitive maps on memory. The mechanism of understanding a complex problem is also presented here with special reference to the focus of attention in the problem.

Human beings usually perform a complex task by activating various distributed modules of their brain. The chapter takes a preparatory attempt to model distributed processes involved in human reasoning, learning, planning, etc. by a specialized distributed model similar with Petri nets. It ends with a discussion on the elementary properties of classical Petri nets and suggests the necessary extensions as required to model the brain processes.

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References

  1. Atkinson, R. C. and Shiffrin, R. M., “Human memory: A proposed system and its control process,” In The Psychology of Learning and Motivation: Advances in Research and Theory, Spence, K. W. and Spence, J. T. (Eds.), vol. 2, Academic Press, New York, 1968.

    Google Scholar 

  2. Baddeley, A. D., “The fractionation of human memory,” Psychological Medicine, vol. 14, pp. 259–264, 1984.

    Article  Google Scholar 

  3. Bharick, H. P., “Semantic memory content in permastore: Fifty years of memory for Spanish learned in school,” Journal of Experimental Psychology: General, vol. 120, pp. 20–33, 1984.

    Article  Google Scholar 

  4. Biswas, B., Mukherjee, A. K. and Konar, A., “Matching of digital images using fuzzy logic,” Advances in Modeling & Analysis, B, vol. 35, no. 2, 1995.

    Google Scholar 

  5. Biswas, B., Konar, A. and Mukherjee, A. K., “Fuzzy moments for digital image matching,” Communicated to Engineering Applications of Artificial Intelligence, Elsevier, North-Holland, Amsterdam; also appeared in the Proc. of Int. Conf. on Control, Automation, Robotics and Computer Vision, ICARCV,’ 98, 1998.

    Google Scholar 

  6. Chang, T. M., “Semantic memory: facts and models,” Psychological Bulletin, vol. 99, pp. 199–220, 1986.

    Article  Google Scholar 

  7. Downs, R. M. and Davis, S., Cognitive Maps and Spatial Behavior: Process and Products, Aldine Publishing Co., 1973.

    Google Scholar 

  8. Duncan, E. M. and Bourg, T., “An examination of the effects of encoding and decision processes on the rate of mental rotation,” Journal of Mental Imagery, vol. 7, pp. 33–56, 1983.

    Google Scholar 

  9. Goldenberg, G., Podreka, I., Steiner, M., Suess, E., Deecke, L. and Willmes, K., “Pattern of regional cerebral blood flow related to visual and motor imagery, Results of Emission Computerized Tomography,” In Cognitive and Neuropsychological Approaches to Mental Imagery, Denis, M, Engelkamp, J. and Richardson, J. T. E. (Eds.), Martinus Nijhoff Publishers, Dordrecht, The Netherlands, pp. 363–373, 1988.

    Google Scholar 

  10. Greeno, J. G., “Process of understanding in problem solving,” In Cognitive Theory, Castellan, N. J., Pisoni, Jr. D. B. and Potts, G. R, Hillsdale, N. J. (Eds.), Erlbaum, vol. 2, pp. 43–84,1977.

    Google Scholar 

  11. Gross, C. G. and Zeigler, H. P., Readings in Physiological Psychology: Learning and Memory, Harper & Row, New York, 1969.

    Google Scholar 

  12. Farah, M. J., “Is visual imagery really visual? Overlooked evidence from neuropsychology,” Psychological Review, Vol. 95, pp. 307–317, 1988.

    Article  Google Scholar 

  13. Jolicoeur, P., “The time to name disoriented natural objects,” Memory and Cognition, vol. 13, pp. 289–303, 1985.

    Google Scholar 

  14. Kintsch, W., “The role of knowledge in discourse comprehension: A construction-integration model,” Psychological Review, vol. 95, pp. 163–182, 1988.

    Article  Google Scholar 

  15. Kintsch, W. and Buschke, H., “Homophones and synonyms in short term memory,” Journal of Experimental Psychology, vol. 80, pp. 403–407, 1985.

    Article  Google Scholar 

  16. Konar, A. and Pal, S., “Modeling cognition with fuzzy neural nets,” In Fuzzy Logic Theory: Techniques and Applications, Leondes, C. T. (Ed.), Academic Press, New York, 1999.

    Google Scholar 

  17. Kosslyn, S. M., “Mental imagery,” In Visual Cognition and Action: An Invitation to Cognitive Science, Osherson, D. N. and Hollerback, J. M. (Eds.), vol. 2, pp. 73–97, 1990.

    Google Scholar 

  18. Kosslyn, S. M., “Aspects of cognitive neuroscience of mental imagery,” Science, vol. 240, pp. 1621–1626, 1988.

    Article  Google Scholar 

  19. Marr, D., Vision, W. H. Freeman, San Francisco, 1981.

    Google Scholar 

  20. Matlin, M. W., Cognition, Harcourt Brace Pub., Reprinted by Prism Books Pvt. Ltd., Bangalore, India, 1994.

    Google Scholar 

  21. Milner, B., “Amnesia following operation on the temporal lobe,” In Amnesia Following Operation on the Temporal Lobes, Whitty, C. W. M. and Zangwill O. L. (Eds.), Butterworth, London, pp. 109–133,1966.

    Google Scholar 

  22. McNamara, T. P., Ratcliff, R. and McKoon, G., “The mental representation of knowledge acquired from maps,” Journal of Experimental Psychology: Learning, Memory and Cognition, pp. 723–732, 1984.

    Google Scholar 

  23. Moar, I. and Bower, G. H., “Inconsistency in spatial knowledge,” Memory and Cognition, vol. 11, pp.107–113, 1983.

    Google Scholar 

  24. Moyer, R. S. and Dumais, S. T., “Mental comparison,” In The Psychology of Learning and Motivation, Bower, G. H. (Ed.), vol. 12, pp. 117–156, 1978.

    Google Scholar 

  25. Murata, T., “Petri nets: Properties, analysis and applications,” Proc. of the IEEE, vol. 77, no. 4, pp. 541–580, 1989.

    Article  Google Scholar 

  26. Paivio, A., “On exploring visual knowledge,” In Visual Learning, Thinking and Communication, Randhawa, B. S. and Coffman, W. E. (Eds.), Academic Press, New York, pp. 113–132, 1978.

    Google Scholar 

  27. Pal, S. and Konar, A., “Cognitive reasoning with fuzzy neural nets,” IEEE Trans. on Systems, Man and Cybernetics, Part-B, August, 1996.

    Google Scholar 

  28. Peterson, M. A., Kihlstrom, J. F., Rose, P. M. and Glisky, M. L., “Mental images can be ambiguous: Reconstruals and reference-frame reversals,” Memory and Cognition, vol. 20, pp. 107–123, 1991.

    Google Scholar 

  29. Pylyshyn, Z. W., “Imagery and artificial intelligence,” In Minnesota Studies in the Philosophy of Science, vol. 9: Perception and Cognition Issues in the Foundations of Psychology, University of Minnesota Press, Minneapolis, pp. 19–56, 1978.

    Google Scholar 

  30. Rumelhart, D. E., McClelland, J. L. and the PDP research group, Parallel Distributed Processing: Explorations in the Microstructure of Cognition, vol. 1 and 2, MIT Press, Cambridge, MA, 1968.

    Google Scholar 

  31. Shepard, R. N. and Cooper, L.A. (Eds.), Mental Images and Their Transformations, MIT Press, Cambridge, MA, 1981.

    Google Scholar 

  32. Shepherd, R. N. and Metzler, Z., “Mental rotation of three dimensional objects,” Science, vol. 171, pp. 701–703, 1971.

    Article  Google Scholar 

  33. Tulving, E., “Multiple memory systems and consciousness,” Human Neurobiology, vol. 6, pp. 67–80, 1987.

    Google Scholar 

  34. Tveter, D. R., The Pattern Recognition Basis of Artificial Intelligence, IEEE Computer Society Press, Los Alamitos, pp. 168–169, 1998.

    Google Scholar 

  35. Washerman, P. D., Neural Computing: Theory and Practice, Van Nostrand Reinhold, New York, 1989.

    Google Scholar 

Download references

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© 2005 Springer-Verlag London Limited

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(2005). The Psychological Basis of Cognitive Modeling. In: Cognitive Engineering. Advanced Information and Knowledge Processing. Springer, London. https://doi.org/10.1007/1-84628-234-9_1

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  • DOI: https://doi.org/10.1007/1-84628-234-9_1

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-85233-975-3

  • Online ISBN: 978-1-84628-234-8

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