Concurrent Computer and Human Information Processing

  • H. L. Resnikoff


The category of machines is generalized to include living systems as well as conventional mechanical and electrical systems. The man-machine interface is treated as a special case of the interaction of two subsystems of a complex machine. The problem of optimizing the man-machine interface can be considered as a special case of the problem of matching the impedance of interacting systems. The role of concurrent computation is discussed for machines that are intended to provide their operators with decision-sup- port and other capabilities that are normally believed to require intelligence.


Living System Human Vision System Computer Architecture Human Information Processing Image Pyramid 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. Adelson, E. H., and Burt, P., 1981, “Image Data Compression with the Laplacian Pyramid”, Proc. Conf. Pattern Recognition, Dallas, TX, pp. 218–223.Google Scholar
  2. Ahuja, N., and Swamy, S., 1984, “Multiprocessor Pyramid Architectures for Bottom-Up Image Analysis”, IEEE Trans. Pattern Analysis and Machine Intelligence PAMI-6, pp. 463–475.CrossRefGoogle Scholar
  3. Burt, P. J., 1984, “The Pyramid as a Structure for Efficient Computation”, Multiresolution Image Processing and Analysis, Rosenfeld, A., ed., Springer-Verlag, Berlin, pp. 6–35.Google Scholar
  4. Dyer, C. R., and Rosenfeld, A., 1977, Cellular Pyramids for Image Analysis, Dept. Comput. Sci., University of Maryland, Part I: Technical Report TR-544, May 1977, Part 2: Technical Report TR-596, November 1977.Google Scholar
  5. Grosky, I., and Jain, R., 1986, “A Pyramid-Based Approach to Segmentation Applied to Region Matching”, IEEE Trans. Pattern Analysis and Machine Intelligence PAM1–8, pp. 639–650.CrossRefGoogle Scholar
  6. Herrnstein, R. J., 1982, “Stimuli and the Texture of Experience”, Neuroscience and Biobehavioral Review, 6, pp. 105–117.CrossRefGoogle Scholar
  7. Julesz, B., 1981, “Textons, the Elements of Texture Perception”, Nature, 290, pp. 91–97.CrossRefGoogle Scholar
  8. Marr, D., 1982, Vision, W. H. Freeman, San Francisco.Google Scholar
  9. Resnikoff, H. L., 1986, “Concurrent Computation and Models of Biological Information Processing”, Advances in Cognitive Science, Kochen, Manfred, ed., Westview Press, to appear as Chapter 8.Google Scholar
  10. Resnikoff, H. L., to appear, “Cost-Effectiveness of Concurrent Super-Computers”.Google Scholar
  11. Tanimoto, S. L., 1983, “A Pyramidal Approach to Parallel Processing”, Proc. Tenth Int. Symp. Comput. Architecture, Stockholm, June 1983, pp. 372–378.Google Scholar
  12. Tanimoto, S. L., 1984, “Sorting, Histogramming, and Other Statistical Operations on a Pyramid Machine”, Multiresolution Image Processing and Analysis, Rosenfeld, A., ed., Springer-Verlag, pp. 136–145.Google Scholar
  13. Treisman, A., 1986(a), “Properties, Parts and Objects”, Handbook of Perception and Performance: Volume 2, Boff, K., Kauffman, L., and Thomas, J., eds., John Wiley & Sons, Inc.Google Scholar
  14. Treisman, A., 1986(b), “Features and Objects in Visual Processing”, Scientific American, 225, pp. 114B-125.CrossRefGoogle Scholar

Copyright information

© Plenum Press, New York 1987

Authors and Affiliations

  • H. L. Resnikoff
    • 1
  1. 1.Aware, Inc.University PlaceCambridgeUSA

Personalised recommendations