Abstract
The theory of hierarchical modular systems (HMSs) has shown how a paltry number of hierarchical levels can massively increase the efficiency of very large systems. Several large natural systems have been identified as self-or- ganizing HMSs, including monetary systems, distribution of settlements on a territory, natural languages (hierarchy given by letters, syllables, words, predi- cates, clauses, sentences, and paragraphs), military hierarchies, etc. In this chapter, the theory of HMS is briefly introduced, a few examples are described, and hierarchical computer architectures are introduced within the framework of the HMSs.
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References
C. Hewitt and H. Lieberman, Design issues in parallel architectures for artificial intelligence, MIT. A. I. Memo No. 750, pp. 1–14 (1983).
L. J. Siegel, H. J. Siegel, and P. H. Swain, Parallel algorithm performance measures, in Multicomputers and Image Processing (L. Uhr, ed.), pp. 241–252, Academic Press, New York (1982).
V. Cantoni and S. Levialdi, Matching the task to a computer architecture, Comput. Vision, Graphics Image Process. 22, 301–309 (1983).
M. D. Kelly, Edge detection in pictures by computers using planning, in Machine Intelligence ,Vol. 6, pp. 397–409, Edinburgh University Press (1971).
S. L. Tanimoto and A. Klinger, Structured Computer Vision: Machine Perception through Hierarchical Computation Structures ,Academic Press, New York (1980).
E. R. Caianiello, Some remarks on organization and structures, Biol. Cybernet. 26, 151–168 (1977).
E. R. Caianiello, G. Scarpetta, and G. Simoncelli, A systematic study of monetary systems, Int. J. Gen. Syst. 8, 81–92 (1982).
E. R. Caianiello, M. Marinaro, G. Scarpetta, and G. Simoncelli, Structure and modularity in self-organizing complex systems, in Topics in the General theory of Structures (E. R. Caianiello and M. A. Aizerman, eds.), pp. 5–57, D. Reidel, Dordrecht (1987).
E. R. Caianiello, A thermodynamical approach to hierarchical self-organizing systems, private communication, seminar delivered at HASA (1979).
J. D. Becker, Structure, justice, and efficiency, Proc. Workshop on Modelling Processing of Structural Change in Social Systems, Beiträge zur Sicherheitspolitik Nr. 3. Max-Planck-Ges., Max-Planck-Institut (1988).
J. C. Hentsch, La circulation des coupures qui constituent une monnaie, J. Soc. Statist. Paris 4, 279–286 (1973).
H. W. Singer, The “courbe des populations”. A parallel to Pareto’s law, Econ. J. 46, 254 (1936).
G. R. Allen, The “courbe des populations”. A further analysis, Bull. Oxford Inst. Statist. 16, 179 (1954).
G. Scarpetta and G. Simoncelli, Self-organizing hierarchical modular systems, in WOPPLOT 86 -Parallel Processing: Logic, Organization and Technology (J. Becker and I. Eisele eds.), pp. 87–119, Springer-Verlag, Berlin (1987).
J. Becker, Structural aspects of organizing parallel processing machines, K. Ecker (Hrsg.), Berichte des Instituts fur Informatik der Universität Clasthal (1988).
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Cantoni, V., Ferretti, M. (1994). Hierarchical Architectures. In: Pyramidal Architectures for Computer Vision. Advances in Computer Vision and Machine Intelligence. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-2413-7_1
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DOI: https://doi.org/10.1007/978-1-4615-2413-7_1
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