Stochastic problem solving by local computation based on self-organization paradigm

Yasusi Kanada, Masao Hirokawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Citations (Scopus)

Abstract

We are developing a new problem-solving methodology based on a self-organization paradigm. To realize our future goal of self-organizing computational systems, we have to study computation based on local information and its emergent behavior, which are considered essential in self-organizing systems. This paper presents a stochastic (or nondeterministic) problem solving method using local operations and local evaluation functions. Several constraint satisfaction problems are solved and approximate solutions of several optimization problem are found by this method in polynomial order time in average. Major features of this method are as follows. Problems can be solved using one or a few simple production rules and evaluation functions, both of which work locally, i.e., on a small number of objects. Local maxima of the sum of evaluation function values can sometimes be avoided. Limit cycles of execution can also be avoided. There are two methods for changing the locality of rules. The efficiency of searches and the possibility of falling into local maxima can be controlled by changing the locality.

Original languageEnglish
Title of host publicationProceedings of the Hawaii International Conference on System Sciences
EditorsJay F. Nunamaker, Ralph H.Jr. Sprague
PublisherPubl by IEEE
Pages82-91
Number of pages10
ISBN (Print)0818650702
Publication statusPublished - Jan 1 1994
EventProceedings of the 27th Hawaii International Conference on System Sciences (HICSS-27). Part 4 (of 5) - Wailea, HI, USA
Duration: Jan 4 1994Jan 7 1994

Publication series

NameProceedings of the Hawaii International Conference on System Sciences
Volume3
ISSN (Print)1060-3425

Other

OtherProceedings of the 27th Hawaii International Conference on System Sciences (HICSS-27). Part 4 (of 5)
CityWailea, HI, USA
Period1/4/941/7/94

Fingerprint

Function evaluation
Constraint satisfaction problems
Polynomials

All Science Journal Classification (ASJC) codes

  • Computer Science(all)

Cite this

Kanada, Y., & Hirokawa, M. (1994). Stochastic problem solving by local computation based on self-organization paradigm. In J. F. Nunamaker, & R. H. J. Sprague (Eds.), Proceedings of the Hawaii International Conference on System Sciences (pp. 82-91). (Proceedings of the Hawaii International Conference on System Sciences; Vol. 3). Publ by IEEE.

Stochastic problem solving by local computation based on self-organization paradigm. / Kanada, Yasusi; Hirokawa, Masao.

Proceedings of the Hawaii International Conference on System Sciences. ed. / Jay F. Nunamaker; Ralph H.Jr. Sprague. Publ by IEEE, 1994. p. 82-91 (Proceedings of the Hawaii International Conference on System Sciences; Vol. 3).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Kanada, Y & Hirokawa, M 1994, Stochastic problem solving by local computation based on self-organization paradigm. in JF Nunamaker & RHJ Sprague (eds), Proceedings of the Hawaii International Conference on System Sciences. Proceedings of the Hawaii International Conference on System Sciences, vol. 3, Publ by IEEE, pp. 82-91, Proceedings of the 27th Hawaii International Conference on System Sciences (HICSS-27). Part 4 (of 5), Wailea, HI, USA, 1/4/94.
Kanada Y, Hirokawa M. Stochastic problem solving by local computation based on self-organization paradigm. In Nunamaker JF, Sprague RHJ, editors, Proceedings of the Hawaii International Conference on System Sciences. Publ by IEEE. 1994. p. 82-91. (Proceedings of the Hawaii International Conference on System Sciences).
Kanada, Yasusi ; Hirokawa, Masao. / Stochastic problem solving by local computation based on self-organization paradigm. Proceedings of the Hawaii International Conference on System Sciences. editor / Jay F. Nunamaker ; Ralph H.Jr. Sprague. Publ by IEEE, 1994. pp. 82-91 (Proceedings of the Hawaii International Conference on System Sciences).
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