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March 1993 Archives

Kanada, Y., and Hirokawa, M.: , SIG Notes of Symbol Processing, Information Processing Society of Japan, 93-SYM-68-2, 1993, Published by IPSJ.

[ 日本語のページ ]
[ Paper PDF file (in Japanese) ] [ Paper postscript file (in Japanese) ]
[ OHP postscript file: Slides, Handout ]
[ OHP PDF ファイル: Slides, Handout ]

[ N queens problem demo in Java ]

Abstract: The authors have proposed the Chemical Casting Model (CCM), which is a computation model for self-organizing computation. In this model, "programs" consist of a few production rules and evaluation functions (or local order degrees), both of which only refer to local information. A method of solving certain constraint-satisfaction problems, based on this model, is presented in this paper. This method enables to solve constraint-satisfaction problems, such as the N-queens problems or map coloring problems, in a polynomial order time, without using deterministic and procedural constraint propagation, but using a stochastic method, and by a very simple "program." This paper also mentions to the characteristics of the computation by on this method, based on several measurements.

Introduction to this research theme: CCM: Chemical-Computation Model

Keywords: CCM, Constraint satisfaction problem, Emergent Computation, Randomized computation, Randomized problem solving, Rule-based computation, Rule-based problem solving, Local information, Localized computation, Local evaluation function, Production system, N queens problem, Coloring problem

Kanada, Y., Technical Report of IEICE, COMP92-93 and SS92-40, The Institute of Electronics, Information and Communication Engineers, pp. 1-10, 1993, Published by IEICE.

[ 日本語のページ ]
[ Paper PDF file (in Japanese) ] [ Paper postscript file (in Japanese) ]
[ OHP postscript file: Slides, Handout ]
[ OHP PDF file: Slides, Handout ]

Abstract: Systems, which perform complex symbol processing, can neigher be understood by understanding the program statically nor by tracking their microscopic behavior. Thus, macroscopic models of the computation processes are necessary to understand the systems. Macroscopic models are also necessary for automatic control of computation and realizing self-organizing computation. This paper examines foundation of macroscopic theory of computation processes, and proposes modeling based on stochastic process theory. This paper also gives an example of a macroscopic model, the Markov chain model of the Chemical Casting Model (CCM), which is a microscopic model, and analizes computation processes of a graph coloring problem based on CCM. This theory realizes a fusion of symbol computation in the microscopic model and pattern computation in the macroscopic model.

Introduction to this research theme: CCM: Chemical-Computation Model

Keywords: CCM, Symbol Processing, Stochastic Process, Emergent computation, Randomized computation, Randomized problem solving, Rule-based computation, Rule-based problem solving, Stochastic Process, Local information, Localized computation, Self organization, Micro model, Macro model, Symbolcomputation, Pattern computation
(C) Copyright 2007 by Yasusi Kanada
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