Nonlinear Sciences – Adaptation and Self-Organizing Systems
Scientific paper
1999-07-20
Nonlinear Sciences
Adaptation and Self-Organizing Systems
48 pages, 15 figeres (5 gif files)
Scientific paper
10.1016/S0167-2789(99)00230-4
The articulation process of dynamical networks is studied with a functional map, a minimal model for the dynamic change of relationships through iteration. The model is a dynamical system of a function $f$, not of variables, having a self-reference term $f \circ f$, introduced by recalling that operation in a biological system is often applied to itself, as is typically seen in rules in the natural language or genes. Starting from an inarticulate network, two types of fixed points are formed as an invariant structure with iterations. The function is folded with time, until it has finite or infinite piecewise-flat segments of fixed points, regarded as articulation. For an initial logistic map, attracted functions are classified into step, folded step, fractal, and random phases, according to the degree of folding. Oscillatory dynamics are also found, where function values are mapped to several fixed points periodically. The significance of our results to prototype categorization in language is discussed.
Kaneko Kazuhisa
Kataoka Naoto
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