Information | |
Complexity and Dynamical Depth | |
Terrence Deacon1  | |
[1] Department of Anthropology, 232 Kroeber, University of California, Berkeley, CA 94720, USA | |
关键词: complexity; dynamical system; self-organization; machine; organism; teleodynamics; morphodynamics; non-linear; computation; information; | |
DOI : 10.3390/info5030404 | |
来源: mdpi | |
【 摘 要 】
We argue that a critical difference distinguishing machines from organisms and computers from brains is not complexity in a structural sense, but a difference in dynamical organization that is not well accounted for by current complexity measures. We propose a measure of the complexity of a system that is largely orthogonal to computational, information theoretic, or thermodynamic conceptions of structural complexity. What we call a system’s
【 授权许可】
CC BY
© 2014 by the authors; licensee MDPI, Basel, Switzerland.
【 预 览 】
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