Intangible Life:Functorial Connections in Relational Biology

Intangible Life:Functorial Connections in Relational Biology（Anticipation Science）
数学史

原价：

￥ 1215

售价：

优惠

平台大促低至8折优惠

发货周期：预计8-10周发货

作者

Louie

出版社

Springer International Publishing

出版时间

2017年12月20日

装帧

ＩＳＢＮ

9783319654089

复制

页码

264

开本

23.4 x 15.6 x 1.8 cm

语种

英文

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暂无评分

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图书简介

This rare publication continues an exploratory journey in relational biology, a study of biology in terms of the organization of networked connections in living systems. It builds on the author?s two earlier monographs which looked at the epistemology of life and the ontogeny of life. Here the emphasis is on the intangibility of life, that the real nature of living systems is conveyed not by their tangible material basis but by their intangible inherent processes.燑/div>

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Relational biology is the approach that hails ?function dictates structure?; it is mathematics decoded into biological realizations. Therefore, the work begins with a concise introduction to category theory, equiping the reader with the mathematical metalanguage of relation biology. The book is organized around three parts:

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Part I is a comprehensive study of the most important functor in relational biology, the power set functor. 燭he author lays the s

et-theoretic foundations of the functorial connections in relational biology, exploring relations, mappings, and set-valued mappings.

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In Part II, Natural Law receives a new mathematical formulation founded on two axioms: ?Everything is a set.? and ?Every process is a set-valued mapping.? The reader sees how Metabolism?Repair networks, equipped with set-valued processors, expand their role from models of biological entities to generic models of all natural systems. 燑/div>

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Part III expounds the various shades of invertibility in general, and the inversion of encoding to decoding in particular. 燗 plethora of mathematical and biological examples illustrate the category-theoretic concepts of equivalence and adjunction.

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This book?s algebraic approach to biological models will appeal to researchers and graduate students in mathematics, biology, and the philosophy of science.

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