Description

Book Synopsis
An introduction to category theory as a rigorous, flexible, and coherent modeling language that can be used across the sciences.

Category theory was invented in the 1940s to unify and synthesize different areas in mathematics, and it has proven remarkably successful in enabling powerful communication between disparate fields and subfields within mathematics. This book shows that category theory can be useful outside of mathematics as a rigorous, flexible, and coherent modeling language throughout the sciences. Information is inherently dynamic; the same ideas can be organized and reorganized in countless ways, and the ability to translate between such organizational structures is becoming increasingly important in the sciences. Category theory offers a unifying framework for information modeling that can facilitate the translation of knowledge between disciplines.

Written in an engaging and straightforward style, and assuming little background in mathematics, the book is

Category Theory for the Sciences The MIT Press

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    A Hardback by David I. Spivak

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      Book details

      Publisher MIT Press
      Published 10 October 2014
      ISBN-13 9780262028134
      978-0262028134
      ISBN-10 0262028131
      Also in:
      Computing Computer science Mathematics Algebra Fuzzy set theory

      Description

      Book Synopsis
      An introduction to category theory as a rigorous, flexible, and coherent modeling language that can be used across the sciences.

      Category theory was invented in the 1940s to unify and synthesize different areas in mathematics, and it has proven remarkably successful in enabling powerful communication between disparate fields and subfields within mathematics. This book shows that category theory can be useful outside of mathematics as a rigorous, flexible, and coherent modeling language throughout the sciences. Information is inherently dynamic; the same ideas can be organized and reorganized in countless ways, and the ability to translate between such organizational structures is becoming increasingly important in the sciences. Category theory offers a unifying framework for information modeling that can facilitate the translation of knowledge between disciplines.

      Written in an engaging and straightforward style, and assuming little background in mathematics, the book is

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