Prentice Hall, 1988. — 263 p. Why should there be a book with such a strange title as this one? Isn't category theory supposed to be a subject in which mathematical structures are analyzed on such a high level of generality that computations are neither desirable nor possible? Historically, category theory arose in algebraic topology as a way to explain in what sense the passages from geometry to algebra in that feld are `natural' in the sense of reflecting underlying geometric reality rather than particular representations in that reality. The success of this endeavor led to many similar studies of geometric and algebraic interrelationships in other parts of mathematics until, at present, there is a large body of work in category theory ranging from purely categorical studies to applications of categorical principles in almost every feld of mathematics. This work has usually been presented in a form that emphasizes its conceptual aspects, so that category theory has come to be viewed as a theory whose purpose is to provide a certain kind of conceptual clarity. What can all of this have to do with computation? The fact of the matter is that category theory is an intensely computational subject, as all its practitioners well know. Categories themselves are the models of an essentially algebraic theory and nearly all the derived concepts are finitary and algorithmic in nature. One of the main virtues of this book is the unrelenting way in which it proceeds from algorithm to algorithm until all of elementary category theory is laid out in precise computational form. This of course cannot be the whole story because there are some deep and important results in category theory that are non-constructive and that cannot therefore be captured by any algorithm. However, for many purposes, the constructive aspects are central to the whole subject.
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The MIT Press, 1991. — 295 p.
Category theory is a mathematical subject whose importance in several areas of computer science, most notably the semantics of programming languages and the design of programmes using abstract data types, is widely acknowledged. This book introduces category theory at a level appropriate for computer scientists and provides practical examples in the...
2nd Ed. — NY.: Oxford University Press (1st published 2006), 2010. — (xvi+311) p. (Oxford Logic Guides. 52 ). — ISBN: 978–0–19–923718–0 (Pbk.), English. Interactive menu. Category theory is a branch of abstract algebra with incredibly diverse applications. This text and reference book is aimed not only at mathematicians, but also researchers and students of computer science,...
Canada.: TAC, 2012 (No. 22), — 538 p., eBook, English. ( Free Published ). [Reprints in Theory and Applications of Categories ( TAC ), No. 22, 2012] Transmitted by Richard Blute, Robert Rosebrugh and Alex Simpson. Reprint published on 2012-09- 19. Canada, Free Publications]. [Reprint with Correction, Original Published: 3rd Ed. (1st publ. 1990; 2nd, 1995). - UK.: Prentice Hall,...
Oxford: Oxford University Press, 2018. — 528 p. Often people have wondered why there is no introductory text on category theory aimed at philosophers working in related areas. The answer is simple: what makes categories interesting and significant is their specific use for specific purposes. These uses and purposes, however, vary over many areas, both "pure", e.g., mathematical,...
Cambridge University Press, Cambridge , 2011, 236p.,
Category theory provides a general conceptual framework that has proved fruitful in subjects as diverse as geometry, topology, theoretical computer science and foundational mathematics. Here is a friendly, easy-to-read textbook that explains the fundamentals at a level suitable for newcomers to the subject. Beginning...
Boston: MIT Press, 2014. — 486 p. 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...