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Bezig met laden... Harnessing Complexity: Organizational Implications of a Scientific Frontier (editie 2000)door Robert Axelrod, Michael D. Cohen
Informatie over het werkHarnessing Complexity: Organizational Implications of a Scientific Frontier door Robert Axelrod
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 Meld je aan bij LibraryThing om erachter te komen of je dit boek goed zult vinden. Op dit moment geen Discussie gesprekken over dit boek.  dcunning11235 | Aug 12, 2023 |    ) MarkLacy | May 29, 2022 |  ) JohnCR437 | Apr 3, 2012 |  ) verber | Sep 5, 2008 |  ) johnclaydon | Jul 16, 2007 | geen besprekingen | voeg een bespreking toe
"Recent advances in the study of complexity have given scientists profound new insights into how natural innovation occurs and how its power can be exploited. Now two pioneers in the field, Robert Axelrod and Michael D. Cohen, provide leaders in business and government with a guide to complexity that will help them make effective decisions in a world of rapid change." "Building on evolutionary biology, computer science, and social design, Axelrod and Cohen have constructed a unique framework for improving the way people work together. Their approach to management is based on the concept of the Complex Adaptive System, which can describe everything from rain forests to the human gene pool, and from automated software agents to multinational companies. The authors' framework reveals three qualities that all kinds of managers must cultivate in their organization."--BOOK JACKET.Title Summary field provided by Blackwell North America, Inc. All Rights Reserved Geen bibliotheekbeschrijvingen gevonden. |
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 Google Books — Bezig met laden...GenresDewey Decimale Classificatie (DDC)658Technology Management and auxiliary services ManagementLC-classificatieWaarderingGemiddelde: (3.6)
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First of all, what this is not: this is not a quantitative description or investigation of complex systems, a book about agent-based modeling, etc. That is more what I was looking for and -for me- earned a -1 on the stars.
As far as what the book is: a qualitative description and partial categorization of complex systems and related ideas (e.g. the 4 to alter behaviors/agent choice/rewards in a complex system.) In this way, it is still a good book (and deserving of maybe 3.5 stars, but Goodreads.) If you wanted to start out building quantitative descriptions yourself, these are the qualitative descriptions you would start with. (