David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jack Alan Reynolds
Learn more about PhilPapers
Oxford University Press (2009)
What enables individually simple insects like ants to act with such precision and purpose as a group? How do trillions of individual neurons produce something as extraordinarily complex as consciousness? What is it that guides self-organizing structures like the immune system, the World Wide Web, the global economy, and the human genome? These are just a few of the fascinating and elusive questions that the science of <span class='Hi'>complexity</span> seeks to answer. In this remarkably accessible and companionable book, leading complex systems scientist Melanie Mitchell provides an intimate, detailed tour of the sciences of <span class='Hi'>complexity</span>, a broad set of efforts that seek to explain how large-scale complex, organized, and adaptive behavior can emerge from simple interactions among myriad individuals. Comprehending such systems requires a wholly new approach, one that goes beyond traditional scientific reductionism and that re-maps long-standing disciplinary boundaries. Based on her work at the Santa Fe Institute and drawing on its interdisciplinary strategies, Mitchell brings clarity to the workings of <span class='Hi'>complexity</span> across a broad range of biological, technological, and social phenomena, seeking out the general principles or laws that apply to all of them. She explores as well the relationship between <span class='Hi'>complexity</span> and evolution, artificial intelligence, computation, genetics, information processing, and many other fields. Richly illustrated and vividly written, <span class='Hi'>Complexity</span>: A Guided Tour offers a comprehensive and eminently comprehensible overview of the ideas underlying complex systems science, the current research at the forefront of this field, and the prospects for the field's contribution to solving some of the most important scientific questions of our time.
|Categories||categorize this paper)|
|Buy the book||$4.48 used (88% off) $15.99 new (55% off) $28.50 direct from Amazon (19% off) Amazon page|
|Call number||Q175.32.C65.M58 2009|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library|
References found in this work BETA
No references found.
Citations of this work BETA
Ronnie Hawkins (forthcoming). Facing Up to Complexity: Implications for Our Social Experiments. Science and Engineering Ethics:1-40.
Michael A. Riley, Kevin Shockley & Guy van Orden (2012). Learning From the Body About the Mind. Topics in Cognitive Science 4 (1):21-34.
Chris Gyngell (2012). Enhancing the Species: Genetic Engineering Technologies and Human Persistence. Philosophy and Technology 25 (4):495-512.
Andrea Jones-Rooy & Scott E. Page (2012). The Complexity of System Effects. Critical Review 24 (3):313-342.
Carlos Gershenson (2013). The Implications of Interactions for Science and Philosophy. Foundations of Science 18 (4):781-790.
Similar books and articles
Peter Stewart (2001). Complexity Theories, Social Theory, and the Question of Social Complexity. Philosophy of the Social Sciences 31 (3):323-360.
Richard M. Burian (1997). Comments on Complexity and Experimentation in Biology. Philosophy of Science 64 (4):291.
John A. Smith (2006). Qualitative Complexity: Ecology, Cognitive Processes and the Re-Emergence of Structures in Post-Humanist Social Theory. Routledge.
H. P. P. Lotter (1999). The Complexity of Science. Koers 64 (4):499-520.
Claus Emmeche (1997). Aspects of Complexity in Life and Science. Philosophica 59.
Added to index2009-09-15
Total downloads21 ( #154,175 of 1,781,278 )
Recent downloads (6 months)1 ( #295,025 of 1,781,278 )
How can I increase my downloads?