Science's First Mistake: Delusions in Pursuit of Theory

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Bloomsbury Academic, Oct 15, 2010 - Science - 256 pages
This text deconstructs the process of knowledge discovery and theory construction. Grounded in the tradition of second-order cybernetics, the concept of self-reference is used in the context of systems theory in order to examine the mode in which observation, paradox and delusion become "structurally coupled" with cognition.  To put this simply, physical scientists take it as a given that all the universe is explainable once we've discovered the underlying rules. Whereas social scientists and philosophers are more sensitive to the issues around how the observer actually impacts that which is being observed.  The authors work in the fields of Information Studies, which is within the technical or physical realm, and Management Studies, which is about human behavior. Their argument is that all scientists (physical and social) rely too much on the absolutism and certainty of the methods of traditional physical science and that we should acknowledge the limitations of how we know what we know. Rooted in information systems analysis this fresh and audacious examination of knowledge discovery and theory construction makes an important contribution to the understanding of how we employ scientific method.

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Differentiation of Science
Higherorder Observations
Asymmetry and Selfreference

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About the author (2010)

Ian Angell is Professor of Information Systems in the Department of Management at the London School of Economics. His research interests include organizational and national IT policies, strategic information systems, computer security and systemic risk. He has written fourteen books, including The New Barbarian Manifesto (2000), and over a hundred research papers.

Dionysios Demetis is a Research Associate at London School of Economics and Political Science. His research interests include anti-money-laundering schemes and related technologies in the banking sector, systems theory, computer security and the global consequences of information systems.

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