Machine Dreams Economics Becomes a Cyborg Science

EBook Description: This is the first cross-over book in the history of science written by an historian of economics, combining a number of disciplinary and stylistic orientations. In it Philip Mirowshki shows how what is conventionally thought to be "history of technology" can be integrated with the history of economic ideas. His analysis combines Cold War history with the history of the postwar economics profession in America and later elsewhere, revealing that the Pax Americana had much to do with the content of such abstruse and formal doctrines such as linear programming and game theory. He links the literature on "cyborg science" found in science studies to economics, an element missing in the literature to date. Mirowski further calls into question the idea that economics has been immune to postmodern currents found in the larger culture, arguing that neoclassical economics has surreptitiously participated in the desconstruction of the integral "Self." Finally, he argues for a different style of economics, an alliance of computational and institutional themes, and challenges the widespread impression that there is nothing else besides American neoclassical economic theory left standing after the demise of Marxism. Philip Mirowski is Carl Koch Professor of Economics and the History and Philosophy of Science, University of Notre Dame. He teaches in both the economics and science studies communities and has written frequently for academic journals. He is also the author of More Heat than Light (Cambridge, 1992) and editor of Natural Images in Economics (Cambridge, 1994) and Science Bought and Sold (University of Chicago, 2001).

The first comprehensive book on the emerging field of network science, Network Science: Theory and Applications is an exhaustive review of terms, ideas, and practices in the various areas of network science. In addition to introducing theory and application in easy-to-understand, topical chapters, this book describes the historical evolution of network science through the use of illustrations, tables, practice problems with solutions, case studies, and applications to related Java software. Researchers, professionals, and technicians in engineering, computing, and biology will benefit from this overview of new concepts in network science.

Encyclopedia of Information Science and Technology

As research advances in computing technology continue to accelerate, so too do the emerging opportunities, issues, and challenges facing individuals, organizations, and societies concerning the utilization and management of technology. This change-driven environment creates a critical need for a comprehensive, up-to-date reference to the full range of concepts, issues, methods, technologies, and trends associated with the field.

Python Scripting for Computational Science, 3rd Edition (2010)

With a primary focus on examples and applications of relevance to computational scientists, this brilliantly useful book shows computational scientists how to develop tailored, flexible, and human-efficient working environments built from small scripts written in the easy-to-learn, high-level Python language. All the tools and examples in this book are open source codes. This third edition features lots of new material. It is also released after a comprehensive reorganization of the text. The author has inserted improved examples and tools and updated information, as well as correcting any errors that crept in to the first imprint.

An Introduction to Management Science: Quantitative Approaches to Decision Making

Description: This text focuses on using simple, straightforward explanations and examples with step-by-step details of the modeling and solution techniques to make these mathematical topics less complex.

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