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Herbert A. Simon

Herbert Simon is Professor of Psychology at Carnegie-Mellon University. He was awarded the Nobel Prize in economics in 1978.

Titles by This Author

Emperically Grounded Economic Reason

Throughout Herbert Simon's wide-ranging career—in public administration, business administration, economics, cognitive psychology, philosophy, artificial intelligence, and computer science—his central aim has been to explain the nature of the thought processes that people use in making decisions.

In this candid and witty autobiography, Nobel laureate Herbert A. Simon looks at his distinguished and varied career, continually asking himself whether (and how) what he learned as a scientist helps to explain other aspects of his life.

Continuing his exploration of the organization of complexity and the science of design, this new edition of Herbert Simon's classic work on artificial intelligence adds a chapter that sorts out the current themes and tools—chaos, adaptive systems, genetic algorithms—for analyzing complexity and complex systems. There are updates throughout the book as well.

Verbal Reports as Data

Since the publication of Ericsson and Simon's ground-breaking work in the early 1980s, verbal data has been used increasingly to study cognitive processes in many areas of psychology, and concurrent and retrospective verbal reports are now generally accepted as important sources of data on subjects' cognitive processes in specific tasks.

Computational Explorations of the Creative Process

Scientific discovery is often regarded as romantic and creative—and hence unanalyzable—whereas the everyday process of verifying discoveries is sober and more suited to analysis. Yet this fascinating exploration of how scientific work proceeds argues that however sudden the moment of discovery may seem, the discovery process can be described and modeled.

Economic Analysis and Public Policy

The Nobel Prize in Economics was awarded to Herbert Simon in 1978. At Carnegie-Mellon University he holds the title of Professor of Computer Science and Psychology.

A set of related papers dealing with the meaning of causality in simulataneous dynamic equation systems. Investigation of the systems which only approximately satisfy the conditions enabling the definition of causality, leads to a set of limiting theorems concerning the dynamic behavior of such systems over time, and estimation procedures for the parameters of such systems. Implications of these theorems for some well-known propositions in economics and other social sciences are considered.