John H. Holland

John H. Holland is Professor of Psychology and Professor of Computer Science and Engineering at the University of Michigan; he is also Trustee and External Professor at the Santa Fe Institute. He is the author of Hidden Order: How Adaptation Builds Complexity and other books.

Books by this Author

An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence
By John H. Holland
Genetic algorithms are playing an increasingly important role in studies of complex adaptive systems, ranging from adaptive agents in economic theory to the use of machine learning techniques in the design of complex devices such as aircraft turbines and integrated circuits. Adaptation in Natural and Artificial Systems is the book that initiated this field of study, presenting the theoretical...
Processes Of Inference
By John H. Holland, Keith J. Holyoak, Richard E. Nisbett, Paul Thagard
Two psychologists, a computer scientist, and a philosopher have collaborated to present a framework for understanding processes of inductive reasoning and learning in organisms and machines. Theirs is the first major effort to bring the ideas of several disciplines to bear on a subject that has been a topic of investigation since the time of Socrates. The result is an integrated account that...
Building Blocks for Complex Adaptive Systems
By John H. Holland
Complex adaptive systems (cas), including ecosystems, governments, biological cells, and markets, are characterized by intricate hierarchical arrangements of boundaries and signals. In ecosystems, for example, niches act as semi-permeable boundaries, and smells and visual patterns serve as signals; governments have departmental hierarchies with memoranda acting as signals; and so it is with other...

Journal Articles by this Author

Evolutionary Computation
Volume 8, Issue 4 (Winter 2000)
By John H. Holland
Evolutionary Computation
Volume 11, Issue 4 (Winter 2003)
By John H. Holland