John Holland, a pioneer in the study of complex adaptive systems and the leading figure in what became known as genetic algorithms, passed away Sunday morning in Ann Arbor, Michigan.
He was a Santa Fe Institute professor and external professor for many years and, at the time of his passing, a member of the Institute's Board of Trustees and Science Board.
Holland, 86, a longtime professor of computer science and engineering and professor of psychology at the University of Michigan (where he founded and led the Center for the Study of Complex Systems), had been interested for six decades in what are now called complex adaptive systems, starting with his early work at IBM in the 1950s on computer simulations of Hebb’s theory of cell assemblies.
He formulated genetic algorithms, classifier systems, and the Echo models as tools for studying the dynamics of such systems.
In 1975, Holland published the groundbreaking book Adaptation in Natural and Artificial Systems, which has been cited more than 50,000 times and has been published in several languages. Intended to be the foundation for a general theory of adaptation, this book introduced genetic algorithms as a mathematical idealization that Holland used to develop his theory of schemata in adaptive systems. Later, genetic algorithms became widely used as an optimization and search method in computer science. Most optimization textbooks now include a chapter on such evolutionary algorithms, and his insights led to the field of evolutionary computation.
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He was a Santa Fe Institute professor and external professor for many years and, at the time of his passing, a member of the Institute's Board of Trustees and Science Board.
Holland, 86, a longtime professor of computer science and engineering and professor of psychology at the University of Michigan (where he founded and led the Center for the Study of Complex Systems), had been interested for six decades in what are now called complex adaptive systems, starting with his early work at IBM in the 1950s on computer simulations of Hebb’s theory of cell assemblies.
He formulated genetic algorithms, classifier systems, and the Echo models as tools for studying the dynamics of such systems.
In 1975, Holland published the groundbreaking book Adaptation in Natural and Artificial Systems, which has been cited more than 50,000 times and has been published in several languages. Intended to be the foundation for a general theory of adaptation, this book introduced genetic algorithms as a mathematical idealization that Holland used to develop his theory of schemata in adaptive systems. Later, genetic algorithms became widely used as an optimization and search method in computer science. Most optimization textbooks now include a chapter on such evolutionary algorithms, and his insights led to the field of evolutionary computation.
- More Here
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