1992 - Fellow of the MacArthur Foundation
His scientific interests lie mostly in Artificial intelligence, Complex adaptive system, Machine learning, Adaptation and Adaptive system. His research on Artificial intelligence often connects related areas such as Learning classifier system. His Complex adaptive system research is multidisciplinary, relying on both Complex system, Research program and Data science.
His work in the fields of Machine learning, such as Genetic programming, Computational learning theory and Instance-based learning, intersects with other areas such as Hidden order and Hyper-heuristic. His Adaptation study spans across into areas like Natural, Artificial creation, Artificial development, Evolutionary programming and Effective fitness. His Adaptive system study incorporates themes from Local optimum, Mathematical theory, Stochastic game and Logical theory.
John H. Holland mainly investigates Artificial intelligence, Machine learning, Classifier, Theoretical computer science and Algorithm. His study on Complex adaptive system and Adaptive system is often connected to Adaptation as part of broader study in Artificial intelligence. His Complex adaptive system research incorporates themes from Complex system, Research program, Coevolution and Data science.
His biological study spans a wide range of topics, including Control engineering and Logical theory. His Learning classifier system study in the realm of Machine learning connects with subjects such as Condition part. His research in Algorithm focuses on subjects like Function, which are connected to Hyperplane, Genetic algorithm and Hill climbing.
The scientist’s investigation covers issues in Complex adaptive system, Social science, Artificial intelligence, Disease registry and Population health. John H. Holland has researched Complex adaptive system in several fields, including Computational linguistics, Language acquisition and Lexicon. His work carried out in the field of Social science brings together such families of science as Evolutionary computation and Management science.
The concepts of his Artificial intelligence study are interwoven with issues in Theoretical computer science and Reading. The Theoretical computer science study combines topics in areas such as Complex system and Emulation. His Population health research includes themes of Intervention and Family medicine.
John H. Holland spends much of his time researching Complex adaptive system, Artificial intelligence, Theoretical computer science, Developmental linguistics and Decade of the Brain. Complex adaptive system is intertwined with Boundary, Key and Adaptation in his research. His research in Artificial intelligence intersects with topics in Path and Simple.
His study in Theoretical computer science is interdisciplinary in nature, drawing from both Complex system and Reading. You can notice a mix of various disciplines of study, such as Computational linguistics, Language acquisition, Lexicon, Cognitive science and Interlanguage, in his Developmental linguistics studies. Social science, Theory of mind, OpenURL, Consciousness and Obligation are fields of study that overlap with his Decade of the Brain research.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Adaptation in natural and artificial systems
John H. Holland.
(1975)
Adaptation in natural and artificial systems
John H. Holland.
(1975)
Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control and Artificial Intelligence
John H. Holland.
Ann Arbor: University of Michigan Press (1992)
Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control and Artificial Intelligence
John H. Holland.
Ann Arbor: University of Michigan Press (1992)
Hidden Order: How Adaptation Builds Complexity
John H. Holland.
(1995)
Hidden Order: How Adaptation Builds Complexity
John H. Holland.
(1995)
Emergence: From Chaos to Order
John H. Holland.
(1998)
Induction: Processes of Inference, Learning, and Discovery
John H. Holland;Keith J. Holyoak;Richard E. Nisbett;Paul R. Thagard.
Behaviorism (1988)
Induction: Processes of Inference, Learning, and Discovery
John H. Holland;Keith J. Holyoak;Richard E. Nisbett;Paul R. Thagard.
(1989)
Induction: Processes of Inference, Learning, and Discovery
John H. Holland;Keith J. Holyoak;Richard E. Nisbett;Paul R. Thagard.
(1989)
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