Stephanie Forrest
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Abstract
John H. Holland's general theories of adaptive processes apply across biological, cognitive, social, and computational systems.
- Arthur, W.B. Holland, J.H., LeBaron, B.D., Palmer, R.G., and Tayler, P. Asset pricing under endogenous expectations in an artificial stock market. In The Economy As an Evolving Complex System II, W.B. Arthur, S. Durlauf, and D. Lane, Eds. Addison-Wesley, Reading, MA, 1997.Google Scholar
- Ashby, W.R. An Introduction to Cybernetics. Chapman & Hall, London, 1956.Google ScholarCross Ref
- Bellman, R.E. Adaptive Control Processes: A Guided Tour. Princeton University Press, Princeton, NJ, 1961.Google Scholar
- Booker, L.B., Goldberg, D.E., and Holland, J.H. Classifier systems and genetic algorithms. Artificial Intelligence 40, 1--3 (1989), 235--282. Google ScholarDigital Library
- Christiansen, F.B. and Feldman, M.W. Algorithms, genetics, and populations: The schemata theorem revisited. Complexity 3, 3 (1998), 57--64. Google ScholarDigital Library
- Dennett, D.C. Elbow Room: The Varieties of Free Will Worth Wanting. MIT Press, Cambridge, MA, 1984.Google Scholar
- Eddington, A. The Nature of the Physical World: Gifford Lectures, 1927. Cambridge University Press, Cambridge, U.K., 1927.Google Scholar
- Fisher, R.A. The Genetical Theory of Natural Selection: A Complete Variorum Edition. Oxford University Press, Oxford, U.K., 1930.Google Scholar
- Goldberg, D.E. Computer-Aided Gas Pipeline Operation Using Genetic Algorithms and Rule Learning. Ph.D. Dissertation, University of Michigan, Ann Arbor, MI, 1983; http://www.worldcat.org/title/computer-aided-gas-pipeline-operation-using-genetic-algorithms-and-rule-learning/oclc/70390568Google Scholar
- Holland, J.H. Outline for a logical theory of adaptive systems. Journal of the ACM 9, 3 (1962), 297--314. Google ScholarDigital Library
- Holland, J.H. Genetic algorithms and the optimal allocation of trials. SIAM Journal on Computing 2, 2 (1973), 88--105.Google ScholarCross Ref
- Holland, J.H. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence. University of Michigan Press, Ann Arbor, MI, 1975.Google ScholarDigital Library
- Holland, J.H. Escaping brittleness: The possibilities of general-purpose learning algorithms applied to parallel rule-based systems. In Machine Learning: An Artificial Intelligence Approach, Volume 2, R.S. Michalski, J.G. Carbonell, and T.M. Mitchell, Eds. Morgan-Kaufman, San Francisco, CA, 1986, 593--623.Google Scholar
- Holland, J.H. Induction: Processes of Inference, Learning, and Discovery. MIT Press, Cambridge, MA, 1989. Google ScholarDigital Library
- Holland, J.H. Genetic algorithms. Scientific American 267 (July 1992), 44--50.Google ScholarCross Ref
- Holland, J.H. Hidden Order: How Adaptation Builds Complexity. Perseus Books, New York, 1995. Google ScholarDigital Library
- Holland, J.H. Echoing emergence: Objectives, rough definitions, and speculations for Echo-class models. In Complexity: Metaphor, Models, and Reality, G.A. Cowen, D. Pines, and D. Meltzer, Eds. Perseus Books, New York, 1999, 309--342. Google ScholarDigital Library
- Holland, J.H. Emergence: From Chaos to Order. Oxford University Press, Oxford, U.K., 2000. Google ScholarDigital Library
- Holland, J.H. Signals and Boundaries: Building Blocks for Complex Adaptive Systems. MIT Press, Cambridge, MA, 2012. Google ScholarDigital Library
- Holland, J.H. Complexity: A Very Short Introduction. Oxford University Press, Oxford, U.K., 2014.Google Scholar
- Holland, J.H. and Reitman, J.S. Cognitive systems based on adaptive algorithms. ACM SIGART Bulletin 63 (June 1977), 49. Google ScholarDigital Library
- Hraber, P.T., Jones, T., and Forrest, S. The ecology of Echo. Artificial Life 3, 3 (1997), 165--190. Google ScholarDigital Library
- London, R.L. Who Earned First Computer Science Ph.D.? blog@cacm (Jan. 15, 2013); http://cacm.acm.org/blogs/blog-cacm/159591-who-earned-first-computer-science-phd/fulltextGoogle Scholar
- Palmer, R.G., Arthur, W.B., Holland, J.H., LeBaron, B., and Tayler, P. Artificial economic life: A simple model of a stock market. Physica D: Nonlinear Phenomena 75, 1--3 (1994), 264--274. Google ScholarDigital Library
- Rochester, N., Holland, J.H., Haibt, L.H., and Duda, W. Tests on a cell assembly theory of the action of the brain, using a large digital computer. IRE Transactions on Information Theory 2, 3 (1956), 80--93.Google Scholar
- Samuel, A.L. Some studies in machine learning using the game of checkers. IBM Journal of Research and Development 3, 3 (1959), 210--229. Google ScholarDigital Library
- Smith, S.F. A Learning System Based on Genetic Adaptive Algorithms. Ph.D. Dissertation, University of Pittsburgh, Pittsburgh, PA, 1980. Google ScholarDigital Library
- Sutton, A.G. and Barto, R.S. Time derivative models of Pavlovian reinforcement. In Learning and Computational Neuroscience: Foundations of Adaptive Networks, M. Gabriel and J. Moore, Eds. MIT Press, Cambridge, MA, 1990, 497--537.Google Scholar
- Waldrop, M.M. Complexity: The Emerging Science at the Edge of Order and Chaos. Simon and Schuster, New York, 1993.Google Scholar
- Ziegler, B. Theory of Modeling and Simulation. Wiley Interscience, New York, 1976.Google Scholar
Index Terms
- Adaptive computation: the multidisciplinary legacy of John H. Holland
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Appreciation to Referees
On behalf of the Editorial Board, I would like to thank the following people, who acted as Referees during the past year. Editor-in-Chief Adomavicius, Gediminas, New York University Fletcher, Roger, University of Dundee, Scotland Aggarwal, Charu C., ...
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