Learning Classifier Systems

We asked “What is a Learning Classifier System” to some of the best-known researchers in the field. These are their answers.

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[2]  Stewart W. Wilson State of XCS Classifier System Research , 1999, Learning Classifier Systems.

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[31]  Marco Colombetti,et al.  Robot shaping: developing situated agents through learning , 1992 .

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[33]  Filippo Neri,et al.  Exploring the Power of Genetic Search in Learning Symbolic Classifiers , 1996, IEEE Trans. Pattern Anal. Mach. Intell..

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[42]  Cédric Sanza,et al.  LEARNING IN REAL-TIME ENVIRONMENT BASED ON CLASSIFIER SYSTEMS , 1999 .

[43]  Marco Dorigo,et al.  Genetics-based machine learning and behavior-based robotics: a new synthesis , 1993, IEEE Trans. Syst. Man Cybern..

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[49]  Marco Dorigo,et al.  A Parallel Environment for Learning Systems , 1991 .

[50]  Stewart W. Wilson Quasi-Darwinian Learning in a Classifier System , 1987 .

[51]  Marco Dorigo,et al.  Gli Algoritmi Genetici, i Sistemi a Classificatori e il Problema dell'Animat , 1993 .

[52]  Wolfgang Stolzmann Learning Classifier Systems using the Cognitive Mechanism of Anticipatory Behavioral Control , 1996 .

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[57]  Wentian Li,et al.  Transition phenomena in cellular automata rule space , 1991 .

[58]  Robert E. Smith,et al.  Classifier systems in combat: two-sided learning of maneuvers for advanced fighter aircraft , 2000 .

[59]  Marco Colombetti,et al.  Reply to Dario Floreano's "Engineering Adaptive Behavior" , 1997, Adapt. Behav..

[60]  Sandip Sen,et al.  Multiagent Coordination with Learning Classifier Systems , 1995, Adaption and Learning in Multi-Agent Systems.

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[69]  Pier Luca Lanzi Adding memory to XCS , 1998, 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360).

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[71]  T. H. Westerdale An approach to credit assignment in classifier systems , 1998 .

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[74]  David E. Goldberg,et al.  Toward a Control Map for Niching , 1998, FOGA.

[75]  George G. Robertson,et al.  Population Size in classifier Systems , 1988, ML.

[76]  Marco Dorigo New Perspectives about Default Hierarchies Formation in Learning Classifier Systems , 1991, AI*IA.

[77]  Kenneth A. De Jong,et al.  Using genetic algorithms for supervised concept learning , 1990, [1990] Proceedings of the 2nd International IEEE Conference on Tools for Artificial Intelligence.

[78]  Stewart W. Wilson Bid Competition and Specificity Reconsidered , 1988, Complex Syst..

[79]  Alan S. Perelson,et al.  Searching for Diverse, Cooperative Populations with Genetic Algorithms , 1993, Evolutionary Computation.

[80]  John J. Grefenstette,et al.  Improving tactical plans with genetic algorithms , 1990, [1990] Proceedings of the 2nd International IEEE Conference on Tools for Artificial Intelligence.

[81]  Pier Luca Lanzi,et al.  An Analysis of Generalization in the XCS Classifier System , 1999, Evolutionary Computation.

[82]  Stephanie Forrest,et al.  A Study of Parallelism in the Classifier System and Its Application to Classification in Kl-One Semantic Networks (Artificial Intelligence, Fine-Grained) , 1985 .

[83]  Larry Bull,et al.  On Evolving Social Systems: Communication, Speciation and Symbiogenesis , 1999, Comput. Math. Organ. Theory.

[84]  Wolfgang Stolzmann Antizipative classifier systems , 1997 .

[85]  S. D. Sheppard,et al.  TWO-DIMENSIONAL STRUCTURAL COMPONENT SHAPE IMPROVEMENT VIA CLASSIFIER SYSTEM , 1992 .

[86]  Larry Bull,et al.  A Corporate Classifier System , 1998, PPSN.

[87]  Lawrence Bull Artificial symbiology : evolution in cooperative multi-agent environments , 1995 .

[88]  Stephen Wolfram,et al.  Universality and complexity in cellular automata , 1983 .

[89]  David E. Goldberg,et al.  Reinforcement learning with classifier systems: Adaptive default hierarchy formation , 1992, Appl. Artif. Intell..

[90]  Marco Dorigo,et al.  Optimization, Learning and Natural Algorithms , 1992 .

[91]  Steven E. Phelan,et al.  USING ARTIFICIAL ADAPTIVE AGENTS TO EXPLORE STRATEGIC LANDSCAPES , 1997 .

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[93]  R. Palmer,et al.  Time series properties of an artificial stock market , 1999 .

[94]  Marco Colombetti,et al.  Robot shaping: The Hamster Experiment , 1996 .

[95]  Andrew Whinston,et al.  Applying Adaptive Credit Assignment Algorithm for the Learning Classifier System Based upon the Genetic Algorithm , 1992 .

[96]  Stewart W. Wilson Classifier Fitness Based on Accuracy , 1995, Evolutionary Computation.

[97]  Robert E. Smith,et al.  Is a Learning Classifier System a Type of Neural Network? , 1994, Evolutionary Computation.

[98]  Marco Colombetti,et al.  Robot Shaping: Developing Autonomous Agents Through Learning , 1994, Artif. Intell..

[99]  Andreas Geyer-Schulz,et al.  Fuzzy Rule-Based Expert Systems and Genetic Machine Learning , 1996 .

[100]  David E. Goldberg,et al.  Implicit Niching in a Learning Classifier System: Nature's Way , 1994, Evolutionary Computation.

[101]  Marco Dorigo,et al.  Genetic and Non-Genetic Operators in ALECSYS , 1993, Evolutionary Computation.

[102]  Stephanie Forrest,et al.  Parallelism and programming in classifier systems , 1990 .

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[105]  John H. Holland,et al.  Genetic Algorithms and Adaptation , 1984 .

[106]  Dipankar Dasgupta,et al.  Metacognition in Software Agents Using Classifier Systems , 1998, AAAI/IAAI.

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[116]  Will N. Browne,et al.  The implementation of a learning classifier system for parameter identification by signal processing of data from steel strip downcoilers , 1996 .

[117]  Piet Spiessens,et al.  PCS: A Classifier System that Builds a Predictive Internal World Model , 1990, ECAI.

[118]  Dan Boneh,et al.  On genetic algorithms , 1995, COLT '95.

[119]  Uwe Hartmann On the Complexity of Learning in Classifier Systems , 1994, PPSN.

[120]  Stewart W. Wilson ZCS: A Zeroth Level Classifier System , 1994, Evolutionary Computation.

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[124]  Hayong Harry Zhou,et al.  CSM: A computational model of cumulative learning , 2004, Machine Learning.

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[127]  Johann Mitlöhner Classifier systems and economic modeling , 1996 .

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[129]  Dijia Huang,et al.  A framework for the credit-apportionment process in rule-based systems , 1989, IEEE Trans. Syst. Man Cybern..

[130]  David E. Goldberg,et al.  What Makes a Problem Hard for a Classifier System , 1992 .

[131]  K. Holyoak,et al.  A Theory of Conditioning: Inductive Learning within Rule-Based Default Hierarchies. , 1989 .

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[135]  Jörg Biethahn,et al.  Determining a Good Inventory Policy with a Genetic Algorithm , 1995 .

[136]  Antonina Starita,et al.  Q-Learning and Redundancy Reduction in Classifier Systems with Internal State , 1998, ECML.

[137]  Stewart W. Wilson The Genetic Algorithm and Simulated Evolution , 1987, ALIFE.

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[146]  Stewart W. Wilson,et al.  Toward Optimal Classifier System Performance in Non-Markov Environments , 2000, Evolutionary Computation.

[147]  Stephen F. Smith,et al.  Using Coverage as a Model Building Constraint in Learning Classifier Systems , 1994, Evolutionary Computation.

[148]  Sandip Sen,et al.  Modeling Human Categorization By a Simple Classifier System , 1996 .

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[152]  Filippo Neri,et al.  Search-Intensive Concept Induction , 1995, Evolutionary Computation.

[153]  Stewart W. Wilson Get Real! XCS with Continuous-Valued Inputs , 1999, Learning Classifier Systems.

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[168]  Robert E. Smith,et al.  Memory Exploitation in Learning Classifier Systems , 1994, Evolutionary Computation.

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[171]  Stewart W. Wilson Hierarchical Credit Allocation in a Classifier System , 1987, IJCAI.

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[173]  Sandip Sen,et al.  A tale of two representations , 1994, IEA/AIE '94.

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[181]  Andreas Schachtner,et al.  A Classifier System with Integrated Genetic Operators , 1990, PPSN.

[182]  T. Kovacs XCS Classifier System Reliably Evolves Accurate, Complete, and Minimal Representations for Boolean Functions , 1998 .

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[184]  T.C. Fogarty,et al.  A delayed-action classifier system for learning in temporal environments , 1994, Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence.

[185]  Cédric Sanza,et al.  Evolution of Autonomous Actors in an Interactive Real-Time Environment , 1999 .

[186]  Alistair Munro,et al.  Artificial evolution of fuzzy rule bases which represent time: A temporal fuzzy classifier system , 1998, Int. J. Intell. Syst..

[187]  Stewart W. Wilson Knowledge Growth in an Artificial Animal , 1985, ICGA.

[188]  Robert A. Richards,et al.  A Learning Classifier System for Three-Dimensional Shape Optimization , 1996, PPSN.

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