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Foundations of Learning Classifier Systems
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Outgoing claims: the papers this work cites, builds on, or argues with.
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An approach to credit assignment in classifier systems
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Credit assignment and discovery in classifier systems
inferredcites →https://doi.org/10.1007/3-540-45027-0_11openalex-snapshot
Get Real! XCS with Continuous-Valued Inputs
inferredcites →https://doi.org/10.1007/3-540-45712-7_57openalex-snapshot
TCS Learning Classifier System Controller on a Real Robot
inferredcites →https://doi.org/10.1007/3-540-48104-4_8openalex-snapshot
XCS and GALE: A Comparative Study of Two Learning Classifier Systems on Data Mining
inferredcites →https://doi.org/10.1007/3-540-58483-8_3openalex-snapshot
Evolutionary stability in simple classifier systems
inferredcites →https://doi.org/10.1007/3-540-58484-6_272openalex-snapshot
On the complexity of learning in classifier systems
inferredcites →https://doi.org/10.1007/978-0-85729-416-6openalex-snapshot
Strength or Accuracy: Credit Assignment in Learning Classifier Systems
inferredcites →https://doi.org/10.1007/978-1-4471-0427-8_7openalex-snapshot
XCS Classifier System Reliably Evolves Accurate, Complete, and Minimal Representations for Boolean Functions
inferredcites →https://doi.org/10.1007/978-3-540-39925-4_5openalex-snapshot
The Fighter Aircraft LCS: A Real-World, Machine Innovation Application
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Introduction to Evolutionary Computing
inferredcites →https://doi.org/10.1007/bf00058679openalex-snapshot
Classifier Systems and the Animat Problem
inferredcites →https://doi.org/10.1007/bf00113897openalex-snapshot
Learning and Programming in Classifier Systems
inferredcites →https://doi.org/10.1007/s005000100111openalex-snapshot
An algorithmic description of XCS
inferredcites →https://doi.org/10.1016/0004-3702(89)90045-3openalex-snapshot
Introduction:Paradigms for machine learning
inferredcites →https://doi.org/10.1016/0004-3702(89)90050-7openalex-snapshot
Classifier systems and genetic algorithms
inferredcites →https://doi.org/10.1016/0167-2789(86)90301-4openalex-snapshot
A Mathematical Framework for Studying Learning in Classifier Systems
inferredcites →https://doi.org/10.1016/0167-2789(90)90074-yopenalex-snapshot
Learning and bucket brigade dynamics in classifier systems
inferredcites →https://doi.org/10.1016/0167-2789(90)90075-zopenalex-snapshot
Emergent behavior in classifier systems
inferredcites →https://doi.org/10.1016/b978-0-08-050684-5.50011-2openalex-snapshot
Representing Attribute-Based Concepts in a Classifier System
inferredcites →https://doi.org/10.1016/b978-0-08-050684-5.50012-4openalex-snapshot
Quasimorphisms or Queasymorphisms? Modeling Finite Automaton Environments
inferredcites →https://doi.org/10.1016/b978-0-08-050684-5.50013-6openalex-snapshot
Variable Default Hierarchy Separation in a Classifier System
inferredcites →https://doi.org/10.1016/b978-1-55860-141-3.50022-5openalex-snapshot
NEWBOOLE: A Fast GBML System
inferredcites →https://doi.org/10.1109/mex.1987.4307100openalex-snapshot
Induction: Processes of Inference, Learning, and Discovery
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Some Studies in Machine Learning Using the Game of Checkers
inferredcites →https://doi.org/10.1162/evco.1994.2.1.1openalex-snapshot
ZCS: A Zeroth Level Classifier System
inferredcites →https://doi.org/10.1162/evco.1994.2.1.37openalex-snapshot
Implicit Niching in a Learning Classifier System: Nature's Way
inferredcites →https://doi.org/10.1162/evco.1995.3.2.149openalex-snapshot
Classifier Fitness Based on Accuracy
inferredcites →https://doi.org/10.1162/evco.1996.4.2.133openalex-snapshot
Analysis of Selection Algorithms: A Markov Chain Approach
inferredcites →https://doi.org/10.1162/evco.1999.7.2.125openalex-snapshot
An Analysis of Generalization in the XCS Classifier System
inferredcites →https://doi.org/10.1177/105971239400300201openalex-snapshot
Adding Temporary Memory to ZCS
inferredcites →https://doi.org/10.7551/mitpress/1090.001.0001openalex-snapshot
Adaptation in Natural and Artificial Systems
inferredcites →https://doi.org/10.7551/mitpress/3120.003.0049openalex-snapshot
Self-Adaptive Mutation in Classifier System Controllers
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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SOMA — Self-Organizing Migrating Algorithm
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Adaptive Value Function Approximations in Classifier Systems
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Learning Classifier Systems in Data Mining: An Introduction
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Distributed Learning Classifier Systems
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Learning Classifier Systems: Looking Back and Glimpsing Ahead
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On Dynamical Genetic Programming: Random Boolean Networks in Learning Classifier Systems
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CoXCS: A Coevolutionary Learning Classifier Based on Feature Space Partitioning
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Evolutionary Algorithms for Chaos Researchers
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Robot Formations for Area Coverage
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On the Characteristics of Sequential Decision Problems and Their Impact on Evolutionary Computation and Reinforcement Learning
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Robot Reinforcement Learning Based on Learning Classifier System
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Memory-Based Cognitive Framework: A Low-Level Association Approach to Cognitive Architectures
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Towards a Mapping of Modern AIS and LCS
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Model Driven Classifier Evaluation in Rule-Based System
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Fluid Construction Grammar in the Brain
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Co-evolution of lexical and syntactic classifiers during a language game
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Learning complex, overlapping and niche imbalance Boolean problems using XCS-based classifier systems
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An evolutionary cognitive architecture made of a bag of networks
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A brief history of learning classifier systems: from CS-1 to XCS and its variants
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Learning Classifier Systems: The Rise of Genetics-Based Machine Learning in Biomedical Data Mining
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Using IDS fitted Q to develop a real-time adaptive controller for dynamic resource provisioning in Cloud's virtualized environment
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Learning Classifier Systems for Road Traffic Congestion Detection
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