Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Intelligence through simulated evolution: forty years of evolutionary programming
Intelligence through simulated evolution: forty years of evolutionary programming
A learning system based on genetic adaptive algorithms
A learning system based on genetic adaptive algorithms
Evolution of Multi-adaptive Discretization Intervals for a Rule-Based Genetic Learning System
IBERAMIA 2002 Proceedings of the 8th Ibero-American Conference on AI: Advances in Artificial Intelligence
A Learning Classifier Systems Bibliography
Learning Classifier Systems, From Foundations to Applications
Learning Classifier Systems Meet Multiagent Environments
IWLCS '00 Revised Papers from the Third International Workshop on Advances in Learning Classifier Systems
A Bigger Learning Classifier Systems Bibliography
IWLCS '00 Revised Papers from the Third International Workshop on Advances in Learning Classifier Systems
Two Views of Classifier Systems
IWLCS '01 Revised Papers from the 4th International Workshop on Advances in Learning Classifier Systems
Evolving Behaviors for Cooperating Agents
ISMIS '00 Proceedings of the 12th International Symposium on Foundations of Intelligent Systems
CCIA '02 Proceedings of the 5th Catalonian Conference on AI: Topics in Artificial Intelligence
XCS and GALE: A Comparative Study of Two Learning Classifier Systems on Data Mining
IWLCS '01 Revised Papers from the 4th International Workshop on Advances in Learning Classifier Systems
A hierarchy of evolution programs: An experimental study
Evolutionary Computation
Search-intensive concept induction
Evolutionary Computation
Introduction to the special issue: Trends in evolutionary methods for program induction
Evolutionary Computation
Putting more genetics into genetic algorithms
Evolutionary Computation
Real-Valued LCS Using UNDX for Technology Extraction
KES '08 Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part II
Learning Classifier Systems: Looking Back and Glimpsing Ahead
Learning Classifier Systems
Technology Extraction of Expert Operator Skills from Process Time Series Data
Learning Classifier Systems
Grammar-Based Immune Programming for Symbolic Regression
ICARIS '09 Proceedings of the 8th International Conference on Artificial Immune Systems
Classification rule discovery with DE/QDE algorithm
Expert Systems with Applications: An International Journal
Knowledge discovery with classification rules in a cardiovascular dataset
Computer Methods and Programs in Biomedicine
IWLCS'03-05 Proceedings of the 2003-2005 international conference on Learning classifier systems
A genetic algorithms approach to ILP
ILP'02 Proceedings of the 12th international conference on Inductive logic programming
COGIN: symbolic induction with genetic algorithms
AAAI'92 Proceedings of the tenth national conference on Artificial intelligence
A new method to find developmental descriptions for digital circuits
ICES'10 Proceedings of the 9th international conference on Evolvable systems: from biology to hardware
IEEE Transactions on Evolutionary Computation
A granular agent evolutionary algorithm for classification
Applied Soft Computing
Grammar-based immune programming
Natural Computing: an international journal
reCORE --- a coevolutionary algorithm for rule extraction
SIDE'12 Proceedings of the 2012 international conference on Swarm and Evolutionary Computation
Learning Classification Programs: The Genetic Algorithm Approach
Fundamenta Informaticae
A Historical Perspective on the Evolution of Executable Structures
Fundamenta Informaticae
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Noting that the methods employed by existing learning systems are often bound to the intended task domain and have little applicability outside that domain, this paper considers an alternative learning system design that offers greater flexibility without sacrificing performance. An operational prototype, constructed around a powerful adaptive search technique, is presented and applied to the problem of acquiring problem solving heuristics through experience. Some performance results obtained with the system in a poker betting domain are reported and compared with those of a previously investigated learning system in the same domain. It is seen that comparable levels of performance are achieved by the two systems, despite the latter's dependence on a considerable amount of domain specific knowledge for effective operation.