A Rosetta stone for connectionism
CNLS '89 Proceedings of the ninth annual international conference of the Center for Nonlinear Studies on Self-organizing, Collective, and Cooperative Phenomena in Natural and Artificial Computing Networks on Emergent computation
Learning using an artificial immune system
Journal of Network and Computer Applications - Special issue on intelligent systems: design and applications. Part 2
Evolutionary Computation
Triggered Rule Discovery in Classifier Systems
Proceedings of the 3rd International Conference on Genetic Algorithms
Get Real! XCS with Continuous-Valued Inputs
Learning Classifier Systems, From Foundations to Applications
An Algorithmic Description of ACS2
IWLCS '01 Revised Papers from the 4th International Workshop on Advances in Learning Classifier Systems
IWLCS '01 Revised Papers from the 4th International Workshop on Advances in Learning Classifier Systems
For real! XCS with continuous-valued inputs
Evolutionary Computation
Applications of Learning Classifier Systems
Applications of Learning Classifier Systems
Architecture for an Artificial Immune System
Evolutionary Computation
A Learning Classifier System Approach to Clustering
ISDA '06 Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications - Volume 01
Using genetic algorithms to explore pattern recognition in the immune system
Evolutionary Computation
Memory exploitation in learning classifier systems
Evolutionary Computation
Classifier fitness based on accuracy
Evolutionary Computation
Design and Analysis of Learning Classifier Systems: A Probabilistic Approach (Studies in Computational Intelligence)
Learning Classifier Systems in Data Mining
Learning Classifier Systems in Data Mining
Clustering
Adaptive radius immune algorithm for data clustering
ICARIS'05 Proceedings of the 4th international conference on Artificial Immune Systems
Learning and optimization using the clonal selection principle
IEEE Transactions on Evolutionary Computation
Toward a theory of generalization and learning in XCS
IEEE Transactions on Evolutionary Computation
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For many years correlations between aspects of Artificial Immune Systems (AIS) and Learning Classifier Systems (LCS) have been highlighted. However, neither field appears to have benefitted from such work not least since the differences between the two approaches have far outweighed the similarities. More recently, a form of LCS has been presented for unsupervised learning which, with hindsight, may be viewed as a form of AIS. This paper aims to bring the aforementioned LCS to the attention of the AIS community with the aim of serving as a catalyst for the sharing of ideas and mechanisms between the two fields to mutual benefit.