1. Booker, L.B.: Representing Attribute-Based Concepts in a Classifier System. In: Rawlins, G.J.E. (ed.) Foundations of Genetic Algorithms, pp. 115–127. Elsevier, Amsterdam (1991)
2. Browne, W.N., Ioannides, C.: Investigating Scaling of an Abstracted LCS Utilising Ternary and S-Expression Alphabets. In: Proceedings of the 2007 GECCO Conference Companion on Genetic and Evolutionary Computation, pp. 2759–2764. ACM, New York (2007)
3. Collard, P., Escazut, C.: Relational Schemata: A Way to Improve the Expressiveness of Classifiers. In: Proceedings of the 6th International Conference on Genetic Algorithms (ICGA 1995), pp. 397–404. Morgan Kaufmann, Pittsburgh (1995)
4. Cordon, O., Gomide, F., Herrera, F., Hoffmann, F., Magdalena, L.: Ten Years of Genetic Fuzzy Systems: Current Framework and New Trends. Fuzzy Sets and Systems 141, 5–31 (2004)
5. Flach, P.A., Lavrac, N.: The Role of Feature Construction in Inductive Rule Learning. In: Proceedings of the ICML2000 workshop on Attribute-Value and Relational Learning: crossing the boundaries, pp. 1–11. Morgan Kaufmann, San Francisco (2000)