Learning Classifier Systems, From Foundations to Applications

By Pier Luca Lanzi, Wolfgang Stolzmann, Stewart W. Wilson. 2000

271 citations recorded by the source corpus.

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The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Sebastian Risi
2. Andrea Soltoggio
3. Kenneth O. Stanley
4. Jean-Baptiste Mouret
5. Paul Tonelli
6. Joel Lehman
7. Jeff Clune
8. Justin K. Pugh

Citations in the corpus

• Born to Learn: the Inspiration, Progress, and Future of Evolved Plastic Artificial Neural Networks (2017, background): “, 1997; Nolfi and Floreano, 2000), learning classifier systems (Lanzi et al., 2003; Butz, 2015), and neuroevolution (Yao, 1999) specifically research algorithms that, by exploiting artificial evolution of physical, computational, and neural models, seek to discover principles behind intelligent and ”
• Evolutionary Function Approximation for Reinforcement Learning (2006, unknown): “XCS (Butz and Wilson, 2002), based on learning classifier systems (Lanzi et al., 2000), combine evolutionary computation and reinforcement learning in a different way.”
• Learning classifier systems: a complete introduction, review, and roadmap (2009, unknown): “In 1998 Stolzmann introduced ACS [24] and in doing so formalized a new LCS family referred to as “anticipationbased”.”