By Edited by Wolfgang Stolzmann, Edited by Stewart W. Wilson Edited by Pier Luca Lanzi

Those are the refereed post-proceedings of the 4th foreign Workshop on studying Classifier structures, IWLCS 2001. the 1st half is dedicated to theoretical matters, and the second one to functions in a variety of fields akin to facts mining, inventory buying and selling, and tool distribution networks.

Show description

Read or Download Advances in learning classifier systems: 4th international workshop, IWLCS 2001, San Francisco, CA, USA, July 7-8, 2001 : revised papers PDF

Best international books

The Small-Mart Revolution: How Local Businesses Are Beating the Global Competition (BK Currents (Paperback))

Defenders of globalization, unfastened markets, and loose exchange insist there is not any replacement to mega-stores like Wal-Mart -- Michael Shuman begs to vary. In "The Small-Mart Revolution, Shuman makes a compelling case for his substitute enterprise version, one during which groups take advantage of "going neighborhood" in 4 key spending different types: items, providers, power, and finance.

Extra resources for Advances in learning classifier systems: 4th international workshop, IWLCS 2001, San Francisco, CA, USA, July 7-8, 2001 : revised papers

Example text

Learning Classifier Systems: From Foundations to Applications, LNAI 1813 pp. 175–194. Berlin Heidelberg: Springer-Verlag. , and Butz, M. V. (2000). Latent learning and actionplanning in robots with anticipatory classifier systems. In Lanzi, P. , and Wilson, S. W. ), Learning Classifier Systems: 22 Martin V. Butz From Foundations to Applications, LNAI 1813 pp. 301–317. Berlin Heidelberg: Springer-Verlag. , Butz, M. , and Goldberg, D. E. (2000). First cognitive capabilities in the anticipatory classifier system.

1994). Synthetic ethology and the evolution of cooperative communication. Adaptive Behavior, 2(2), Fall 1993, pp. 161-188. MIT Press. 20. MacLennan, B. (1999). The emergence of communication through synthetic evolution. To appear in Honavar, V. , and Balakrishnan K. ): Advances in evolutionary synthesis of neural systems. MIT Press. 21. Michel, O. (1995). ch/lami/team/michel/khep-sim/ ´ ee, G. and Escazut, C. (2001). A Minimal Model of Communication for Multi22. En´ Agent Systems. To appear in the proceedings of the 8th IEEE International Conference on Emerging Technologies and Factory Automation, Antibes France.

And Wilson, S. W. ) (2001). Advances in learning classifier systems, LNAI 1996. Berlin Heidelberg: SpringerVerlag. Moore, A. , and Atkeson, C. (1993). Memory-based reinforcement learning: Converging with less data and less real time. Machine Learning, 13 , 103–130. Stolzmann, W. (1997). Antizipative Classifier Systems [Anticipatory classifier systems]. Aachen, Germany: Shaker Verlag. Stolzmann, W. (2000). An introduction to anticipatory classifier systems. In Lanzi, P. , and Wilson, S. W. ), Learning Classifier Systems: From Foundations to Applications, LNAI 1813 pp.

Download PDF sample

Rated 4.53 of 5 – based on 43 votes