From biological models to the evolution of robot control systems-Reference-Cited by-同舟云学术

From biological models to the evolution of robot control systems

Published:2003-08-20 Issue:1811 Volume:361 Page:2145-2164
ISSN:1364-503X
Container-title:Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences
language:en
Short-container-title:Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences

Author:

Bullinaria John A.¹

Affiliation:

1. School of Computer Science, The University of Birmingham, Birmingham B15 2TT, UK

Publisher

The Royal Society

Subject

General Physics and Astronomy,General Engineering,General Mathematics

Link

https://royalsocietypublishing.org/doi/pdf/10.1098/rsta.2003.1249

Reference28 articles.

1. Baldwin J. M. 1896 A new factor in evolution. Am. Naturalist 30 441{451.

2. Belew R. K. & Mitchell M. (eds) 1996 Adaptive individuals in evolving populations. Reading MA: Addison-Wesley.

3. Bullinaria J. A. 2001a Exploring the Baldwin e® ect in evolving adaptable control systems. In Connectionist models of learning development and evolution (ed. R. F. French & J. P. Sougne) pp. 231{242. Springer.

4. Bullinaria J. A. 2001b Evolving variable plasticity in neural systems. In Advances in fuzzy systems and evolutionary computation (ed. N. Mastorakis) pp. 236{241. Danvers MA: WSES Press.

5. Bullinaria J. A. & Riddell P. M. 2000 Learning and evolution of control systems. Neural Netw. World 10 535{544.

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