The use of evolutionary programming based on training examples for the generation of finite state machines for controlling objects with complex behavior-Reference-Cited by-同舟云学术

The use of evolutionary programming based on training examples for the generation of finite state machines for controlling objects with complex behavior

Published:2013-05 Issue:3 Volume:52 Page:410-425
ISSN:1064-2307
Container-title:Journal of Computer and Systems Sciences International
language:en
Short-container-title:J. Comput. Syst. Sci. Int.

Author:

Aleksandrov A. V.,Kazakov S. V.,Sergushichev A. A.,Tsarev F. N.,Shalyto A. A.

Publisher

Pleiades Publishing Ltd

Subject

Applied Mathematics,Computer Networks and Communications,Computer Vision and Pattern Recognition,Information Systems,Theoretical Computer Science,Control and Systems Engineering,Software

Link

http://link.springer.com/content/pdf/10.1134/S1064230713020020.pdf

Reference15 articles.

1. N. I. Polikarpova and A. A. Shalyto, Automata-Based Programming (Piter, St. Petersburg, 1991) [in Russian], http://is.ifmo.ru/books/-book.pdf

2. A. A. Shalyto, SWITCH-Technology. Algorithmization and Programming Logic Control Systems (Nauka, St. Petersburg, 1998) [in Russian].

3. P. Angeline and J. Pollack, “Evolutionary module acquisition,” in Proc. of the Second Annual Conf. on Evolutionary Programming (MIT Press, Cambridge, 1993), pp. 154–163. http://www.demo.cs.brandeis.edu/papers/ep93.pdf

4. D. Jefferson, R. Collins, C. Cooper, et al., “The genesys system: Evolution as a theme in artificial life,” in Proc. of the Second Conf. on Artificial Life (Addison-Wesley, 1992), pp. 549–578. www.cs.ucla.edu/~dyer/Papers/AlifeTracker/Alife91Jefferson.html

5. F. N. Tsarev and A. A. Shalyto, “The use of genetic programming for generating a finite state machine in the smart ant problem,” in Proc. of the 4th Int. Conf. on Integrated Models and Soft Computations in Artificial Intelligence (Fizmatlit, Moscow, 2007), pp. 50–597. http://is.ifmo.ru/genalg/-ant-ga.pdf

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