(Enter summary)
Abstract: : Genetic Programming is a method for evolving
functions that find approximate or exact solutions to
problems. There are many problems that traditional Genetic
Programming (GP) cannot solve, due to the theoretical
limitations of its paradigm. A Turing machine (TM) is a
theoretical abstraction that express the extent of the
computational power of algorithms. Any system that is
Turing complete is sufficiently powerful to recognize all
possible algorithms. GP is not Turing complete. This paper... (Update)
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8: The evolution of mental models (context) - Teller - 1994
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BibTeX entry: (Update)
Astro Teller. Turing completeness in the language of genetic programming with indexed memory. In Proceedings of the 1994 IEEE World Congress on Computational Intelligence, volume 1. IEEE Press, Jun 1994. http://citeseer.ist.psu.edu/teller94turing.html More
@inproceedings{ teller94turing,
author = "Astro Teller",
title = "Turing Completeness in the Language of Genetic Programming with Indexed Memory",
booktitle = "Proceedings of the 1994 {IEEE} World Congress on Computational Intelligence",
volume = "1",
month = "27-29",
publisher = "IEEE Press",
address = "Orlando, Florida, USA",
pages = "136--141",
year = "1994",
url = "citeseer.ist.psu.edu/teller94turing.html" }
Citations (may not include all citations):
72
The Evolution of Mental Models (context) - Astro - 1993
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Documents on the same site (http://www.cs.cmu.edu/~astro/astro-paper-page-frame.html): More
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