The Result

Genetic programming evolved the topology and sizing of a high-current load circuit as described in Section 15.4.3 of Genetic Programming IV: Routine Human-Competitive Machine Intelligence (Koza, Keane, Streeter, Mydlowec, Yu, and Lanza 2003).

BBB3321

Basis for Claim of Human-Competitiveness

This genetically evolved circuit is one of six genetically evolved circuits that duplicate the functionality of a circuit patented after January 1, 2000, as described in Chapter 15 of Genetic Programming IV: Routine Human-Competitive Machine Intelligence (Koza, Keane, Streeter, Mydlowec, Yu, and Lanza 2003).

This genetically evolved circuit duplicates the functionality of the high-current load circuit patented by Timothy Daun-Lindberg and Michael Miller of International Business Machines Corporation in 2001.

Referring to the eight criteria in table 1.2 of Genetic Programming IV: Routine Human-Competitive Machine Intelligence (Koza, Keane, Streeter, Mydlowec, Yu, and Lanza 2003) for establishing that an automatically created result is competitive with a human-produced result, this genetically evolved result satisfies the first of the eight criteria:

(A) The result was patented as an invention in the past, is an improvement over a patented invention, or would qualify today as a patentable new invention.

References

Daun-Lindberg, Timothy Charles and Miller, Michael Lee. 2001. Low Voltage High-Current Electronic Load. U.S. patent 6,211,726. Filed June 28, 1999. Issued April 3, 2001.

Koza, John R., Keane, Martin A., Streeter, Matthew J., Mydlowec, William, Yu, Jessen, and Lanza, Guido. 2003. Genetic Programming IV: Routine Human-Competitive Machine Intelligence. Kluwer Academic Publishers.

· The home page of Genetic Programming Inc. at www.genetic-programming.com.

· For information about the field of genetic programming and the field of genetic and evolutionary computation, visit www.genetic-programming.org

· The home page of John R. Koza at Genetic Programming Inc. (including online versions of most published papers) and the home page of John R. Koza at Stanford University

· For information about John Koza’s course on genetic algorithms and genetic programming at Stanford University

· Information about the 1992 book Genetic Programming: On the Programming of Computers by Means of Natural Selection, the 1994 book Genetic Programming II: Automatic Discovery of Reusable Programs, the 1999 book Genetic Programming III: Darwinian Invention and Problem Solving, and the 2003 book Genetic Programming IV: Routine Human-Competitive Machine Intelligence. Click here to read chapter 1 of Genetic Programming IV book in PDF format.

· 3,440 published papers on genetic programming (as of November 28, 2003) in a searchable bibliography (with many on-line versions of papers) by over 880 authors maintained by William Langdon’s and Steven M. Gustafson.

· For information on the Genetic Programming and Evolvable Machines journal published by Kluwer Academic Publishers

· For information on the Genetic Programming book series from Kluwer Academic Publishers, see the Call For Book Proposals

· For information about the annual Genetic and Evolutionary Computation (GECCO) conference (which includes the annual GP conference) to be held on June 26–30, 2004 (Saturday – Wednesday) in Seattle and its sponsoring organization, the International Society for Genetic and Evolutionary Computation (ISGEC). For information about the annual Euro-Genetic-Programming Conference to be held on April 5-7, 2004 (Monday – Wednesday) at the University of Coimbra in Coimbra Portugal. For information about the 2003 and 2004 Genetic Programming Theory and Practice (GPTP) workshops held at the University of Michigan in Ann Arbor. For information about Asia-Pacific Workshop on Genetic Programming (ASPGP03) held in Canberra, Australia on December 8, 2003. For information about the annual NASA/DoD Conference on Evolvable Hardware Conference (EH) to be held on June 24-26 (Thursday-Saturday), 2004 in Seattle.

Last updated on December 27, 2003