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John R. Koza is a computer scientist and a consulting professor at Stanford University, most notable for his work in pioneering the use of genetic programming for the optimization of complex problems, and for the evolution of computer programs which solve them. A computer scientist is a person that has acquired knowledge of Computer science, the study of the theoretical foundations of information and computation and their application Leland Stanford Junior University, commonly known as Stanford University or simply Stanford, is a private Research university located in In Artificial intelligence, genetic programming (GP is an Evolutionary algorithm based methodology inspired by Biological evolution to find Computer programs (also software programs, or just programs) are instructions for a Computer. He was a cofounder of Scientific Games Corporation, a company which built computer systems to run state lotteries in the United States. Scientific Games Corporation is a New York City -based company publicly traded on the NASDAQ exchange under the ticker symbol SGMS A lottery is a form of Gambling which involves the drawing of lots for a prize He also invented the scratch-off lottery ticket. A lottery is a form of Gambling which involves the drawing of lots for a prize

Koza has a PhD in computer science from the University of Michigan (1972). "PhD" redirects here for other uses see PhD (disambiguation. Computer science (or computing science) is the study and the Science of the theoretical foundations of Information and Computation and their The University of Michigan Ann Arbor ( U of M, U-M, UM or simply Michigan) is a top-ranked Coeducational public research His thesis was titled On Inducing a Non-Trivial, Parsimonious Grammar for a Given Sample of Sentences.

John Koza has his own company Genetic Programming Inc. , and uses a 1000 node Beowulf cluster, composed of Pentium II and DEC Alpha processors, to do his research. Originally referring to a specific computer built in 1994 Beowulf is a class of Computer clusters similar to the original NASA system The Pentium II brand refers to Intel 's sixth-generation Microarchitecture (" Intel P6 " and x86 -compatible Microprocessors Digital Equipment Corporation was a pioneering American company in the Computer industry

Koza was recently featured in Popular Science for his work on evolutionary programming that alters its own code to find far more complex solutions. For the 1935-1949 film series see Popular Science (film. Popular Science is an American monthly Magazine founded in 1872 The machine, which he calls the "invention machine", has created antennae, circuits, and lenses, and has received a patent from the US Patent Office. The United States Patent and Trademark Office ( PTO or USPTO) is an agency in the United States Department of Commerce that issues Patents to

In 2006 Koza suggested a plan to revamp the Electoral College in the United States such that candidates would be elected by a national popular vote. An electoral college is a set of many electors who are empowered to elect a candidate to a particular Office. [1]

References

  1. ^ Yi, Matthew. "Stanford professor stumps for electoral alternative", San Francisco Chronicle, 2006-07-24. The San Francisco Chronicle was founded in 1865 as The Daily Dramatic Chronicle by teenage brothers Charles de Young and Michael H Year 2006 ( MMVI) was a Common year starting on Sunday of the Gregorian calendar. Events 1132 - Battle of Nocera between Ranulf II of Alife and Roger II of Sicily.  

Works by Koza

  1. Koza, J. R. (1990). Genetic Programming: A Paradigm for Genetically Breeding Populations of Computer Programs to Solve Problems, Stanford University Computer Science Department technical report STAN-CS-90-1314 (http://www.genetic-programming.com/jkpdf/tr1314.pdf). A thorough report, possibly used as a draft to his 1992 book.
  2. Koza, J. R. (1992). Genetic Programming: On the Programming of Computers by Means of Natural Selection, MIT Press. The MIT Press is a University press affiliated with the Massachusetts Institute of Technology (MIT in Cambridge Massachusetts ( USA) ISBN 0-262-11170-5
  3. Koza, J. R. (1994). Genetic Programming II: Automatic Discovery of Reusable Programs, MIT Press. ISBN 0-262-11189-6
  4. Koza, J. R. ; Goldberg, David; Fogel, David; & Riolo, Rick, (Eds. ) (1996). Genetic Programming 1996: Proceedings of the First Annual Conference (Complex Adaptive Systems), MIT Press. ISBN 0-262-61127-9
  5. Koza, J. R. ; Deb, K. ; Dorigo, M. ; Fogel, D. ; Garzon, M. ; Iba, H. ; & Riolo, R. , (Eds. ) (1997). Genetic Programming 1997: Proceedings of the Second Annual Conference, Morgan Kaufmann. ISBN 1-55860-483-9
  6. Koza, J. R. ; & Others (Eds. )(1998). Genetic Programming 1998, Morgan Kaufmann Publishers. ISBN 1-55860-548-7
  7. Koza, J. R. ; Bennett, F. H. ; Andre, D. ; & Keane, M. A. (1999). Genetic Programming III: Darwinian Invention and Problem Solving, Morgan Kaufmann. ISBN 1-55860-543-6
  8. Koza, J. R. ; Keane, M. A. ; Streeter, M. J. ; Mydlowec, W. ; Yu, J. ; & Lanza, G. (2003). Genetic Programming IV: Routine Human-Competitive Machine Intelligence, Springer. ISBN 1-4020-7446-8

External links

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