A model of machine learning that derives its behavior from a metaphor of the mechanisms of evolution in nature. Within a program, a population of simulated individuals are created and undergo a process of evolution in a simulated competitive environment.
Articles on KurzweilAI.net that refer to Genetic AlgorithmA Simple Model of Unbounded Evolutionary Versatility as a Largest-Scale Trend in Organismal Evolution By
Chapter 7: Applying Organic Design Principles to Machines is Not an Analogy But a Sound Strategy By Ray Kurzweil
Reflections on Stephen Wolfram's 'A New Kind of Science' By Ray Kurzweil
Why We Can Be Confident of Turing Test Capability Within a Quarter Century By Ray Kurzweil
The Human Machine Merger: Why We Will Spend Most of Our Time in Virtual Reality in the Twenty-first Century By Ray Kurzweil
Stop everything...IT'S TECHNO-HORROR! By George Gilder and
The Age of Spiritual Machines: Glossary By Ray Kurzweil
THE HUMAN MACHINE MERGER: ARE WE HEADED FOR THE MATRIX? By Ray Kurzweil
The Gray Goo Problem By Robert A. Freitas Jr.
The Virtual Thomas Edison By Ray Kurzweil
News Articles that refer to Genetic AlgorithmComputers that improve themselves
AI game programming book articles solicited
Computer DJ uses biofeedback to pick tracks
Crunching for Dollars
High Tech Evolves
A Theory of Evolution, for Robots
Composer harnesses artificial intelligence to create music
Darwin in a Box
Poetry website goes from bad to verse
Humans and computers compete in virtual creature game
Related LinksIntroduction to Genetic Algorithms
Genetic Adaptive Systems Lab at the University of Reno
We investigate systems that combine genetic algorithm (GA) search with case-based reasoning (CBR) principles. Although we realize that combined GA-CBR systems are particular instances of hybrid learning systems that combine a robust search algorithm with an associative memory, we have so far only considered GA-CBR systems. Such search-memory systems, we believe, lead to a new paradigm for machine learning with special emphasis on engineering applications.
The MSU Genetic Algorithms Research and Applications Group (the GARAGe) is a multi-disciplinary unit interested in the application of Genetic Algorithms and Genetic Programming to real-world problems, as well as fundamental research on GA and GP.
Illinois Genetic Algorithm Laboratory
At the Illinois Genetic Algorithms Laboratory (IlliGAL), we study nature's search algorithm of choice, genetics and evolution, as a practical approach to solving difficult problems on a computer.