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Deborah Whitis Posts: 2 Joined: 2/13/2007
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A synaptically perturbed neural network forms an efficient search engine within and around any conceptual space upon which it has been trained. Pertinent publications demonstrating use/validation of code include:
Yam, Philip, "Daisy, Daisy: do computers have near-death experience?", Scientific American, May 1993. Yam, Philip, "As They Lay Dying ... Near the end, artificial neural networks become creative", Scientific American, May 1995. Thaler, S. L., "Neural Networks That Create and Discover," PC AI, May/June 1996. Holmes, R., "The Creativity Machine," New Scientist, 20 January 1996. Thaler, S. L., US Patent 5,659,666, "Device for the autonomous generation of useful information", Issued August 19, 1997. Thaler, S. L., US Patent 6,018,727, "Device for the autonomous generation of useful information", Issued January 25, 2000. Thaler, S. L., US Patent 6,356,884, "System for the Autonomous Generation of Useful Information", Issued March 12, 2002. Minimum system/software requirements to use: The PatternMaster application runs on Windows 2000 and XP and requires an IEI security dongle to function. Citation: "PatternMaster™ (Patent Pending)," Imagination Engines, Inc.. © 2007, Imagination Engines, Inc.. Launch Site |
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