By John R. Koza, Martin A. Keane, Matthew J. Streeter, William Mydlowec, Jessen Yu, Guido Lanza
Genetic Programming IV: Routine Human-Competitive desktop Intelligence presents the applying of GP to a large choice of difficulties related to computerized synthesis of controllers, circuits, antennas, genetic networks, and metabolic pathways. The publication describes fifteen cases the place GP has created an entity that both infringes or duplicates the performance of a formerly patented 20th-century invention, six cases the place it has performed an identical with appreciate to post-2000 patented innovations, circumstances the place GP has created a patentable new invention, and 13 different human-competitive effects. The e-book also establishes:
GP now supplies regimen human-competitive desktop intelligence
GP is an automatic invention machine
GP can create normal suggestions to difficulties within the kind of parameterized topologies
GP has added qualitatively extra massive leads to synchrony with the relentless generation of Moore's Law
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Extra resources for Genetic Programming IV: Routine Human-Competitive Machine Intelligence
4. An additional order-of-magnitude increase was achieved by the expedient of making extraordinarily long runs on the largest machine in the table (the 1,000-node Pentium® II parallel machine). 1). A patent application was filed for the controller produced by this four-week run (Keane, Koza, and Streeter 2002a). This genetically evolved controller outperforms controllers employing the widely used Ziegler-Nichols tuning rules and the recently developed Åström-Hägglund tuning rules. 5 is counted as an additional speed-up, the overall speed-up between the first and last entries in the table is 130,660-to-1.
The universe of allowable compositions of these ingredients defines the search space for a run of genetic programming. The identification of the function set and terminal set for a particular problem (or category of problems) is often a mundane and straightforward process that requires only de minimus knowledge and platitudinous information about the problem domain. For example, if the goal is to get genetic programming to automatically program a robot to mop the entire floor of an obstacle-laden room, the human user must tell genetic programming that the robot is capable of executing functions such as moving, turning, and swishing the mop.
Introduction 5 project. In spite of the fact that Deep Blue delivered a high (human-competitive) amount of “A,” the project has a low return when measured in terms of the A-to-I ratio. The builders of Deep Blue convincingly demonstrated the high level of intelligence of the humans involved in the project, but very little in the way of machine intelligence. The Chinook checker-playing computer program is another impressive humancompetitive result. Jonathan Schaeffer recounts the development of Chinook by his eight-member team at the University of Alberta between 1989 and 1996 in his book One Jump Ahead: Challenging Human Supremacy in Checkers (Schaeffer 1997).