The Evolutionary Emergence route to Artificial Intelligence

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@MastersThesis{Channon:masters,

• author = "Alastair D. Channon",
• title = "The Evolutionary Emergence route to Artificial Intelligence",
• school = "School of Cognitive and Computing Sciences, University of Sussex",
• year = "1996",
• address = "UK",
• keywords = "genetic algorithms, genetic programming, Artificial Intelligence, Emergence, Artificial Life, Neural Networks, Development, Modularity, Fractals, Lindenmayer Systems, Recurrence",
• URL = "http://www.channon.net/alastair/msc/adc_msc.pdf",
• size = "30 pages",
• abstract = "The artificial evolution of intelligence is discussed with respect to current methods. An argument for withdrawal of the traditional fitness function in genetic algorithms is given on the grounds that this would better enable the emergence of intelligence, necessary because we cannot specify what intelligence is. A modular developmental system is constructed to aid the evolution of neural structures and a simple virtual world with many of the properties believed beneficial is set up to test these ideas. Resulting emergent properties are given, along with a brief discussion.",

}

Genetic Programming entries for Alastair D Channon

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