Abstract
This paper explores the connection between top down modelling and the artificial intelligence (AI) technique of Genetic Programming (GP). It provides examples to illustrate how the author and colleagues took advantage of this connection to solve real world problems. Following this account, the paper speculates about how GP may be developed further to meet more challenging real world problems. It calls for novel applications of GP to quantify a top down design in order to make rapid progress with the understanding of organizations.
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Howard, D. (2004). Top Down Modelling with Genetic Programming. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2004. Lecture Notes in Computer Science(), vol 3215. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30134-9_31
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DOI: https://doi.org/10.1007/978-3-540-30134-9_31
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