Abstract
The philosophy of the artificial adaptive system is described and compared with natural language. Some parallels are striking. The artificial sciences create models of reality, but how well they approximate the “real world” determines their effectiveness and usefulness. This chapter provides a clear understanding of expectations from using this technology, an appreciation for the complexities involved, and the need to continue forward with a mind open to unexpected and unknown potential. Supervised and unsupervised networks are described.
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Buscema, P.M. (2013). The General Philosophy of Artificial Adaptive Systems. In: Buscema, M., Tastle, W. (eds) Intelligent Data Mining in Law Enforcement Analytics. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-4914-6_3
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DOI: https://doi.org/10.1007/978-94-007-4914-6_3
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