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Artificial Intelligence Evolved from Random Behaviour: Departure from the State of the Art

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Artificial Intelligence, Evolutionary Computing and Metaheuristics

Part of the book series: Studies in Computational Intelligence ((SCI,volume 427))

Abstract

Since John McCarthy at MIT coined the term artificial intelligence in 1956 aiming to make a machine have a human-like intelligence in a visible future, we have had lots of discussions whether it is possible in a true sense, and lots of intelligent machines have been reported. Nowadays, the term is ubiquitous in our community. In this chapter we discuss how those proposed machine intelligences are actually intelligent. Starting with how we define intelligence, how can we measure it, how those measurements really represent intelligence and so on, by surveying the Legg and Hutter’s seminal paper on formal definition of machine intelligence, we name a few others, taking a brief look at our own too. We also consider a modern interpretation of the Turing test originally proposed in 1950. Then we argue a benchmark to test how an application is intelligent by means of an algorithm for stock market investment as an example. Finally we take a consideration of how we can achieve a human intelligence in a real sense in a real visible future, including an analysis of IT changes stimulating artificial intelligence development.

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Authors and Affiliations

  1. Faculty of Computer Science and Information Technology, West Pomeranian University of Technology in Szczecin, ul. Żołierska 49, 71-210, Szczecin, Poland

    Wiesłw Pietruszkiewicz

  2. Intelligent Information Technologies Department, Brest State Technical University, Moskowskaja Street 267, Brest, 224017, Belarus

    Akira Imada

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  1. Wiesłw Pietruszkiewicz
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  2. Akira Imada
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Correspondence to Wiesłw Pietruszkiewicz .

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Editors and Affiliations

  1. , Mathematics and Scientific Computing, National Physical Laboratory, Hampton Road, Teddington, TW11 0LW, United Kingdom

    Xin-She Yang

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Pietruszkiewicz, W., Imada, A. (2013). Artificial Intelligence Evolved from Random Behaviour: Departure from the State of the Art. In: Yang, XS. (eds) Artificial Intelligence, Evolutionary Computing and Metaheuristics. Studies in Computational Intelligence, vol 427. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29694-9_2

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  • DOI: https://doi.org/10.1007/978-3-642-29694-9_2

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