Abstract
Can the machines that play board games or recognize images only in the comfort of the virtual world be intelligent? To become reliable and convenient assistants to humans, machines need to learn how to act and communicate in the physical reality just like people do. The authors propose two novel ways of designing and building Artificial General Intelligence (AGI). The first one seeks to unify all participants in any instance of the Turing test – the judge, the machine, the human-subject as well as the means of observation instead of building a separating wall. The second one aims to design AGI programs in such a way that they can move in various environments. The authors thoroughly discuss four areas of interaction for robots with AGI and are introducing a new idea of techno-umwelt bridging artificial intelligence with biology in a new way.
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Efimov, A., Dubrovsky, D.I., Matveev, P. (2022). Walking Through the Turing Wall. In: Klimov, V.V., Kelley, D.J. (eds) Biologically Inspired Cognitive Architectures 2021. BICA 2021. Studies in Computational Intelligence, vol 1032. Springer, Cham. https://doi.org/10.1007/978-3-030-96993-6_11
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