Abstract
We define here the primary concepts needed to make a hardware machine with intelligence capabilities similar to animals and humans, a machine that innately imitates, unconsciously initiates attention shifts, wonders what if, learns why, and improves from mistakes. We will specify the functional requirements for a few particularly important parts, as connectionist schemas. This poses several problems for established disciplines of AI, to produce computational algorithms of the kinds required here. These notes will guide the next phase, where the schemas described here will be turned into code intended to learn to play the Super Mario Brothers video game.
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King, P.A. (2013). Design of a Conscious Machine. In: Dowe, D.L. (eds) Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence. Lecture Notes in Computer Science, vol 7070. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-44958-1_16
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DOI: https://doi.org/10.1007/978-3-642-44958-1_16
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