Abstract
We offer a novel theoretical approach to AGI. Starting with a brief introduction of the current conceptual approach, our critique exposes limitations in the ontological roots of the concept of intelligence. We propose a paradigm shift from intelligence perceived as a competence of individual agents defined in relation to an a priori given problem or a goal, to intelligence perceived as a formative process of self-organization by which intelligent agents are individuated. We call this process Open-ended intelligence. This paradigmatic shift significantly extends the concept of intelligence beyond its current definitions and overcomes the difficulties exposed in the critique. Open-ended intelligence is developed as an abstraction of the process of cognitive development so its application can be extended to general agents and systems. We show how open-ended intelligence can be framed in terms of a distributed, self-organizing scalable network of interacting elements.
This is a summary version; the full paper can be found in http://www.tandfonline.com/doi/full/10.1080/0952813X.2016.1185748.
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Weinbaum, D.(., Veitas, V. (2016). Open-Ended Intelligence. In: Steunebrink, B., Wang, P., Goertzel, B. (eds) Artificial General Intelligence. AGI 2016. Lecture Notes in Computer Science(), vol 9782. Springer, Cham. https://doi.org/10.1007/978-3-319-41649-6_5
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DOI: https://doi.org/10.1007/978-3-319-41649-6_5
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