Abstract
This paper presents a design framework for artificial general intelligence (AGI). The approach is guided by a simple question: if we encounter an intelligent system, what could we observe? The answer is based on the idea that intelligence emerges from simple goal-driven interactive adaptability, and the process leads to emerging properties underlying complex behaviors of any intelligent systems. These properties in turn serves as design criteria for the construction of a network architecture of AGI which is proposed here for further investigations in future studies.
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Notes
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Additional operators such as initialization, copying, merging, and terminating could be added to the operation when needed for complex situations.
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© 2021 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Tran, S., Taylor, S.A., Nicolau, D.V. (2021). Limits of Intelligence and Design Implication. In: Nakano, T. (eds) Bio-Inspired Information and Communications Technologies. BICT 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 403. Springer, Cham. https://doi.org/10.1007/978-3-030-92163-7_18
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DOI: https://doi.org/10.1007/978-3-030-92163-7_18
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