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Toward a Comprehensive List of Necessary Abilities for Human Intelligence, Part 1: Constructing Knowledge

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Artificial General Intelligence (AGI 2022)

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Abstract

In [1], Adams et al. chart a roadmap toward the grand AI vision, with human-level (or greater) intelligence as destination. To that end, in this and a companion paper [2], I take one of the next steps they outline, to “refine the list of specific competency areas” in human cognition. It is argued that we should move toward a comprehensive list of all required abilities to make clearer what is known, unknown, and what the next steps should be, such as resolving how abilities piece together into the larger-scale puzzle of general intelligence. This paper concentrates roughly on the first half of cognitive processing, from initial input to knowledge construction and memory storage (including, for example, emotion, perception, attention, memory, and knowledge construction processes, such as reasoning, imagination, and simulation); with the second paper on the action-based second half that uses the knowledge for constructive outcomes.

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Correspondence to Jerald D. Kralik .

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Kralik, J.D. (2023). Toward a Comprehensive List of Necessary Abilities for Human Intelligence, Part 1: Constructing Knowledge. In: Goertzel, B., Iklé, M., Potapov, A., Ponomaryov, D. (eds) Artificial General Intelligence. AGI 2022. Lecture Notes in Computer Science(), vol 13539. Springer, Cham. https://doi.org/10.1007/978-3-031-19907-3_27

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  • DOI: https://doi.org/10.1007/978-3-031-19907-3_27

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