Abstract
An Application Programming Interface for human-level AGI systems is proposed, aimed at bridging the gap between proto-AGI R&D systems and practical AI application development. The API contains simply formalized queries corresponding to the various key aspects of human-like intelligence, organized so as to be independent of the algorithms used under the hood for query resolution and associated supporting cognitive processes. A novel, qualitative (and in principle quantifiable) measure of software general intelligence is proposed (the APIQ), measuring the degree to which a system succeeds at fulfilling the various API functions using a compact set of representations and algorithms.
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Goertzel, B., Yu, G. (2014). A Cognitive API and Its Application to AGI Intelligence Assessment. In: Goertzel, B., Orseau, L., Snaider, J. (eds) Artificial General Intelligence. AGI 2014. Lecture Notes in Computer Science(), vol 8598. Springer, Cham. https://doi.org/10.1007/978-3-319-09274-4_25
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DOI: https://doi.org/10.1007/978-3-319-09274-4_25
Publisher Name: Springer, Cham
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