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.
|Name||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Conference||7th International Conference on Artificial General Intelligence, AGI 2014|
|City||Quebec City, QC|
|Period||1/08/14 → 4/08/14|
- Theoretical Computer Science
- Computer Science(all)