Abstract
In this paper, an index for measuring the versatility and efficiency of artificial general intelligence (AGI) systems is proposed. The Versatility-Efficiency Index (VEI), is the updated version of our previous efforts (i.e., Versatility Index (VI)) towards a comprehensive definition of an intelligence quotient (IQ) for intelligent agents. VEI is based on both Legg-Hutter and Pennachin-Goertzel definitions of intelligence and plays as an alternative way for measuring the intelligence level of intelligent agents. VEI, in contrast to VI, also encompasses the qualitative characteristics of intelligent agents like their wellness of performance and the complexity of the operating environments. VEI is applicable to both of the natural general intelligence (NGI) agents and AGI agents. For determining two parameters of VEI, AGI Pyramid – a novel classification of environments by classification of the problems of the universal problem space (UPS)- is proposed. The role of the Artificial General Intelligence Society (AGIS) in the mentioned classification and determination as well as the importance of the VEI in slowing down or preventing from singularity and its role as the possible bridge between intelligence and physics are also discussed.
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Notes
- 1.
Although the terms problem, task and goal have slight differences in meaning, in this paper they are considered the same.
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Alidoust, M. (2023). Versatility-Efficiency Index (VEI): Towards a Comprehensive Definition of Intelligence Quotient (IQ) for Artificial General Intelligence (AGI) Agents. 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_15
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