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As Smart as a Human? Leveraging Models of Human Intelligence to Assess the Intelligence of Systems
Author(s) -
Brown Barclay R.
Publication year - 2020
Publication title -
insight
Language(s) - English
Resource type - Journals
eISSN - 2156-4868
pISSN - 2156-485X
DOI - 10.1002/inst.12280
Subject(s) - computer science , human intelligence , marketing and artificial intelligence , artificial intelligence , computational intelligence , intelligence assessment , intelligence cycle , intelligent decision support system , knowledge management , military intelligence , archaeology , history
As we evolve artificial and machine intelligence concepts, and consider their extension into intelligent systems, it becomes important to be able to assess the system's intelligence level. This assessment serves several important needs in systems engineering. First, it enables the tradeoff of system design alternatives based on a system's intelligence, along with other factors including cost and performance. Second, it influences system verification and validation methods. Lastly, it will help stakeholders specify the required system intelligence. Assessing or specifying the system's intelligence presents many challenges and difficulties similar to those faced by psychologists and neurologists in measuring the intelligence of human beings and animals. This article explores some human and animal intelligence assessment concepts and shows their application to assessing a system's intelligence.