Abstract
Most systems that require the operator control can be considered as man–machine cooperative systems in whose functioning, humans, machines and other unintelligent parts play specific roles. Each role has a value. The recently developed machine intelligence quotient (MIQ) measures the contribution provided by the machines to a system. However, for a more practical decision making process, one needs to also consider the cost of improvements. We propose a simple measure of the cost-benefit criterion which enhances the aforementioned concept by adjusting it for the cost, the cost adjusted MIQ (CAMIQ). The method can be especially useful when trying to determine the best solution among several contenders which are similarly valued, but costwise different.
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Ozkul, T., Genc, I.H. (2012). Cost Adjusted MIQ: A New Tool for Measuring Intelligence Value of Systems. In: Ao, S., Castillo, O., Huang, X. (eds) Intelligent Control and Innovative Computing. Lecture Notes in Electrical Engineering, vol 110. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-1695-1_14
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DOI: https://doi.org/10.1007/978-1-4614-1695-1_14
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