Machine intelligence quotient: its measurements and applications

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We have investigated the notion of machine intelligence, based on extensive literature survey and have proposed two methods to measure intelligence of a machine. Specially, we have first analyzed those engineering systems or products that are said to be intelligent and have extracted four common constructs, each of which consists of several variables. Based on them, we have then suggested two typical models, which are represented as entities in three-dimensional construct space. In order to find a number, called machine intelligence quotient (MIQ), we adopt two fuzzy integrals, Sugeno fuzzy integral and Choquet fuzzy integral. Two application examples are given for the typical models using two fuzzy integrals, and comparative comments are made. (C) 2002 Elsevier Science B.V. All rights reserved.
Publisher
ELSEVIER SCIENCE BV
Issue Date
2002-04
Language
English
Article Type
Article; Proceedings Paper
Citation

FUZZY SETS AND SYSTEMS, v.127, no.1, pp.3 - 16

ISSN
0165-0114
URI
http://hdl.handle.net/10203/85968
Appears in Collection
EE-Journal Papers(저널논문)
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