Learning Control Systems-Review and Outlook
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special memorial issue for Professor King-Sun Fu
Intelligent robotic systems: theory, design and applications
Intelligent robotic systems: theory, design and applications
Fuzzy logic, neural networks, and soft computing
Communications of the ACM
Applications of fuzzy logic: towards high machine intelligence quotient systems
Applications of fuzzy logic: towards high machine intelligence quotient systems
A genetic algorithm for determining nonadditive set functions in information fusion
Fuzzy Sets and Systems - Special issue on fuzzy measures and integrals
On Intelligent Robot Motion Planning via Learning
Journal of Intelligent and Robotic Systems
Experiencing Modeling and Development of an Intelligent Autonomous Robot
EUROCAST '97 Proceedings of the A Selection of Papers from the 6th International Workshop on Computer Aided Systems Theory
A graphical interpretation of the Choquet integral
IEEE Transactions on Fuzzy Systems
How universal can an intelligence test be?
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
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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.