Identification of Complex Systems through Reduced Paths Using the Spiral Discovery Method

Csapó, Ádám Balázs and Baranyi, Péter Zoltán and Várlaki, Péter (2013) Identification of Complex Systems through Reduced Paths Using the Spiral Discovery Method. In: INES 2013 – 17th International Conference on Intelligent Engineering Systems, 2013-06-19 - 2013-06-21, San Jose, Costa Rica.

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Control theories of cognitive systems are gaining relevance as a result of two driving forces: the desire to create artificial cognitive systems, and the desire to influence or control biological ones. This paper introduces the Spiral Discovery Method (SDM) in a new context, with the goal of facilitating reduced path parameter identification of black-box systems. The approach appeals to human cognitive capabilities in that it reduces the number of possible interaction parameters, and in that it introduces a cyclical structure to the search path which helps in reducing the cognitive load associated with the search process. The proposed approach is demonstrated through a rudimentary parameter identification scenario, and future directions are discussed. © 2013 IEEE.

Item Type: Conference or Workshop Item (-)
Uncontrolled Keywords: Cognitive systems, Industrial engineering, Engineering, Search process, Interaction parameters, Driving forces, Cognitive loads, Cognitive capability, Black box system
Subjects: Q Science > QA Mathematics and Computer Science > QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány
Divisions: 3D Internet-based Control and Communications Laboratory
Depositing User: EPrints Admin
Date Deposited: 05 Feb 2014 12:32
Last Modified: 05 Feb 2014 15:46

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