Identification of complex systems through reduced paths using the Spiral Discovery Method

Adam Csapo, P. Baranyi, P. Várlaki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationINES 2013 - IEEE 17th International Conference on Intelligent Engineering Systems, Proceedings
Pages91-96
Number of pages6
DOIs
Publication statusPublished - 2013
Event17th IEEE International Conference on Intelligent Engineering Systems, INES 2013 - San Jose, Costa Rica
Duration: Jun 19 2013Jun 21 2013

Other

Other17th IEEE International Conference on Intelligent Engineering Systems, INES 2013
CountryCosta Rica
CitySan Jose
Period6/19/136/21/13

Fingerprint

Cognitive systems
Large scale systems
Identification (control systems)
Control theory

ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Systems Engineering

Cite this

Csapo, A., Baranyi, P., & Várlaki, P. (2013). Identification of complex systems through reduced paths using the Spiral Discovery Method. In INES 2013 - IEEE 17th International Conference on Intelligent Engineering Systems, Proceedings (pp. 91-96). [6632789] https://doi.org/10.1109/INES.2013.6632789

Identification of complex systems through reduced paths using the Spiral Discovery Method. / Csapo, Adam; Baranyi, P.; Várlaki, P.

INES 2013 - IEEE 17th International Conference on Intelligent Engineering Systems, Proceedings. 2013. p. 91-96 6632789.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Csapo, A, Baranyi, P & Várlaki, P 2013, Identification of complex systems through reduced paths using the Spiral Discovery Method. in INES 2013 - IEEE 17th International Conference on Intelligent Engineering Systems, Proceedings., 6632789, pp. 91-96, 17th IEEE International Conference on Intelligent Engineering Systems, INES 2013, San Jose, Costa Rica, 6/19/13. https://doi.org/10.1109/INES.2013.6632789
Csapo A, Baranyi P, Várlaki P. Identification of complex systems through reduced paths using the Spiral Discovery Method. In INES 2013 - IEEE 17th International Conference on Intelligent Engineering Systems, Proceedings. 2013. p. 91-96. 6632789 https://doi.org/10.1109/INES.2013.6632789
Csapo, Adam ; Baranyi, P. ; Várlaki, P. / Identification of complex systems through reduced paths using the Spiral Discovery Method. INES 2013 - IEEE 17th International Conference on Intelligent Engineering Systems, Proceedings. 2013. pp. 91-96
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