Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 30184
Definition of Cognitive Infocommunications and an Architectural Implementation of Cognitive Infocommunications Systems

Authors: Peter Baranyi, Gyorgy Persa, Adam Csapo

Abstract:

Cognitive Infocommunications (CogInfoCom) is a new research direction which has emerged as the synergic convergence of infocommunications and the cognitive sciences. In this paper, we provide the definition of CogInfoCom, and propose an architectural framework for the interaction-oriented design of CogInfoCom systems. We provide the outlines of an application example of the interaction-oriented architecture, and briefly discuss its main characteristics.

Keywords: Cognitive infocommunications, CogInfoCom, Cognitive Infocommunication Channels, CogInfoCom channels

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1079734

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1348

References:


[1] P. Baranyi and A. Csapo, "Cognitive infocommunications: Coginfocom," in Computational Intelligence and Informatics (CINTI), 2010 11th International Symposium on, 2010, pp. 141 -146.
[2] B. Preissl and J. Muller, Governance of Communication Networks: Connecting Societies and Markets with IT. Physica-Verlag HD, 1979.
[3] G. Sallai, "Converging information, communication and media technologies," in Assessing Societal Implications of Converging Technological Development, G. Banse, Ed. Edition Sigma, Berlin, 2007, pp. 25-43.
[4] M. Recker, A. Ram, T. Shikano, G. Li, and J. Stasko, "Cognitive media types for multimedia information access," Journal of Educational Multimedia and Hypermedia, vol. 4, no. 2-3, pp. 183-210, 1995.
[5] R. Kozma, "Learning with media," Review of Educational Research, vol. 61, no. 2, pp. 179-212, 1991.
[6] Y. Wang and W. Kinsner, "Recent advances in cognitive informatics," IEEE Transactions on Systems, Man and Cybernetics, vol. 36, no. 2, pp. 121-123, 2006.
[7] Y. Wang, "The theoretical framework of cognitive informatics," International Journal of Cognitive Informatics and Natural Intelligence, vol. 1, no. 1, pp. 1-27, 2007.
[8] D. Vernon, G. Metta, and G. Sandini, "A survey of artificial cognitive systems: Implications for the autonomous development of mental capabilities in computational agents," IEEE Transactions on Evolutionary Computation, vol. 11, no. 2, pp. 151-179, 2007.
[9] J. Roschelle, "Designing for cognitive communication: epistemic fidelity or mediating collaborative inquiry?" in Computers, communication and mental models. Taylor & Francis, 1996, pp. 15-27.
[10] D. Hewes, The Cognitive Bases of Interpersonal Communication. Routledge, 1995.
[11] C. Szabo, A. Roka, M. Gacsi, A. Miklosi, P. Baranyi, and P. Korondi, "An emotional engine model inspired by human-dog interaction," in IEEE International Conference on Robotics and Biomimetics, 2010, pp. 567-572.
[12] M. Mori, "Bukimi no tani (uncanny valley effect)," Energy, vol. 7, no. 4, pp. 33-35, 1970.
[13] A. Kerepesi, E. Kubinyi, G. Jonsson, M. Magnusson, and A. Miklosi, "Behavioural comparison of human-animal (dog) and human-robot (aibo) interactions," Behavioural Processes, vol. 73, pp. 92-99, 2006.
[14] D. Syrdal, K. Dautenhahn, K. Koay, M. Walters, and N. Otero, "Exploring human mental models of robots through explicitation interviews," in RO-MAN 2010, 2010, pp. 638-645.