[Abstract] This talk presents several novel ideas on how to understand social interaction as an intelligent computing phenomena, proposing a taxonomy of social systems regarding intelligent behavior that may be useful to set the stage. A key distinction between unconscious and subconscious computing is drawn. Two instances of systems, which are in diverse stages of development, showing subconscious social intelligent computing are discussed.
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[Biography] Manuel Graña is currently full professor at the Computer Science and Artificial Intelligence of the University of the Basque Country (UPV/EHU), in the Facultad de Informatica in San Sebastian. His research interests include Machine Learning and Patter Recognition, Medical Image Processing and Computer Aided Diagnosis systems, Mobile Robot Navigation, Multi-Agent Systems with natural inspiration, Social Network innovations via Computational Intelligence. The development of Lattice Computing approaches in those domains is his principled research endeavor. He is member of MIR Labs, IEEE and ACM. He has chaired three international conferences (IWANN 2007, HAI 2010, KES 2012). He has been editor of more than ten books. He has been advisor of more than twenty successful doctoral students. He has coauthored over one hundred papers in impact research journals. |
