Slow Intelligence Systems

Special Session in

The 16th International Conference on Distributed Multimedia Systems (DMS 2010)

Hyatt Lodge at McDonald's Campus, Oak Brook, Illinois, USA October 14 to October 16, 2010
(URL: http://www.ksi.edu/seke/dms10.html)
Organized by Knowledge Systems Institute, U.S.A.


A slow intelligence system is a system that (i) solves problems by trying different solutions, (ii) is context-aware to adapt to different situations and to propagate knowledge, and (iii) may not perform well in the short run but continuously learns to improve its performance over time. A slow intelligence system has multiple decision cycles such that actions of slow decision cycles may override actions of quick decision cycles, resulting in poorer performance in the short run but better performance in the long run.

Not all intelligent systems have fast intelligence. There are a large number of intelligent systems, quasi-intelligent systems and semi-intelligent systems that have slow intelligence. Such slow intelligence systems are often neglected in mainstream research on intelligent systems.

This session focuses on paper submissions on working as well as on research slow intelligence technologies. Topics might include, but are not limited to, the following:

Study of slow intelligence systems such as ecological systems and social networks, Design of artificial slow intelligence systems, effects of multiple decision cycles and system architecture, evolutionary onotology, knowledge propagation rules, prototype implementation, and visual analytics and visual semantics for slow intelligence systems.

The 16th International Conference on Distributed Multimedia systems (DMS 2010) will be held at Hyatt Lodge at McDonald's Campus, Oak Brook, Illinois, USA October 14 to October 16, 2010

The deadline for paper submission is April 30, 2010. Other relevant information about the conference as well as how to submit papers can be found on

http://www.ksi.edu/seke/dms10.html

Question can also be sent to the session chair.

SUBMISSION GUIDELINES

Papers are submitted through the conference paper submission website listed below. Please select the "Slow Intelligence Systems - Chang" which will appear in the pull-down menu for paper type menu appearing in the Paper Submission Form (http://conf.ksi.edu/dms10/submit/SubmitPaper.php).

SESSION CHAIRS

Shi-Kuo Chang (chang@cs.pitt.edu), University of Pittsburgh, USA

IMPORTANT DATES