2007 40th Annual Hawaii International Conference on System Sciences (HICSS'07) (2007)
Big Island, Hawaii
Jan. 3, 2007 to Jan. 6, 2007
Marko A. Rodriguez , Los Alamos National Laboratory, Los Alamos, New Mexico
Daniel J. Steinbock , Stanford University, Stanford, California
Jennifer H. Watkins , Los Alamos National Laboratory, Los Alamos, New Mexico
Carlos Gershenson , Vrije Universiteit Brussel, Brussel, Belgium
Johan Bollen , Los Alamos National Laboratory, Los Alamos, New Mexico
Victor Grey , 2idi Corporation, Concord, California 94524
Brad deGraf , Media Venture Collective, Mill Valley, California
Smartocracy is a social software system for collective decision making. The system is composed of a social network that links individuals to those they trust to make good decisions and a decision network that links individuals to their voted-on solutions. Such networks allow a variety of algorithms to convert the link choices made by individual participants into specific decision outcomes. Simply interpreting the linkages differently (e.g. ignoring trust links, or using them to weight an individual?s vote) provides a variety of outcomes fit for different decision making scenarios. This paper will discuss the Smartocracy network data structures, the suite of collective decision making algorithms currently supported, and the results of two collective decisions regarding the design of the system.
M. A. Rodriguez et al., "Smartocracy: Social Networks for Collective Decision Making," 2007 40th Annual Hawaii International Conference on System Sciences (HICSS'07)(HICSS), Big Island, Hawaii, 2007, pp. 90b.