Abstract
This chapter discusses a computational model for collective problem solving that enables distributed individuals to describe a complex problem and to explore possible solutions. In this case, crowdsourcing is applied to the whole process of problem solving. Contributors will be involved in defining and decomposing problems in addition to finding and evaluating potential solutions. The goal of this chapter is to introduce tools for a particular kind of collective action—one in which contributors collaborate to solve problems in which they have a personal interest or stake.
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Notes
- 1.
Example of Means-Ends Analysis, Rutgers University. http://www-rci.rutgers.edu/ cfs/472_html/Planning/GPS_472.html
- 2.
Based on a semantic network at http://en.wikipedia.org/wiki/Semantic_network, accessed 3/10/13.
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Acknowledgements
Without the thoughtful contributions from Thomas Young, Pietro Michelucci, George Luger, Joe Kniss, Melanie Moses, and Steven Garcia, this work would not have been possible.
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Greene, K.A., Young, T.A. (2013). Building Blocks for Collective Problem Solving. In: Michelucci, P. (eds) Handbook of Human Computation. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8806-4_28
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DOI: https://doi.org/10.1007/978-1-4614-8806-4_28
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