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Human Swarms, a real-time method for collective intelligence

Abstract: 
Real-time, human-based collective intelligence platforms create a new method for groups to make decisions and resolve dilemmas. The platform operates on the principle of "swarm" intelligence - the collective behavior of decentralized, self-organized systems, natural or artificial. The group converges to a "best answer" through the aggregate knowledge and a feedback system, which may be optimal compared to polling or unilateral decision making. When applied to sustainability, it allows for self-organized ruling and decision-making, that ultimately better internalizes all group interests' (economics, environment, development, etc.), and potentially better responses than indirect methods like the market.
Author: 
Louis B. Rosenberg
Institution: 
Unanimous A.I., San Francisco, California, USA
Year: 
2015
Input By: 
Daniel Kilcoyne
Affiliation: 
MIT
Dimensions-Problem/Solution: 
Region(s): 
Industry Focus: 
Information & Telecommunication
Datatype(s): 
Models
Theory/Definition