Social Decision Making with Semantic Networks and Grammar-based Particle-Swarms
Social decision support systems are able to aggregate the local perspectives of a diverse group of individuals into a global social decision. This paper presents a multi-relational network ontology and grammar-based particle swarm algorithm capable of aggregating the decisions of millions of individuals. This framework supports a diverse problem space and a broad range of vote aggregation algorithms. These algorithms account for individual expertise and representation across different domains of the group problem space. Individuals are able to pose and categorize problems, generate potential solutions, choose trusted representatives, and vote for particular solutions. Ultimately, via a social decision making algorithm, the system aggregates all the individual votes into a single collective decision.
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Social Decision Making with Semantic Networks and Grammar-based Particle-Swarms
- 1. Social Decision Making with Semantic Networks and Grammar-based Particle-Swarms Marko A. Rodriguez Los Alamos National Laboratory http://cdms.lanl.gov
- 4. General Vote System Model Direct Democracy Majority Wins
- 5. General Vote System Model Social networks to support fluctuating levels of participation
- 9. Social Network Ontology h_0 believes that h_2 will make a “good” decision. NOT USED - “warm up example”
- 10. Social Network Ontology h_0 believes that h_2 will make a “good” decision in the domain of economics , but not in the domain of politics . NOT USED - “warm up example” d_1 = economics d_0 = politics
- 11. Social Network Ontology h_0 believes that h_2 will make a “good” decision in the domain of d_1 ( economics ), but not in the domain of d_0 ( politics ). NOT USED - “warm up example”
- 12. Social Network Ontology h_0 believes that h_2 will make a “good” decision in the domain d_1 ( economics ) and furthermore, that d_0 ( politics ) is similar to d_1.
- 14. Decision Network Ontology h_1 created problem p_0. h_0 proposed s_0 as a potential solution to p_0. h_2 categorized p_0 as in the domain d_0 and has voted on proposed solution s_2.
- 17. Grammar-Based Particles Particle Direct Democracy
- 18. Grammar-Based Particles Particle Dynamically Distributed Democracy
- 19. Grammar-Based Particles Dynamically Distributed Democracy Rodriguez, M.A., Steinbock, D.J., “Societal-Scale Decision Making with Social Networks”, NACSOS, 2004.
- 21. Conclusion http://cdms.lanl.gov/ http://www.soe.ucsc.edu/~okram/ http://en.wikipedia.org/wiki/Dynamically_Distributed_Democracy