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Distributed Collective Decision Making: From Ballot to Market Marko A. Rodriguez  (1) Jennifer H. Watkins  (2) (1)  Digital Library Research & Prototyping Team (2)  Socio-Political Dynamics Team Los Alamos National Laboratory (1)  [email_address] (2)  [email_address] http://cdms.lanl.gov Discovery Workshop:  Applying Complexity Science to Organizational Design and Multistakeholder Systems
Overview Collective Decision Making Systems Dynamically Distributed Democracy Prediction Markets Conclusion
Overview Collective Decision Making Systems Dynamically Distributed Democracy Prediction Markets Conclusion
The History of Computer-Mediated Decision Making. ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
What is a Collective Decision Making System? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Taxonomy of Collective Decision Making Systems
Overview Collective Decision Making Systems Dynamically Distributed Democracy Prediction Markets Conclusion
The Problem of Fluctuating Levels of Participation. ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Direct Democracy. ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],= active participant
The Trust-Based Social Network for Voting Systems. ,[object Object],[object Object],[object Object],[object Object],[object Object]
Dynamically Distributed Democracy. 1 1 1 1
Dynamically Distributed Democracy. 1.75 1.25 1
Dynamically Distributed Democracy. 2.5 1.5
Dynamically Distributed Democracy. ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],= active participant
Direct Democracy vs. Dynamically Distributed Democracy. ,[object Object],1 voter. 1000 voters. DDD DD
The Problem of Human Diversity in Voting Systems. ,[object Object],[object Object]
DDD in the Real-World. ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Overview Collective Decision Making Systems Dynamically Distributed Democracy Prediction Markets Conclusion
The Problem of Forecasting. ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
The Components of a Prediction Market. ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
A Prediction Market. Human A Y  = 100% N  = 0% Human B Y  = 70% N  = 30% Human C Y  = 45% N  = 55% $2.00 $2.00 $2.00 Bids Asks Y  = $null  N = $null $0.00 “ Will X happen?  Y es or  N o.”
A Prediction Market. Human A Y  = 100% N  = 0% Human B Y  = 70% N  = 30% Human C Y  = 45% N  = 55% Y N Y N Y N $1.00 $1.00 $1.00 Bids Asks Y  = $0.50  N = $0.50 $3.00
A Prediction Market. Human A Y  = 100% N  = 0% Human B Y  = 70% N  = 30% Human C Y  = 45% N  = 55% Y N Y N Y N $1.00 $1.00 $1.00 Bids Asks Y  = $0.50  N = $0.50 $3.00 Human A: “Buying Y for $0.60” Human B: “Buying Y for $0.70”
A Prediction Market. Human A Y  = 100% N  = 0% Human B Y  = 70% N  = 30% Human C Y  = 45% N  = 55% Y N Y N Y N $1.00 $1.00 $1.00 Bids Asks Y  = $0.50  N = $0.50 $3.00 Human A: “Buying Y for $0.60” Human B: “Buying Y for $0.70” Human C: “Selling Y for $0.70”
A Prediction Market. Y Human A Y  = 100% N  = 0% Human B Y  = 70% N  = 30% Human C Y  = 45% N  = 55% Y N Y N N $1.00 $0.30 $1.70 Bids Asks Y  = $0.70  N = $0.50 $3.00 Human A: “Buying Y for $0.60”
A Prediction Market. Y Human A Y  = 100% N  = 0% Human B Y  = 70% N  = 30% Human C Y  = 45% N  = 55% Y N Y N N $1.00 $0.30 $1.70 Bids Asks Y  = $0.58  N = $0.42 $3.00 Human A: “Buying Y for $0.60”
A Prediction Market. Y Human A Y  = 100% N  = 0% Human B Y  = 70% N  = 30% Human C Y  = 45% N  = 55% Y N Y N N $1.00 $0.30 $1.70 Bids Asks Y  = $0.58  N = $0.42 $3.00 Human A: “Buying Y for $0.90” Human C: “Buying N for $0.45”
A Prediction Market. Human A Y  = 100% N  = 0% Human B Y  = 70% N  = 30% Human C Y  = 45% N  = 55% Y N Y N $1.00 $0.30 $1.70 Bids Asks Y  = $0.58  N = $0.42 $3.00 Human A: “Buying Y for $0.90” Human C: “Buying N for $0.45” Y Human B: “Selling Y for $0.90” N Human B: “Selling N for $0.45”
A Prediction Market. Y N Human A Y  = 100% N  = 0% Human B Y  = 70% N  = 30% Human C Y  = 45% N  = 55% Y N Y N $0.10 $1.65 $1.25 Bids Asks Y  = $0.90  N = $0.45 $3.00
A Prediction Market. Y N Human A Y  = 100% N  = 0% Human B Y  = 70% N  = 30% Human C Y  = 45% N  = 55% Y N Y N $0.10 $1.65 $1.25 Bids Asks Y  = $0.66  N = $0.33 $3.00
A Prediction Market. Y N Human A Y  = 100% N  = 0% Human B Y  = 70% N  = 30% Human C Y  = 45% N  = 55% Y N Y N $0.10 $1.65 $1.25 Bids Asks Y  = $0.66  N = $0.33 $3.00
A Prediction Market. N Human A Y  = 100% N  = 0% Human B Y  = 70% N  = 30% Human C Y  = 45% N  = 55% N N $2.10 $2.65 $1.25 Bids Asks Y  = $0.66  N = $0.33 $0.00
Prediction Markets in the Real-World. ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Overview Collective Decision Making Systems Dynamically Distributed Democracy Prediction Markets Conclusion
Related Publications. ,[object Object],[object Object],[object Object],[object Object],[object Object]
Questions? http:// c d m s .lanl.gov [email_address] [email_address]

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Distributed Collective Decision Making: From Ballot to Market

  • 1. Distributed Collective Decision Making: From Ballot to Market Marko A. Rodriguez (1) Jennifer H. Watkins (2) (1) Digital Library Research & Prototyping Team (2) Socio-Political Dynamics Team Los Alamos National Laboratory (1) [email_address] (2) [email_address] http://cdms.lanl.gov Discovery Workshop: Applying Complexity Science to Organizational Design and Multistakeholder Systems
  • 2. Overview Collective Decision Making Systems Dynamically Distributed Democracy Prediction Markets Conclusion
  • 3. Overview Collective Decision Making Systems Dynamically Distributed Democracy Prediction Markets Conclusion
  • 4.
  • 5.
  • 6. Taxonomy of Collective Decision Making Systems
  • 7. Overview Collective Decision Making Systems Dynamically Distributed Democracy Prediction Markets Conclusion
  • 8.
  • 9.
  • 10.
  • 14.
  • 15.
  • 16.
  • 17.
  • 18. Overview Collective Decision Making Systems Dynamically Distributed Democracy Prediction Markets Conclusion
  • 19.
  • 20.
  • 21. A Prediction Market. Human A Y = 100% N = 0% Human B Y = 70% N = 30% Human C Y = 45% N = 55% $2.00 $2.00 $2.00 Bids Asks Y = $null N = $null $0.00 “ Will X happen? Y es or N o.”
  • 22. A Prediction Market. Human A Y = 100% N = 0% Human B Y = 70% N = 30% Human C Y = 45% N = 55% Y N Y N Y N $1.00 $1.00 $1.00 Bids Asks Y = $0.50 N = $0.50 $3.00
  • 23. A Prediction Market. Human A Y = 100% N = 0% Human B Y = 70% N = 30% Human C Y = 45% N = 55% Y N Y N Y N $1.00 $1.00 $1.00 Bids Asks Y = $0.50 N = $0.50 $3.00 Human A: “Buying Y for $0.60” Human B: “Buying Y for $0.70”
  • 24. A Prediction Market. Human A Y = 100% N = 0% Human B Y = 70% N = 30% Human C Y = 45% N = 55% Y N Y N Y N $1.00 $1.00 $1.00 Bids Asks Y = $0.50 N = $0.50 $3.00 Human A: “Buying Y for $0.60” Human B: “Buying Y for $0.70” Human C: “Selling Y for $0.70”
  • 25. A Prediction Market. Y Human A Y = 100% N = 0% Human B Y = 70% N = 30% Human C Y = 45% N = 55% Y N Y N N $1.00 $0.30 $1.70 Bids Asks Y = $0.70 N = $0.50 $3.00 Human A: “Buying Y for $0.60”
  • 26. A Prediction Market. Y Human A Y = 100% N = 0% Human B Y = 70% N = 30% Human C Y = 45% N = 55% Y N Y N N $1.00 $0.30 $1.70 Bids Asks Y = $0.58 N = $0.42 $3.00 Human A: “Buying Y for $0.60”
  • 27. A Prediction Market. Y Human A Y = 100% N = 0% Human B Y = 70% N = 30% Human C Y = 45% N = 55% Y N Y N N $1.00 $0.30 $1.70 Bids Asks Y = $0.58 N = $0.42 $3.00 Human A: “Buying Y for $0.90” Human C: “Buying N for $0.45”
  • 28. A Prediction Market. Human A Y = 100% N = 0% Human B Y = 70% N = 30% Human C Y = 45% N = 55% Y N Y N $1.00 $0.30 $1.70 Bids Asks Y = $0.58 N = $0.42 $3.00 Human A: “Buying Y for $0.90” Human C: “Buying N for $0.45” Y Human B: “Selling Y for $0.90” N Human B: “Selling N for $0.45”
  • 29. A Prediction Market. Y N Human A Y = 100% N = 0% Human B Y = 70% N = 30% Human C Y = 45% N = 55% Y N Y N $0.10 $1.65 $1.25 Bids Asks Y = $0.90 N = $0.45 $3.00
  • 30. A Prediction Market. Y N Human A Y = 100% N = 0% Human B Y = 70% N = 30% Human C Y = 45% N = 55% Y N Y N $0.10 $1.65 $1.25 Bids Asks Y = $0.66 N = $0.33 $3.00
  • 31. A Prediction Market. Y N Human A Y = 100% N = 0% Human B Y = 70% N = 30% Human C Y = 45% N = 55% Y N Y N $0.10 $1.65 $1.25 Bids Asks Y = $0.66 N = $0.33 $3.00
  • 32. A Prediction Market. N Human A Y = 100% N = 0% Human B Y = 70% N = 30% Human C Y = 45% N = 55% N N $2.10 $2.65 $1.25 Bids Asks Y = $0.66 N = $0.33 $0.00
  • 33.
  • 34. Overview Collective Decision Making Systems Dynamically Distributed Democracy Prediction Markets Conclusion
  • 35.
  • 36. Questions? http:// c d m s .lanl.gov [email_address] [email_address]