Collective intelligence for control of distributed dynamical systems

Keywords

Computer science, Dynamical systems theory, Game theory, Collective intelligence, Bar (unit)

References

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• The Mixed Strategy Equilibria and Adaptive Dynamics in the Bar ProblemJohn Q. Cheng — 1996
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• Volatility and agent adaptability in a self-organizing marketN.F. Johnson, S. Jarvis, R. Jonson — 1998
• Improving Elevator Performance Using Reinforcement LearningRobert H. Crites, Andrew G. Barto — 1995
• Using Collective Intelligence to Route Internet TrafficDavid H. Wolpert, Kagan Tumer, Jeremy Frank — 1998
• An Introduction to Collective IntelligenceDavid H. Wolpert, Kagan Tumer — 1999
• Tragedy of the CommonsGarret Hardin — 1968
• The Tragedy of the Commons*Garrett Hardin — 2009
• Complexity in economic theory: inductive reasoning and bounded rationalityW. Arthur — 1994
• On the minority game: Analytical and numerical studiesDamien Challet, Yi‐Cheng Zhang
• Volatility and agent adaptability in a self-organizing marketN. F. Johnson, S. Jarvis, R. Jonson — 1998

Cited by

• Distributed optimization and flight control using collectivesIlan M. Kroo, Stefan Bieniawski — 2005
• Time-Extended Payoffs for Collectives of Autonomous AgentsKagan Tumer, Adrian Agogino — 2002
• Improving Simulated Annealing by Replacing Its Variables with Game-Theoretic Utility MaximizersDavid H. Wolpert, Esfandiar Bandari, Kagan Tumer — 2001
• Intelligent Coordinates and Collective Intelligence: A case study in improving Simulated Annealing in the bin-packing domainC. A. Mattmann, Paul Ramirez — 2003
• Reinforcement Learning in Distributed Domains: Beyond Team GamesDavid H. Wolpert, Joseph Sill, Kagan Tumer — 2001
• Competitive scenarios, community responses and organisational implicationsFabio Boschetti, Markus Brede — 2009
• Product Distribution Field TheoryDavid H. Wolpert — 2003
• Product Distribution Theory and Semi-Coordinate TransformationsStéphane Airiau, David H. Wolpert — 2004
• Distributed reinforcement learning for network intrusion responseKleanthis Malialis — 2014
• Reinforcement learning for qualitative group behaviours applied to non-player computer game charactersJay Bradley — 2010
• Team Formation in Partially Observable Multi-Agent SystemsAdrian Agogino, Kagan Tumer — 2004
• On the model design of integrated intelligent big data analytics systemsKun Chen, Xin Li, Huaiqing Wang — 2015
• Distributed Constrained Optimization with Semicoordinate TransformationsWilliam G. Macready, David H. Wolpert — 2008
• Multi-agent reward analysis for learning in noisy domainsAdrian Agogino, Kagan Turner — 2005
• Co-evolutionary classifier systems for multi-agent simulationLuis Miramontes Hercog, Terence C. Fogarty — 2002
• The value of less connected agents in Boolean networksDaniel A. Epstein, Ana L. C. Bazzan — 2013
• Robustness of stochastic stability in game theoretic learningYusun Lim, Jeff S. Shamma — 2013
• Improving resource exploitation via collective intelligence by assessing agents' impact on the community outcomeFabio Boschetti — 2007
• Designing agent collectives for systems with markovian dynamicsDavid H. Wolpert, John W. Lawson — 2002
• Handling Communication Restrictions and Team Formation in Congestion GamesAdrian Agogino, Kagan Tumer — 2006

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