State based potential games

Automatica

Volumn 48, Issue 12, 2012, Pages 3075-3088

  Marden, Jason R ^a  

^a UNIVERSITY OF COLORADO   (United States)

Author keywords

Distributed control; Game theory; Resource allocation

Indexed keywords

CO-OPERATIVE CONTROL; DEGREE OF FREEDOM; DESIGN AND CONTROL; DISTRIBUTED CONTROL; DISTRIBUTED CONTROL LAW; DISTRIBUTED RESOURCE ALLOCATION; FINITE MEMORY; GAME-THEORETIC; GROUP BEHAVIOR; INHERENT LIMITATIONS; LIMITING BEHAVIOR; POTENTIAL GAMES; STATE SPACE; SYSTEM DESIGNERS;

LEARNING ALGORITHMS; MULTI AGENT SYSTEMS; RESOURCE ALLOCATION;

GAME THEORY;

EID: 84869487929     PISSN: 00051098     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.automatica.2012.08.037     Document Type: Article

References (34)

1. C. Alos-Ferrer, and N. Netzer The logit-response dynamics Games and Economic Behavior 68 2010 413 427
2. G. Arslan, J.R. Marden, and J.S. Shamma Autonomous vehicle-target assignment: a game theoretical formulation ASME Journal of Dynamic Systems, Measurement and Control 129 2007 584 596
3. Arslan, G.; & Shamma, J.S. (2004). Distributed convergence to Nash equilibria with local utility measurements. In 43rd IEEE conference on decision and control(pp. 1538-1543).
4. L. Blume The statistical mechanics of strategic interaction Games and Economic Behavior 5 1993 387 424
5. L. Blume Population games B. Arthur, S. Durlauf, D. Lane, The economy as an evolving complex system II 1997 Addison-Wesley Reading, MA 425 460
6. Chen, H-L.; Roughgarden, T.; & Valiant, G. (2008). Designing networks with good equilibria. In Proceedings of the nineteenth annual ACM-SIAM symposium on discrete algorithms (pp. 854-863).
7. D. Fudenberg, and D. Levine The theory of learning in games 1998 MIT Press Cambridge, MA
8. R. Gopalakrishnan, J.R. Marden, and A. Wierman An architectural view of game theoretic control ACM SIGMETRICS Performance Evaluation Review 38 3 2011 31 36
9. S. Katti, D. Katabi, W. Hu, H. Rahul, and M. Médard The importance of being opportunistic: practical network coding for wireless environments 43rd allerton annual conference on communications, control, and computing 2005 IEEE Monticello,IL Invited paper
10. Li, N.; & Marden, J.R. (2010). Designing games to handle coupled constraints. In Proceedings of the 48th IEEE conference on decision and control. December.
11. Li, N.; & Marden, J.R. (2011). Designing games for distributed optimization. In Proceedings of the 49th IEEE conference on decision and control. December.
12. J.R. Marden, G. Arslan, and J.S. Shamma Connections between cooperative control and potential games IEEE Transactions on Systems, Man and Cybernetics. Part B: Cybernetics 39 2009 1393 1407
13. J.R. Marden, G. Arslan, and J.S. Shamma Joint strategy fictitious play with inertia for potential games IEEE Transactions on Automatic Control 54 2009 208 220
14. Marden, J.R.; Arslan, G.; & Shamma, J.S. (2007). Regret based dynamics: convergence in weakly acyclic games. In Proceedings of the 2007 international conference on autonomous agents and multiagent systems, AAMAS. Honolulu, Hawaii. May.
15. J.R. Marden, and J.S. Shamma Revisiting log-linear learning: asynchrony, completeness and a payoff-based implementation Games and Economic Behavior 75 2012 788 808
16. Marden, J.R.; & Wierman, A. (2008). Distributed welfare games with applications to sensor coverage. In Proceedings of the 46th IEEE conference on decision and control. December.
17. Marden, J.R.; & Wierman, A. (2009). Overcoming limitations of game-theoretic distributed control. In Proceedings of the 47th IEEE conference on decision and control. December.
18. J.R. Marden, H.P. Young, G. Arslan, and J.S. Shamma Payoff based dynamics for multi-player weakly acyclic games SIAM Journal on Control and Optimization 48 2009 373 396
19. S. Martinez, J. Cortes, and F. Bullo Motion coordination with distributed information Control Systems Magazine 27 4 2007 75 88
20. D. Monderer, and L. Shapley Potential games Games and Economic Behavior 14 1996 124 143
21. R.A. Murphey Target-based weapon target assignment problems P.M. Pardalos, L.S. Pitsoulis, Nonlinear assignment problems: algorithms and applications 1999 Kluwer Academic Alexandra, Virginia 39 53
22. R. Olfati-Saber, J.A. Fax, and R.M. Murray Consensus and cooperation in networked multi-agent systems Proceedings of the IEEE 2007
23. Pao, L.; & Johnson, K.E. (2009). A tutorial on the dynamics and control of wind turbines and wind farms. In Proceedings of the 2009 american control conference.
24. B.R. Pradelski, and H.P. Young "Learning Efficient Nash Equilibria in Distributed Systems" (with Bary S.R. Pradelski) Games and Economic Behavior 75 2012 882 897
25. T. Roughgarden Selfish routing and the price of anarchy 2005 MIT Press Cambridge, MA, USA
26. D. Shah, and J. Shin Dynamics in congestion games ACM SIGMETRICS 2010
27. J.S. Shamma, and G. Arslan Dynamic fictitious play, dynamic gradient play, and distributed convergence to Nash equilibria IEEE Transactions on Automatic Control 50 3 2005 312 327
28. L.S. Shapley Stochastic games Proceedings of the National Academy of Sciences of the United States of America 39 10 1953 1095 1100
29. Tsitsiklis, J.N. (1987). Decentralized detection by a large number of sensors. Technical report. MIT, LIDS.
30. D. Wolpert, and K. Tumor An overview of collective intelligence J.M. Bradshaw, Handbook of agent technology 1999 AAAI Press/MIT Press
31. H.P. Young Individual strategy and social structure 1998 Princeton University Press Princeton, NJ
32. H.P. Young Strategic learning and its limits 2005 Oxford University Press
33. H.P. Young The evolution of conventions Econometrica 61 1 1993 57 84
34. H.P. Young Learning by trial and error Games and Economic Behavior 65 2009 626 643