Modified snowdrift games for multi-robot water polo matches

Proceedings of the 2012 24th Chinese Control and Decision Conference, CCDC 2012

Volumn , Issue , 2012, Pages 164-169

  Wang, Chen ^a,b   Wu, Bin ^b   Cao, Ming ^a   Xie, Guangming ^b  

^a UNIVERSITY OF GRONINGEN   (Netherlands)

^b PEKING UNIVERSITY   (China)

Author keywords

ESS; evolutionary game theory; Multi robot coordination; robotic water polo; snowdrift game

Indexed keywords

CO-EVOLUTION; ESS; EVOLUTION OF COOPERATION; EVOLUTIONARILY STABLE STRATEGY; EVOLUTIONARY GAME THEORY; EVOLUTIONARY STABILITY; FINITE POPULATION; GAME-THEORETIC; MULTI-ROBOT COORDINATION; MULTIROBOTS; REPLICATOR DYNAMICS; SNOWDRIFT GAMES;

DYNAMICS; EFFICIENCY; GAME THEORY; INDUSTRIAL ROBOTS;

MULTIPURPOSE ROBOTS;

EID: 84866709515     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CCDC.2012.6242927     Document Type: Conference Paper

References (18)

1. F. Bullo, J. Cortes, and S. Martinez. Distributed Control of Robotic Networks. Princeton University Press, Princeton, 2009.
2. C. Wang, M. Cao, and G. Xie. Antiphase formation swimming for autonomous robotic fish. In Proc. of the 18th IFAC World Congress, volume 18, pages 7830-7835, 2011.
3. T. Balch and R. C. Arkin. Behavior-based formation control for multirobot teams. IEEE Transactions on Robotics and Automation, 14:926-939, 1998.
4. J. L. Baxter, E. K. Burke, J. M. Garibaldi, and M. Norman. Multi-robot search and rescue: A potential field based approach. Autonomous Robots and Agents, 76:9-16, 2007.
5. P. Stone. Layered learning in multiagent systems: A winning approach to robotic soccer. Ph.D. Thesis, School of Computer Science, Carnegie Mellon University, 1998.
6. L. Busoniu, R. Babuska, and B. D. Schutter. A comprehensive survey of multiagent reinforcement learning. IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, 38:156-172, 2008.
7. W. Zhao, Y. Hu, G. Xie, L. Wang, and Y. Jia. Development of vision-based autonomous robotic fish and its application in water-polo-attacking task. In Proc. of the 2008 American Control Conference (ACC), pages 568-573, 2008.
8. P. E. Turner and L. Chao. Prisoner's dilemma in an RNA virus. Nature, 398:441-443, 1999.
9. M. A. Nowak and K. Sigmund. Tit for tat in heterogeneous populations. Nature, 355:250-253, 1992.
10. M. Milinski, R. D. Sommerfeld, H. J. Krambeck, F. A. Reed, and J. Marotzke. The collective-risk social dilemma and the prevention of simulated dangerous climate change. Proceedings of the National Academy of Sciences of the United States of America, 105:2291-2294, 2008.
11. E. Pennisi. How did cooperative behavior evolve? Science, 309:93, 2005.
12. M. Doebeli and C. Hauert. Models of cooperation based on the prisoner's dilemma and the snowdrift game. Ecology Letters, 8:748-766, 2005.
13. J. Gore, H. Youk, and A. van Oudenaarden. Snowdrift game dynamics and facultative cheating in yeast. Nature, 459:253-256, 2009.
14. G. Szabó and G. Fáth. Evolutionary games on graphs. Physics Reports, 446:97-216, 2007.
15. W. H. Sandholm, E. Dokumaci, and F. Franchetti. Dynamo: Diagrams for evolutionary game dynamics, version 1.1. 2011. http://www.ssc.wisc.edu/~whs/ dynamo.
16. G. Szabó and C. To{combining double acute accent}ke. Evolutionary prisoner's dilemma game on a square lattice. Physical Review E, 58:69-73, 1998.
17. L. E. Blume. The statistical mechanics of strategic interaction. Games and Economic Behavior, 5:387-424, 1993.
18. B. Wu, P. M. Altrock, L. Wang, and A. Traulsen. Universality of weak selection. Physical Review E, 82:046106, 2010.