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Incremental Development of Networked Intelligence in Flocking Behavior

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Emergent Intelligence of Networked Agents

Part of the book series: Studies in Computational Intelligence ((SCI,volume 56))

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References

  1. Reynolds, C. W. (1987) “Flocks, Herds, and Schools: A Distributed Behavioral Model, in Computer Graphics,” 21(4) (SIGGRAPH’87 Conference Proceedings), pp. 25/34

    Google Scholar 

  2. Reynolds, C. W. (1999) “Steering Behaviors For Autonomous Characters, ” in the proceedings of Game Developers Conference 1999 held in San Jose, 12 Masaru Aoyagi and Akira Namatame California. Miller Freeman Game Group, San Francisco, California. pp. 763/782

    Google Scholar 

  3. Veherencamp, S. L. (1987) “ Individual, kin, and group selection, ” in Handbook of Behavioral Neurobiology, Volume 3: Social Behavior and Communication, P. Marler and J. G. Vandenbergh, Eds. New York: Plenum, pp. 354/382

    Google Scholar 

  4. Cullen, J. M., E. Shaw, and H. A. Baldwin (1965) “Methods for measuring the three-dimensional structure of fish schools, ”Animal Beh., vol. 13, pp. 534/543

    Google Scholar 

  5. Tu, X. and D. Terzopoulos (1994) “Artificial fishes: Physics, locomotion, perception, behavior,” in Proc. SIGGRAPH 94 Conf., Orlando, FL, pp. 43/50

    Google Scholar 

  6. Brogan, D. C. and J. K. Hodgins (1997) “Group behaviors for systems with significant dynamics, ”Auton. Robots, vol. 4, no. 1, pp. 137/153

    Google Scholar 

  7. Wang, P. K. C. (1991) “Navigation strategies for multiple autonomous robots moving in formation, ”J. Robot. Syst., vol. 8, no. 2, pp. 177/195

    Article  Google Scholar 

  8. Chen, Q. and J. Y. S. Luh (1994) “Coordination and control of a group of small mobile robots, ”in Proc. IEEE Int. Conf. Robot. Automat., San Diego, CA, 1994, pp. 2315/2320

    Google Scholar 

  9. Mataric, M. (1992) “Designing emergent behaviors: From local interactions to collective intelligence, ”in Proc. Int. Conf. Simulation of Adaptive Behavior: From Animals to Animats 2, pp. 432/441

    Google Scholar 

  10. Mataric, M. (1992) “Minimizing complexity in controlling a mobile robot population,” in Proc. 1992 IEEE Int. Conf. Robot. Automat., Nice, France, pp. 830/835

    Google Scholar 

  11. Parker, L.E. ” dissertation, Dept. Electr. Eng. Comput. Sci., Mass. Inst. of Technol., Cambridge, MA

    Google Scholar 

  12. Yoshida, E., T. Arai, J. Ota, and T. Miki (1994) “Effect of grouping in local communication system of multiple mobile robots, ”in Proc. 1994 IEEE Int. Conf. Intell. Robots Syst., Munich, Germany, pp. 808/815

    Google Scholar 

  13. Yamaguchi, H. (1997) “Adaptive formation control for distributed autonomous mobile robot groups, ” in Proc. 1997 IEEE Conf. Robot. Automat., Albuquerque, NM

    Google Scholar 

  14. Gage, D. W. (1992) “Command control for many-robot systems,” Unmanned Syst. Mag., vol. 10, no. 4, pp. 28/34

    Google Scholar 

  15. Parker, L. (1993) “Designing control laws for cooperative agent teams, ”in Proc. 1993 IEEE Int. Conf. Robot. Automat., pp. 582/587

    Google Scholar 

  16. Brooks, R. (1986) “A robust layered control system for a mobile robot,” IEEE J. Robot. Automat., vol. RA-2, p. 14

    MathSciNet  Google Scholar 

  17. Balch, T. and R. C. Arkin (1998) “Behavior-Based Formation Control for Multirobot Teams,” IEEE Transactions on Robotics and Automation, vol. 14, no. 6

    Google Scholar 

  18. Aoyagi, M. and A. Namatame (2005) “Massive Multi-Agent Simulation in 3D”, Soft Computing as Transdisciplinary Science and Technology Proceedings of the 4th IEEE International Workshop (WSTST’05), pp. 295/305

    Google Scholar 

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Aoyagi, M., Namatame, A. (2007). Incremental Development of Networked Intelligence in Flocking Behavior. In: Namatame, A., Kurihara, S., Nakashima, H. (eds) Emergent Intelligence of Networked Agents. Studies in Computational Intelligence, vol 56. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71075-2_1

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  • DOI: https://doi.org/10.1007/978-3-540-71075-2_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-71073-8

  • Online ISBN: 978-3-540-71075-2

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