By Gabriele Valentini
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Additional info for Achieving Consensus in Robot Swarms
Magdalena, M. Dorigo, Collective decisionmaking based on social odometry. Neural Comput. Appl. 19(6), 807–823 (2010) H. Hamann, Space-time continuous models of swarm robotic systems: Supporting global-to-local programming, vol. 9, Cognitive Systems Monographs (Springer, Berlin, 2010) H. Hamann, Towards swarm calculus: urn models of collective decisions and universal properties of swarm performance. Swarm Intell. 7(2–3), 145–172 (2013) H. Hamann, H. Wörn, A framework of space-time continuous models for algorithm design in swarm robotics.
Crailsheim, Get in touch: cooperative decision making based on robot-to-robot collisions. Auton. Agents Multi-Agent Syst. D. K. Visscher, T. M. R. R. Marshall, Stop signals provide cross inhibition in collective decision-making by honeybee swarms. Science 335(6064), 108–111 (2012) O. Soysal, E. Sahin, ¸ A macroscopic model for self-organized aggregation in swarm robotic systems, ed. By E. M. T. Winfield. Swarm Robotics, vol. 4433. LNCS (Springer, 2007), pp. M. F. C. Hamann, R. Heil, Distributed, physics-based control of swarms of vehicles.
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