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Evolving prediction machines: collective behaviors based on minimal surprisal.. GECCO (Companion), стр. 31-32. ACM, (2014)PhytoNodes for Environmental Monitoring: Stimulus Classification based on Natural Plant Signals in an Interactive Energy-efficient Bio-hybrid System., , , , , , и . GoodIT, стр. 258-264. ACM, (2022)Swarm in a Fly Bottle: Feedback-Based Analysis of Self-organizing Temporary Lock-ins., и . ANTS Conference, том 8667 из Lecture Notes in Computer Science, стр. 170-181. Springer, (2014)A Model of Symmetry Breaking in Collective Decision-Making., , , и . SAB, том 6226 из Lecture Notes in Computer Science, стр. 639-648. Springer, (2010)Pick, Pack, & Survive: Charging Robots in a Modern Warehouse based on Online Connected Dominating Sets., , , и . FUN, том 100 из LIPIcs, стр. 22:1-22:13. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2018)Congestion and Scalability in Robot Swarms: A Study on Collective Decision Making., , , и . MRS, стр. 199-206. IEEE, (2023)Efficient Decision-Making in a Self-Organizing Robot Swarm: On the Speed Versus Accuracy Trade-Off., , и . AAMAS, стр. 1305-1314. ACM, (2015)Speciation Dynamics: Generating Selective Pressure Towards Diversity.. ECAL, стр. 947-954. MIT Press, (2013)Estimation of continuous environments by robot swarms: Correlated networks and decision-making., , и . ICRA, стр. 5486-5492. IEEE, (2023)ROS2SWARM - A ROS 2 Package for Swarm Robot Behaviors., , , , , и . ICRA, стр. 6875-6881. IEEE, (2022)