[{"language":[{"iso":"eng"}],"user_id":"16494","series_title":"Lecture Notes in Mechanical Engineering","_id":"20083","status":"public","editor":[{"first_name":"Jürgen","full_name":"Gausemeier, Jürgen","last_name":"Gausemeier"},{"first_name":"Franz","full_name":"Josef Rammig, Franz","last_name":"Josef Rammig"},{"full_name":"Schäfer, Wilhelm","last_name":"Schäfer","first_name":"Wilhelm"},{"full_name":"Sextro, Walter","last_name":"Sextro","first_name":"Walter"}],"type":"book_chapter","publication":"Dependability of Self-Optimizing Mechatronic Systems","doi":"10.1007/978-3-642-53742-4_1","title":"Introduction to Self-optimization and Dependability","date_created":"2020-10-15T15:58:10Z","author":[{"full_name":"Trächtler, Ansgar","last_name":"Trächtler","first_name":"Ansgar"},{"last_name":"Hölscher","full_name":"Hölscher, Christian","first_name":"Christian"},{"last_name":"Rasche","full_name":"Rasche, Christoph","first_name":"Christoph"},{"last_name":"Priesterjahn","full_name":"Priesterjahn, Claudia","first_name":"Claudia"},{"last_name":"Zimmer","full_name":"Zimmer, Detmar","first_name":"Detmar"},{"full_name":"Henning Keßler, Jan","last_name":"Henning Keßler","first_name":"Jan"},{"first_name":"Katharina","full_name":"Stahl, Katharina","last_name":"Stahl"},{"first_name":"Kathrin","last_name":"Flaßkamp","full_name":"Flaßkamp, Kathrin"},{"last_name":"Vaßholz","full_name":"Vaßholz, Mareen","first_name":"Mareen"},{"last_name":"Krüger","full_name":"Krüger, Martin","first_name":"Martin"},{"last_name":"Dellnitz","full_name":"Dellnitz, Michael","first_name":"Michael"},{"first_name":"Peter","last_name":"Iwanek","full_name":"Iwanek, Peter"},{"last_name":"Reinold","full_name":"Reinold, Peter","first_name":"Peter"},{"last_name":"Hartmann","full_name":"Hartmann, Philip","first_name":"Philip"},{"last_name":"Meyer","full_name":"Meyer, Tobias","first_name":"Tobias"},{"full_name":"Sextro, Walter","last_name":"Sextro","first_name":"Walter"}],"date_updated":"2022-01-06T06:54:18Z","publisher":"Springer Berlin Heidelberg","citation":{"apa":"Trächtler, A., Hölscher, C., Rasche, C., Priesterjahn, C., Zimmer, D., Henning Keßler, J., … Sextro, W. (2014). Introduction to Self-optimization and Dependability. In J. Gausemeier, F. Josef Rammig, W. Schäfer, &#38; W. Sextro (Eds.), <i>Dependability of Self-Optimizing Mechatronic Systems</i> (pp. 1–24). 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Trächtler, C. Hölscher, C. Rasche, C. Priesterjahn, D. Zimmer, J. Henning Keßler, K. Stahl, K. Flaßkamp, M. Vaßholz, M. Krüger, M. Dellnitz, P. Iwanek, P. Reinold, P. Hartmann, T. Meyer, W. Sextro, in: J. Gausemeier, F. Josef Rammig, W. Schäfer, W. Sextro (Eds.), Dependability of Self-Optimizing Mechatronic Systems, Springer Berlin Heidelberg, 2014, pp. 1–24.","ama":"Trächtler A, Hölscher C, Rasche C, et al. Introduction to Self-optimization and Dependability. In: Gausemeier J, Josef Rammig F, Schäfer W, Sextro W, eds. <i>Dependability of Self-Optimizing Mechatronic Systems</i>. Lecture Notes in Mechanical Engineering. Springer Berlin Heidelberg; 2014:1-24. doi:<a href=\"https://doi.org/10.1007/978-3-642-53742-4_1\">10.1007/978-3-642-53742-4_1</a>","chicago":"Trächtler, Ansgar, Christian Hölscher, Christoph Rasche, Claudia Priesterjahn, Detmar Zimmer, Jan Henning Keßler, Katharina Stahl, et al. “Introduction to Self-Optimization and Dependability.” In <i>Dependability of Self-Optimizing Mechatronic Systems</i>, edited by Jürgen Gausemeier, Franz Josef Rammig, Wilhelm Schäfer, and Walter Sextro, 1–24. Lecture Notes in Mechanical Engineering. Springer Berlin Heidelberg, 2014. <a href=\"https://doi.org/10.1007/978-3-642-53742-4_1\">https://doi.org/10.1007/978-3-642-53742-4_1</a>.","ieee":"A. Trächtler <i>et al.</i>, “Introduction to Self-optimization and Dependability,” in <i>Dependability of Self-Optimizing Mechatronic Systems</i>, J. Gausemeier, F. Josef Rammig, W. Schäfer, and W. Sextro, Eds. Springer Berlin Heidelberg, 2014, pp. 1–24."},"page":"1-24","year":"2014","publication_identifier":{"isbn":["978-3-642-53741-7"]}},{"language":[{"iso":"eng"}],"_id":"20084","series_title":"Lecture Notes in Mechanical Engineering","user_id":"16494","editor":[{"first_name":"J{ü}rgen","full_name":"Gausemeier, J{ü}rgen","last_name":"Gausemeier"},{"last_name":"Josef Rammig","full_name":"Josef Rammig, Franz","first_name":"Franz"},{"last_name":"Schäfer","full_name":"Schäfer, Wilhelm","first_name":"Wilhelm"},{"first_name":"Walter","last_name":"Sextro","full_name":"Sextro, Walter"}],"status":"public","publication":"Dependability of Self-Optimizing Mechatronic Systems","type":"book_chapter","title":"Methods of Improving the Dependability of Self-optimizing Systems","doi":"10.1007/978-3-642-53742-4_3","publisher":"Springer Berlin Heidelberg","date_updated":"2022-01-06T06:54:18Z","date_created":"2020-10-15T15:58:11Z","author":[{"first_name":"Albert","last_name":"Seifried","full_name":"Seifried, Albert"},{"full_name":"Trächtler, Ansgar","last_name":"Trächtler","first_name":"Ansgar"},{"first_name":"Bernd","full_name":"Kleinjohann, Bernd","last_name":"Kleinjohann"},{"full_name":"Heinzemann, Christian","last_name":"Heinzemann","first_name":"Christian"},{"first_name":"Christoph","full_name":"Rasche, Christoph","last_name":"Rasche"},{"full_name":"Priesterjahn, Claudia","last_name":"Priesterjahn","first_name":"Claudia"},{"last_name":"Steenken","full_name":"Steenken, Dominik","first_name":"Dominik"},{"first_name":"Franz-Josef}","full_name":"Ramming, Franz-Josef}","last_name":"Ramming"},{"full_name":"Wehrheim, Heike","last_name":"Wehrheim","first_name":"Heike"},{"first_name":"Jan","full_name":"Henning Keßler, Jan","last_name":"Henning Keßler"},{"last_name":"Gausemeier","full_name":"Gausemeier, J{ü}rgen","first_name":"J{ü}rgen"},{"full_name":"Stahl, Katharin","last_name":"Stahl","first_name":"Katharin"},{"first_name":"Kathrin","full_name":"Flaßkamp, Kathrin","last_name":"Flaßkamp"},{"first_name":"Katrin","last_name":"Witting","full_name":"Witting, Katrin"},{"first_name":"Lisa","last_name":"Kleinjohann","full_name":"Kleinjohann, Lisa"},{"full_name":"Porrmann, Mario","last_name":"Porrmann","first_name":"Mario"},{"last_name":"Krüger","full_name":"Krüger, Martin","first_name":"Martin"},{"first_name":"Michael","last_name":"Dellnitz","full_name":"Dellnitz, Michael"},{"last_name":"Iwanek","full_name":"Iwanek, Peter","first_name":"Peter"},{"first_name":"Peter","full_name":"Reinold, Peter","last_name":"Reinold"},{"first_name":"Philip","full_name":"Hartmann, Philip","last_name":"Hartmann"},{"full_name":"Dorociak, Rafal","last_name":"Dorociak","first_name":"Rafal"},{"first_name":"Robert","full_name":"Timmermann, Robert","last_name":"Timmermann"},{"last_name":"Korf","full_name":"Korf, Sebastian","first_name":"Sebastian"},{"last_name":"Groesbrink","full_name":"Groesbrink, Stefan","first_name":"Stefan"},{"last_name":"Ziegert","full_name":"Ziegert, Steffen","first_name":"Steffen"},{"last_name":"Xie","full_name":"Xie, Tao","first_name":"Tao"},{"first_name":"Tobias","full_name":"Meyer, Tobias","last_name":"Meyer"},{"last_name":"Sextro","full_name":"Sextro, Walter","first_name":"Walter"},{"first_name":"Wilhelm","full_name":"Schäfer, Wilhelm","last_name":"Schäfer"},{"full_name":"Müller, Wolfgang","last_name":"Müller","first_name":"Wolfgang"},{"first_name":"Yuhong","last_name":"Zhao","full_name":"Zhao, Yuhong"}],"year":"2014","page":"37-171","citation":{"chicago":"Seifried, Albert, Ansgar Trächtler, Bernd Kleinjohann, Christian Heinzemann, Christoph Rasche, Claudia Priesterjahn, Dominik Steenken, et al. “Methods of Improving the Dependability of Self-Optimizing Systems.” In <i>Dependability of Self-Optimizing Mechatronic Systems</i>, edited by J{ü}rgen Gausemeier, Franz Josef Rammig, Wilhelm Schäfer, and Walter Sextro, 37–171. Lecture Notes in Mechanical Engineering. Springer Berlin Heidelberg, 2014. <a href=\"https://doi.org/10.1007/978-3-642-53742-4_3\">https://doi.org/10.1007/978-3-642-53742-4_3</a>.","ieee":"A. Seifried <i>et al.</i>, “Methods of Improving the Dependability of Self-optimizing Systems,” in <i>Dependability of Self-Optimizing Mechatronic Systems</i>, J. Gausemeier, F. Josef Rammig, W. Schäfer, and W. Sextro, Eds. Springer Berlin Heidelberg, 2014, pp. 37–171.","ama":"Seifried A, Trächtler A, Kleinjohann B, et al. Methods of Improving the Dependability of Self-optimizing Systems. In: Gausemeier J, Josef Rammig F, Schäfer W, Sextro W, eds. <i>Dependability of Self-Optimizing Mechatronic Systems</i>. Lecture Notes in Mechanical Engineering. Springer Berlin Heidelberg; 2014:37-171. doi:<a href=\"https://doi.org/10.1007/978-3-642-53742-4_3\">10.1007/978-3-642-53742-4_3</a>","apa":"Seifried, A., Trächtler, A., Kleinjohann, B., Heinzemann, C., Rasche, C., Priesterjahn, C., … Zhao, Y. (2014). Methods of Improving the Dependability of Self-optimizing Systems. In J. Gausemeier, F. Josef Rammig, W. Schäfer, &#38; W. Sextro (Eds.), <i>Dependability of Self-Optimizing Mechatronic Systems</i> (pp. 37–171). Springer Berlin Heidelberg. <a href=\"https://doi.org/10.1007/978-3-642-53742-4_3\">https://doi.org/10.1007/978-3-642-53742-4_3</a>","bibtex":"@inbook{Seifried_Trächtler_Kleinjohann_Heinzemann_Rasche_Priesterjahn_Steenken_Ramming_Wehrheim_Henning Keßler_et al._2014, series={Lecture Notes in Mechanical Engineering}, title={Methods of Improving the Dependability of Self-optimizing Systems}, DOI={<a href=\"https://doi.org/10.1007/978-3-642-53742-4_3\">10.1007/978-3-642-53742-4_3</a>}, booktitle={Dependability of Self-Optimizing Mechatronic Systems}, publisher={Springer Berlin Heidelberg}, author={Seifried, Albert and Trächtler, Ansgar and Kleinjohann, Bernd and Heinzemann, Christian and Rasche, Christoph and Priesterjahn, Claudia and Steenken, Dominik and Ramming, Franz-Josef} and Wehrheim, Heike and Henning Keßler, Jan and et al.}, editor={Gausemeier, J{ü}rgen and Josef Rammig, Franz and Schäfer, Wilhelm and Sextro, WalterEditors}, year={2014}, pages={37–171}, collection={Lecture Notes in Mechanical Engineering} }","short":"A. Seifried, A. Trächtler, B. Kleinjohann, C. Heinzemann, C. Rasche, C. Priesterjahn, D. Steenken, F.-J. Ramming, H. Wehrheim, J. Henning Keßler, J. Gausemeier, K. Stahl, K. Flaßkamp, K. Witting, L. Kleinjohann, M. Porrmann, M. Krüger, M. Dellnitz, P. Iwanek, P. Reinold, P. Hartmann, R. Dorociak, R. Timmermann, S. Korf, S. Groesbrink, S. Ziegert, T. Xie, T. Meyer, W. Sextro, W. Schäfer, W. Müller, Y. Zhao, in: J. Gausemeier, F. Josef Rammig, W. Schäfer, W. Sextro (Eds.), Dependability of Self-Optimizing Mechatronic Systems, Springer Berlin Heidelberg, 2014, pp. 37–171.","mla":"Seifried, Albert, et al. “Methods of Improving the Dependability of Self-Optimizing Systems.” <i>Dependability of Self-Optimizing Mechatronic Systems</i>, edited by J{ü}rgen Gausemeier et al., Springer Berlin Heidelberg, 2014, pp. 37–171, doi:<a href=\"https://doi.org/10.1007/978-3-642-53742-4_3\">10.1007/978-3-642-53742-4_3</a>."},"publication_identifier":{"isbn":["978-3-642-53741-7"]}},{"doi":"10.1162/ARTL_a_00097","title":"Analysis of Swarm Behaviors Based on an Inversion of the Fluctuation Theorem","date_created":"2020-10-19T08:41:18Z","author":[{"first_name":"Heiko","full_name":"Hamann, Heiko","last_name":"Hamann"},{"full_name":"Schmickl, Thomas","last_name":"Schmickl","first_name":"Thomas"},{"first_name":"Karl","last_name":"Crailsheim","full_name":"Crailsheim, Karl"}],"volume":20,"date_updated":"2022-01-06T06:54:20Z","citation":{"mla":"Hamann, Heiko, et al. “Analysis of Swarm Behaviors Based on an Inversion of the Fluctuation Theorem.” <i>Artificial Life</i>, vol. 20, no. 1, 2014, pp. 77–93, doi:<a href=\"https://doi.org/10.1162/ARTL_a_00097\">10.1162/ARTL_a_00097</a>.","bibtex":"@article{Hamann_Schmickl_Crailsheim_2014, title={Analysis of Swarm Behaviors Based on an Inversion of the Fluctuation Theorem}, volume={20}, DOI={<a href=\"https://doi.org/10.1162/ARTL_a_00097\">10.1162/ARTL_a_00097</a>}, number={1}, journal={Artificial Life}, author={Hamann, Heiko and Schmickl, Thomas and Crailsheim, Karl}, year={2014}, pages={77–93} }","short":"H. Hamann, T. Schmickl, K. Crailsheim, Artificial Life 20 (2014) 77–93.","apa":"Hamann, H., Schmickl, T., &#38; Crailsheim, K. (2014). Analysis of Swarm Behaviors Based on an Inversion of the Fluctuation Theorem. <i>Artificial Life</i>, <i>20</i>(1), 77–93. <a href=\"https://doi.org/10.1162/ARTL_a_00097\">https://doi.org/10.1162/ARTL_a_00097</a>","ieee":"H. Hamann, T. Schmickl, and K. Crailsheim, “Analysis of Swarm Behaviors Based on an Inversion of the Fluctuation Theorem,” <i>Artificial Life</i>, vol. 20, no. 1, pp. 77–93, 2014.","chicago":"Hamann, Heiko, Thomas Schmickl, and Karl Crailsheim. “Analysis of Swarm Behaviors Based on an Inversion of the Fluctuation Theorem.” <i>Artificial Life</i> 20, no. 1 (2014): 77–93. <a href=\"https://doi.org/10.1162/ARTL_a_00097\">https://doi.org/10.1162/ARTL_a_00097</a>.","ama":"Hamann H, Schmickl T, Crailsheim K. Analysis of Swarm Behaviors Based on an Inversion of the Fluctuation Theorem. <i>Artificial Life</i>. 2014;20(1):77-93. doi:<a href=\"https://doi.org/10.1162/ARTL_a_00097\">10.1162/ARTL_a_00097</a>"},"page":"77-93","intvolume":"        20","year":"2014","issue":"1","language":[{"iso":"eng"}],"user_id":"15415","department":[{"_id":"63"},{"_id":"238"}],"_id":"20120","status":"public","abstract":[{"lang":"eng","text":"A grand challenge in the field of artificial life is to find a general theory of emergent self-organizing systems. In swarm systems most of the observed complexity is based on motion of simple entities. Similarly, statistical mechanics focuses on collective properties induced by the motion of many interacting particles. In this article we apply methods from statistical mechanics to swarm systems. We try to explain the emergent behavior of a simulated swarm by applying methods based on the fluctuation theorem. Empirical results indicate that swarms are able to produce negative entropy within an isolated subsystem due to frozen accidents. Individuals of a swarm are able to locally detect fluctuations of the global entropy measure and store them, if they are negative entropy productions. By accumulating these stored fluctuations over time the swarm as a whole is producing negative entropy and the system ends up in an ordered state. We claim that this indicates the existence of an inverted fluctuation theorem for emergent self-organizing dissipative systems. This approach bears the potential of general applicability."}],"type":"journal_article","publication":"Artificial Life"},{"publication":"Proceedings of the 13th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2014)","type":"conference","status":"public","abstract":[{"text":"Collective decision making in self-organized systems is challenging because it relies on local perception and local communication. Globally defined qualities such as consensus time and decision accuracy are both difficult to predict and difficult to guarantee. We present the weighted voter model which implements a self-organized collective decision making process. We provide an ODE model, a master equation model (numerically solved by the Gillespie algorithm), and agent-based simulations of the proposed decision-making strategy. This set of models enables us to investigate the system behavior in the thermodynamic limit and to investigate finite-size effects due to random fluctuations. Based on our results, we give minimum requirements to guarantee consensus on the optimal decision, a minimum swarm size to guarantee a certain accuracy, and we show that the proposed approach scales with system size and is robust to noise.","lang":"eng"}],"department":[{"_id":"63"},{"_id":"238"}],"user_id":"15415","_id":"20121","language":[{"iso":"eng"}],"citation":{"apa":"Dorigo, M., Hamann, H., Valentini, G., Lomuscio, A., Scerri, P., Bazzan, A., &#38; Huhns, M. (2014). Self-Organized Collective Decision Making: The Weighted Voter Model. In <i>Proceedings of the 13th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2014)</i>.","bibtex":"@inproceedings{Dorigo_Hamann_Valentini_Lomuscio_Scerri_Bazzan_Huhns_2014, title={Self-Organized Collective Decision Making: The Weighted Voter Model}, booktitle={Proceedings of the 13th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2014)}, author={Dorigo, Marco and Hamann, Heiko and Valentini, Gabriele and Lomuscio, Alessio and Scerri, Paul and Bazzan, Ana and Huhns, Michael}, year={2014} }","short":"M. Dorigo, H. Hamann, G. Valentini, A. Lomuscio, P. Scerri, A. Bazzan, M. Huhns, in: Proceedings of the 13th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2014), 2014.","mla":"Dorigo, Marco, et al. “Self-Organized Collective Decision Making: The Weighted Voter Model.” <i>Proceedings of the 13th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2014)</i>, 2014.","ieee":"M. Dorigo <i>et al.</i>, “Self-Organized Collective Decision Making: The Weighted Voter Model,” in <i>Proceedings of the 13th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2014)</i>, 2014.","chicago":"Dorigo, Marco, Heiko Hamann, Gabriele Valentini, Alessio Lomuscio, Paul Scerri, Ana Bazzan, and Michael Huhns. “Self-Organized Collective Decision Making: The Weighted Voter Model.” In <i>Proceedings of the 13th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2014)</i>, 2014.","ama":"Dorigo M, Hamann H, Valentini G, et al. Self-Organized Collective Decision Making: The Weighted Voter Model. In: <i>Proceedings of the 13th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2014)</i>. ; 2014."},"year":"2014","date_created":"2020-10-19T08:49:05Z","author":[{"last_name":"Dorigo","full_name":"Dorigo, Marco","first_name":"Marco"},{"full_name":"Hamann, Heiko","last_name":"Hamann","first_name":"Heiko"},{"first_name":"Gabriele","full_name":"Valentini, Gabriele","last_name":"Valentini"},{"full_name":"Lomuscio, Alessio","last_name":"Lomuscio","first_name":"Alessio"},{"full_name":"Scerri, Paul","last_name":"Scerri","first_name":"Paul"},{"last_name":"Bazzan","full_name":"Bazzan, Ana","first_name":"Ana"},{"full_name":"Huhns, Michael","last_name":"Huhns","first_name":"Michael"}],"date_updated":"2022-01-06T06:54:20Z","title":"Self-Organized Collective Decision Making: The Weighted Voter Model"},{"user_id":"15415","department":[{"_id":"63"},{"_id":"238"}],"_id":"20126","language":[{"iso":"eng"}],"type":"conference","publication":"Int. Conf. on Genetic and Evolutionary Computation (GECCO 2014)","status":"public","author":[{"first_name":"Heiko","last_name":"Hamann","full_name":"Hamann, Heiko"}],"date_created":"2020-10-20T07:45:46Z","date_updated":"2022-01-06T06:54:20Z","doi":"10.1145/2598394.2598507","title":"Evolving Prediction Machines: Collective Behaviors Based on Minimal Surprisal","citation":{"chicago":"Hamann, Heiko. “Evolving Prediction Machines: Collective Behaviors Based on Minimal Surprisal.” In <i>Int. Conf. on Genetic and Evolutionary Computation (GECCO 2014)</i>, 31–32, 2014. <a href=\"https://doi.org/10.1145/2598394.2598507\">https://doi.org/10.1145/2598394.2598507</a>.","ieee":"H. Hamann, “Evolving Prediction Machines: Collective Behaviors Based on Minimal Surprisal,” in <i>Int. Conf. on Genetic and Evolutionary Computation (GECCO 2014)</i>, 2014, pp. 31–32.","ama":"Hamann H. Evolving Prediction Machines: Collective Behaviors Based on Minimal Surprisal. In: <i>Int. Conf. on Genetic and Evolutionary Computation (GECCO 2014)</i>. ; 2014:31-32. doi:<a href=\"https://doi.org/10.1145/2598394.2598507\">10.1145/2598394.2598507</a>","apa":"Hamann, H. (2014). Evolving Prediction Machines: Collective Behaviors Based on Minimal Surprisal. In <i>Int. Conf. on Genetic and Evolutionary Computation (GECCO 2014)</i> (pp. 31–32). <a href=\"https://doi.org/10.1145/2598394.2598507\">https://doi.org/10.1145/2598394.2598507</a>","bibtex":"@inproceedings{Hamann_2014, title={Evolving Prediction Machines: Collective Behaviors Based on Minimal Surprisal}, DOI={<a href=\"https://doi.org/10.1145/2598394.2598507\">10.1145/2598394.2598507</a>}, booktitle={Int. Conf. on Genetic and Evolutionary Computation (GECCO 2014)}, author={Hamann, Heiko}, year={2014}, pages={31–32} }","mla":"Hamann, Heiko. “Evolving Prediction Machines: Collective Behaviors Based on Minimal Surprisal.” <i>Int. Conf. on Genetic and Evolutionary Computation (GECCO 2014)</i>, 2014, pp. 31–32, doi:<a href=\"https://doi.org/10.1145/2598394.2598507\">10.1145/2598394.2598507</a>.","short":"H. Hamann, in: Int. Conf. on Genetic and Evolutionary Computation (GECCO 2014), 2014, pp. 31–32."},"page":"31-32","year":"2014"},{"language":[{"iso":"eng"}],"_id":"20127","department":[{"_id":"63"},{"_id":"238"}],"user_id":"15415","status":"public","publication":"Ninth Int. 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Sorting in Swarm Robots Using Communication-Based Cluster Size Estimation. In: <i>Ninth Int. Conf. on Swarm Intelligence (ANTS 2014)</i>. Vol 8667. ; 2014:262-269. doi:<a href=\"https://doi.org/10.1007/978-3-319-09952-1_25\">10.1007/978-3-319-09952-1_25</a>","chicago":"Birattari, Mauro, Marco Dorigo, Heiko Hamann, Simon Garnier, Marco Montes de Oca, Christine Solnon, Thomas Stuetzle, and Hongli Ding. “Sorting in Swarm Robots Using Communication-Based Cluster Size Estimation.” In <i>Ninth Int. Conf. on Swarm Intelligence (ANTS 2014)</i>, 8667:262–69, 2014. <a href=\"https://doi.org/10.1007/978-3-319-09952-1_25\">https://doi.org/10.1007/978-3-319-09952-1_25</a>.","ieee":"M. Birattari <i>et al.</i>, “Sorting in Swarm Robots Using Communication-Based Cluster Size Estimation,” in <i>Ninth Int. Conf. on Swarm Intelligence (ANTS 2014)</i>, 2014, vol. 8667, pp. 262–269.","apa":"Birattari, M., Dorigo, M., Hamann, H., Garnier, S., Montes de Oca, M., Solnon, C., … Ding, H. (2014). 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