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Springer-Verlag ; 2014:184-190.","apa":"Flaßkamp, K., Grösbrink, S., Hartmann, P., Heinzemann, C., Kleinjohann, B., Kleinjohann, L., Krüger, M., Ober-Blöbaum, S., Priesterjahn, C., Rasche, C., Schäfer, W., Steenken, D., Trächtler, A., Wehrheim, H., &#38; Ziegert, S. (2014). Development of the RailCab Vehicle. In <i>Dependability of Self-Optimizing Mechatronic Systems</i> (pp. 184–190). Springer-Verlag .","mla":"Flaßkamp, Kathrin, et al. “Development of the RailCab Vehicle.” <i>Dependability of Self-Optimizing Mechatronic Systems</i>, Springer-Verlag , 2014, pp. 184–90.","short":"K. Flaßkamp, S. Grösbrink, P. Hartmann, C. Heinzemann, B. Kleinjohann, L. Kleinjohann, M. Krüger, S. Ober-Blöbaum, C. Priesterjahn, C. Rasche, W. Schäfer, D. Steenken, A. Trächtler, H. Wehrheim, S. Ziegert, in: Dependability of Self-Optimizing Mechatronic Systems, Springer-Verlag , Heidelberg, Germany, 2014, pp. 184–190.","bibtex":"@inbook{Flaßkamp_Grösbrink_Hartmann_Heinzemann_Kleinjohann_Kleinjohann_Krüger_Ober-Blöbaum_Priesterjahn_Rasche_et al._2014, place={Heidelberg, Germany}, title={Development of the RailCab Vehicle}, booktitle={Dependability of Self-Optimizing Mechatronic Systems}, publisher={Springer-Verlag }, author={Flaßkamp, Kathrin and Grösbrink, Stefan and Hartmann, Philip and Heinzemann, Christian and Kleinjohann, Bernd and Kleinjohann, Lisa and Krüger, Martin and Ober-Blöbaum, Sina and Priesterjahn, Claudia and Rasche, Christoph and et al.}, year={2014}, pages={184–190} }"},"year":"2014","place":"Heidelberg, Germany","title":"Development of the RailCab Vehicle","author":[{"last_name":"Flaßkamp","full_name":"Flaßkamp, Kathrin","first_name":"Kathrin"},{"full_name":"Grösbrink, Stefan","last_name":"Grösbrink","first_name":"Stefan"},{"first_name":"Philip","last_name":"Hartmann","full_name":"Hartmann, Philip"},{"last_name":"Heinzemann","full_name":"Heinzemann, Christian","first_name":"Christian"},{"first_name":"Bernd","last_name":"Kleinjohann","full_name":"Kleinjohann, Bernd"},{"first_name":"Lisa","id":"15588","full_name":"Kleinjohann, Lisa","last_name":"Kleinjohann"},{"first_name":"Martin","last_name":"Krüger","full_name":"Krüger, Martin"},{"last_name":"Ober-Blöbaum","full_name":"Ober-Blöbaum, Sina","id":"16494","first_name":"Sina"},{"first_name":"Claudia","full_name":"Priesterjahn, Claudia","last_name":"Priesterjahn"},{"last_name":"Rasche","full_name":"Rasche, Christoph","first_name":"Christoph"},{"first_name":"Wilhelm","last_name":"Schäfer","full_name":"Schäfer, Wilhelm"},{"last_name":"Steenken","full_name":"Steenken, Dominik","first_name":"Dominik"},{"id":"552","full_name":"Trächtler, Ansgar","last_name":"Trächtler","first_name":"Ansgar"},{"last_name":"Wehrheim","id":"573","full_name":"Wehrheim, Heike","first_name":"Heike"},{"full_name":"Ziegert, Steffen","last_name":"Ziegert","first_name":"Steffen"}],"date_created":"2021-09-30T12:44:57Z","date_updated":"2022-01-06T06:56:54Z","publisher":"Springer-Verlag "},{"language":[{"iso":"eng"}],"user_id":"21240","department":[{"_id":"672"}],"_id":"25179","status":"public","type":"book_chapter","publication":"Dependability of Self-Optimizing Mechatronic Systems","title":"Online Model Checking","date_created":"2021-09-30T13:07:12Z","author":[{"last_name":"Rammig","full_name":"Rammig, Franz-Josef","first_name":"Franz-Josef"},{"first_name":"Yuhong","last_name":"Zhao","full_name":"Zhao, Yuhong"}],"date_updated":"2022-01-06T06:56:54Z","publisher":"Springer-Verlag","citation":{"ama":"Rammig F-J, Zhao Y. Online Model Checking. In: <i>Dependability of Self-Optimizing Mechatronic Systems</i>. Springer-Verlag; 2014:147-152.","chicago":"Rammig, Franz-Josef, and Yuhong Zhao. “Online Model Checking.” In <i>Dependability of Self-Optimizing Mechatronic Systems</i>, 147–52.  Heidelberg, Germany: Springer-Verlag, 2014.","ieee":"F.-J. Rammig and Y. Zhao, “Online Model Checking,” in <i>Dependability of Self-Optimizing Mechatronic Systems</i>,  Heidelberg, Germany: Springer-Verlag, 2014, pp. 147–152.","apa":"Rammig, F.-J., &#38; Zhao, Y. (2014). Online Model Checking. In <i>Dependability of Self-Optimizing Mechatronic Systems</i> (pp. 147–152). Springer-Verlag.","mla":"Rammig, Franz-Josef, and Yuhong Zhao. “Online Model Checking.” <i>Dependability of Self-Optimizing Mechatronic Systems</i>, Springer-Verlag, 2014, pp. 147–52.","bibtex":"@inbook{Rammig_Zhao_2014, place={ Heidelberg, Germany}, title={Online Model Checking}, booktitle={Dependability of Self-Optimizing Mechatronic Systems}, publisher={Springer-Verlag}, author={Rammig, Franz-Josef and Zhao, Yuhong}, year={2014}, pages={147–152} }","short":"F.-J. Rammig, Y. Zhao, in: Dependability of Self-Optimizing Mechatronic Systems, Springer-Verlag,  Heidelberg, Germany, 2014, pp. 147–152."},"page":"147-152","place":" Heidelberg, Germany","year":"2014"},{"status":"public","type":"book","language":[{"iso":"eng"}],"_id":"25180","user_id":"21240","department":[{"_id":"672"}],"place":"Heidelberg, Germany","year":"2014","citation":{"ama":"Gausemeier J, Rammig F-J, Schäfer W. <i>Design Methodology for Intelligent Technical Systems - Develop Intelligent Technical Systems of the Future</i>. Springer-Verlag; 2014.","ieee":"J. Gausemeier, F.-J. Rammig, and W. Schäfer, <i>Design Methodology for Intelligent Technical Systems - Develop Intelligent Technical Systems of the Future</i>. Heidelberg, Germany: Springer-Verlag, 2014.","chicago":"Gausemeier, Jürgen, Franz-Josef Rammig, and Wilhelm Schäfer. <i>Design Methodology for Intelligent Technical Systems - Develop Intelligent Technical Systems of the Future</i>. Heidelberg, Germany: Springer-Verlag, 2014.","mla":"Gausemeier, Jürgen, et al. <i>Design Methodology for Intelligent Technical Systems - Develop Intelligent Technical Systems of the Future</i>. Springer-Verlag, 2014.","bibtex":"@book{Gausemeier_Rammig_Schäfer_2014, place={Heidelberg, Germany}, title={Design Methodology for Intelligent Technical Systems - Develop Intelligent Technical Systems of the Future}, publisher={Springer-Verlag}, author={Gausemeier, Jürgen and Rammig, Franz-Josef and Schäfer, Wilhelm}, year={2014} }","short":"J. Gausemeier, F.-J. Rammig, W. Schäfer, Design Methodology for Intelligent Technical Systems - Develop Intelligent Technical Systems of the Future, Springer-Verlag, Heidelberg, Germany, 2014.","apa":"Gausemeier, J., Rammig, F.-J., &#38; Schäfer, W. (2014). <i>Design Methodology for Intelligent Technical Systems - Develop Intelligent Technical Systems of the Future</i>. Springer-Verlag."},"title":"Design Methodology for Intelligent Technical Systems - Develop Intelligent Technical Systems of the Future","publisher":"Springer-Verlag","date_updated":"2022-01-06T06:56:54Z","date_created":"2021-09-30T13:09:30Z","author":[{"first_name":"Jürgen","full_name":"Gausemeier, Jürgen","last_name":"Gausemeier"},{"full_name":"Rammig, Franz-Josef","last_name":"Rammig","first_name":"Franz-Josef"},{"first_name":"Wilhelm","last_name":"Schäfer","full_name":"Schäfer, Wilhelm"}]},{"status":"public","type":"conference","publication":"Symposium on Biomathematics and Ecology: Education and Research","language":[{"iso":"eng"}],"user_id":"15415","department":[{"_id":"63"},{"_id":"238"}],"_id":"20007","citation":{"apa":"Hamann, H., Karsai, I., Schmickl, T., &#38; Hilbun, A. (2014). The common stomach: Organizing task allocation in wasp societies. In <i>Symposium on Biomathematics and Ecology: Education and Research</i>.","bibtex":"@inproceedings{Hamann_Karsai_Schmickl_Hilbun_2014, title={The common stomach: Organizing task allocation in wasp societies}, booktitle={Symposium on Biomathematics and Ecology: Education and Research}, author={Hamann, Heiko and Karsai, Istvan and Schmickl, Thomas and Hilbun, Allison}, year={2014} }","short":"H. Hamann, I. Karsai, T. Schmickl, A. Hilbun, in: Symposium on Biomathematics and Ecology: Education and Research, 2014.","mla":"Hamann, Heiko, et al. “The Common Stomach: Organizing Task Allocation in Wasp Societies.” <i>Symposium on Biomathematics and Ecology: Education and Research</i>, 2014.","ama":"Hamann H, Karsai I, Schmickl T, Hilbun A. The common stomach: Organizing task allocation in wasp societies. In: <i>Symposium on Biomathematics and Ecology: Education and Research</i>. ; 2014.","ieee":"H. Hamann, I. Karsai, T. Schmickl, and A. Hilbun, “The common stomach: Organizing task allocation in wasp societies,” in <i>Symposium on Biomathematics and Ecology: Education and Research</i>, 2014.","chicago":"Hamann, Heiko, Istvan Karsai, Thomas Schmickl, and Allison Hilbun. “The Common Stomach: Organizing Task Allocation in Wasp Societies.” In <i>Symposium on Biomathematics and Ecology: Education and Research</i>, 2014."},"year":"2014","title":"The common stomach: Organizing task allocation in wasp societies","date_created":"2020-10-15T13:56:46Z","author":[{"first_name":"Heiko","last_name":"Hamann","full_name":"Hamann, Heiko"},{"first_name":"Istvan","full_name":"Karsai, Istvan","last_name":"Karsai"},{"first_name":"Thomas","full_name":"Schmickl, Thomas","last_name":"Schmickl"},{"full_name":"Hilbun, Allison","last_name":"Hilbun","first_name":"Allison"}],"date_updated":"2022-01-06T06:54:18Z"},{"doi":"10.1007/978-3-319-09952-1_15","title":"Swarm in a Fly Bottle: Feedback-Based Analysis of Self-organizing Temporary Lock-ins","date_created":"2020-10-15T14:13:51Z","author":[{"last_name":"Hamann","full_name":"Hamann, Heiko","first_name":"Heiko"},{"last_name":"Valentini","full_name":"Valentini, Gabriele","first_name":"Gabriele"}],"date_updated":"2022-01-06T06:54:18Z","citation":{"ama":"Hamann H, Valentini G. Swarm in a Fly Bottle: Feedback-Based Analysis of Self-organizing Temporary Lock-ins. In: <i>Ninth Int. Conf. on Swarm Intelligence (ANTS 2014)</i>. Cham; 2014. doi:<a href=\"https://doi.org/10.1007/978-3-319-09952-1_15\">10.1007/978-3-319-09952-1_15</a>","ieee":"H. Hamann and G. Valentini, “Swarm in a Fly Bottle: Feedback-Based Analysis of Self-organizing Temporary Lock-ins,” in <i>Ninth Int. Conf. on Swarm Intelligence (ANTS 2014)</i>, 2014.","chicago":"Hamann, Heiko, and Gabriele Valentini. “Swarm in a Fly Bottle: Feedback-Based Analysis of Self-Organizing Temporary Lock-Ins.” In <i>Ninth Int. Conf. on Swarm Intelligence (ANTS 2014)</i>. Cham, 2014. <a href=\"https://doi.org/10.1007/978-3-319-09952-1_15\">https://doi.org/10.1007/978-3-319-09952-1_15</a>.","apa":"Hamann, H., &#38; Valentini, G. (2014). Swarm in a Fly Bottle: Feedback-Based Analysis of Self-organizing Temporary Lock-ins. In <i>Ninth Int. Conf. on Swarm Intelligence (ANTS 2014)</i>. Cham. <a href=\"https://doi.org/10.1007/978-3-319-09952-1_15\">https://doi.org/10.1007/978-3-319-09952-1_15</a>","bibtex":"@inproceedings{Hamann_Valentini_2014, place={Cham}, title={Swarm in a Fly Bottle: Feedback-Based Analysis of Self-organizing Temporary Lock-ins}, DOI={<a href=\"https://doi.org/10.1007/978-3-319-09952-1_15\">10.1007/978-3-319-09952-1_15</a>}, booktitle={Ninth Int. Conf. on Swarm Intelligence (ANTS 2014)}, author={Hamann, Heiko and Valentini, Gabriele}, year={2014} }","mla":"Hamann, Heiko, and Gabriele Valentini. “Swarm in a Fly Bottle: Feedback-Based Analysis of Self-Organizing Temporary Lock-Ins.” <i>Ninth Int. Conf. on Swarm Intelligence (ANTS 2014)</i>, 2014, doi:<a href=\"https://doi.org/10.1007/978-3-319-09952-1_15\">10.1007/978-3-319-09952-1_15</a>.","short":"H. Hamann, G. Valentini, in: Ninth Int. Conf. on Swarm Intelligence (ANTS 2014), Cham, 2014."},"place":"Cham","year":"2014","publication_identifier":{"issn":["0302-9743","1611-3349"],"isbn":["9783319099514","9783319099521"]},"publication_status":"published","language":[{"iso":"eng"}],"department":[{"_id":"63"},{"_id":"238"}],"user_id":"15415","_id":"20008","status":"public","publication":"Ninth Int. Conf. on Swarm Intelligence (ANTS 2014)","type":"conference"},{"_id":"20120","user_id":"15415","department":[{"_id":"63"},{"_id":"238"}],"language":[{"iso":"eng"}],"type":"journal_article","publication":"Artificial Life","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."}],"status":"public","date_updated":"2022-01-06T06:54:20Z","author":[{"full_name":"Hamann, Heiko","last_name":"Hamann","first_name":"Heiko"},{"full_name":"Schmickl, Thomas","last_name":"Schmickl","first_name":"Thomas"},{"full_name":"Crailsheim, Karl","last_name":"Crailsheim","first_name":"Karl"}],"date_created":"2020-10-19T08:41:18Z","volume":20,"title":"Analysis of Swarm Behaviors Based on an Inversion of the Fluctuation Theorem","doi":"10.1162/ARTL_a_00097","issue":"1","year":"2014","citation":{"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} }","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>.","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>","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>","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>.","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."},"intvolume":"        20","page":"77-93"},{"language":[{"iso":"eng"}],"department":[{"_id":"63"},{"_id":"238"}],"user_id":"15415","_id":"20121","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"}],"publication":"Proceedings of the 13th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2014)","type":"conference","title":"Self-Organized Collective Decision Making: The Weighted Voter Model","author":[{"first_name":"Marco","last_name":"Dorigo","full_name":"Dorigo, Marco"},{"first_name":"Heiko","full_name":"Hamann, Heiko","last_name":"Hamann"},{"first_name":"Gabriele","last_name":"Valentini","full_name":"Valentini, Gabriele"},{"first_name":"Alessio","full_name":"Lomuscio, Alessio","last_name":"Lomuscio"},{"full_name":"Scerri, Paul","last_name":"Scerri","first_name":"Paul"},{"first_name":"Ana","last_name":"Bazzan","full_name":"Bazzan, Ana"},{"first_name":"Michael","last_name":"Huhns","full_name":"Huhns, Michael"}],"date_created":"2020-10-19T08:49:05Z","date_updated":"2022-01-06T06:54:20Z","citation":{"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.","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.","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>.","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.","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.","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"},{"status":"public","publication":"Int. Conf. on Genetic and Evolutionary Computation (GECCO 2014)","type":"conference","language":[{"iso":"eng"}],"_id":"20126","department":[{"_id":"63"},{"_id":"238"}],"user_id":"15415","year":"2014","page":"31-32","citation":{"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.","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>","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.","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>."},"title":"Evolving Prediction Machines: Collective Behaviors Based on Minimal Surprisal","doi":"10.1145/2598394.2598507","date_updated":"2022-01-06T06:54:20Z","date_created":"2020-10-20T07:45:46Z","author":[{"full_name":"Hamann, Heiko","last_name":"Hamann","first_name":"Heiko"}]},{"year":"2014","intvolume":"      8667","page":"262-269","citation":{"ama":"Birattari M, Dorigo M, Hamann H, et al. 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>","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.","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>.","apa":"Birattari, M., Dorigo, M., Hamann, H., Garnier, S., Montes de Oca, M., Solnon, C., … Ding, H. (2014). Sorting in Swarm Robots Using Communication-Based Cluster Size Estimation. In <i>Ninth Int. Conf. on Swarm Intelligence (ANTS 2014)</i> (Vol. 8667, pp. 262–269). <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>","short":"M. Birattari, M. Dorigo, H. Hamann, S. Garnier, M. Montes de Oca, C. Solnon, T. Stuetzle, H. Ding, in: Ninth Int. Conf. on Swarm Intelligence (ANTS 2014), 2014, pp. 262–269.","bibtex":"@inproceedings{Birattari_Dorigo_Hamann_Garnier_Montes de Oca_Solnon_Stuetzle_Ding_2014, title={Sorting in Swarm Robots Using Communication-Based Cluster Size Estimation}, volume={8667}, DOI={<a href=\"https://doi.org/10.1007/978-3-319-09952-1_25\">10.1007/978-3-319-09952-1_25</a>}, booktitle={Ninth Int. Conf. on Swarm Intelligence (ANTS 2014)}, author={Birattari, Mauro and Dorigo, Marco and Hamann, Heiko and Garnier, Simon and Montes de Oca, Marco and Solnon, Christine and Stuetzle, Thomas and Ding, Hongli}, year={2014}, pages={262–269} }","mla":"Birattari, Mauro, et al. “Sorting in Swarm Robots Using Communication-Based Cluster Size Estimation.” <i>Ninth Int. Conf. on Swarm Intelligence (ANTS 2014)</i>, vol. 8667, 2014, pp. 262–69, doi:<a href=\"https://doi.org/10.1007/978-3-319-09952-1_25\">10.1007/978-3-319-09952-1_25</a>."},"date_updated":"2022-01-06T06:54:20Z","volume":8667,"date_created":"2020-10-20T07:54:18Z","author":[{"first_name":"Mauro","last_name":"Birattari","full_name":"Birattari, Mauro"},{"first_name":"Marco","last_name":"Dorigo","full_name":"Dorigo, Marco"},{"first_name":"Heiko","full_name":"Hamann, Heiko","last_name":"Hamann"},{"last_name":"Garnier","full_name":"Garnier, Simon","first_name":"Simon"},{"full_name":"Montes de Oca, Marco","last_name":"Montes de Oca","first_name":"Marco"},{"first_name":"Christine","last_name":"Solnon","full_name":"Solnon, Christine"},{"last_name":"Stuetzle","full_name":"Stuetzle, Thomas","first_name":"Thomas"},{"first_name":"Hongli","full_name":"Ding, Hongli","last_name":"Ding"}],"title":"Sorting in Swarm Robots Using Communication-Based Cluster Size Estimation","doi":"10.1007/978-3-319-09952-1_25","publication":"Ninth Int. Conf. on Swarm Intelligence (ANTS 2014)","type":"conference","status":"public","_id":"20127","department":[{"_id":"63"},{"_id":"238"}],"user_id":"15415","language":[{"iso":"eng"}]},{"date_created":"2020-10-20T08:26:59Z","author":[{"last_name":"Khaluf","full_name":"Khaluf, Yara","first_name":"Yara"},{"last_name":"Dorigo","full_name":"Dorigo, Marco","first_name":"Marco"},{"full_name":"Hamann, Heiko","last_name":"Hamann","first_name":"Heiko"},{"full_name":"Valentini, Gabriele","last_name":"Valentini","first_name":"Gabriele"},{"first_name":"T.","last_name":"Bartz-Beielstein","full_name":"Bartz-Beielstein, T."}],"volume":8672,"publisher":"Springer","date_updated":"2022-01-06T06:54:20Z","doi":"10.1007/978-3-319-10762-2_18","title":"Derivation of a Micro-Macro Link for Collective Decision-Making Systems: Uncover Network Features Based on Drift Measurements","citation":{"ieee":"Y. Khaluf, M. Dorigo, H. Hamann, G. Valentini, and T. Bartz-Beielstein, “Derivation of a Micro-Macro Link for Collective Decision-Making Systems: Uncover Network Features Based on Drift Measurements,” in <i>13th International Conference on Parallel Problem Solving from Nature (PPSN 2014)</i>, vol. 8672, Springer, 2014, pp. 181–190.","chicago":"Khaluf, Yara, Marco Dorigo, Heiko Hamann, Gabriele Valentini, and T. Bartz-Beielstein. “Derivation of a Micro-Macro Link for Collective Decision-Making Systems: Uncover Network Features Based on Drift Measurements.” In <i>13th International Conference on Parallel Problem Solving from Nature (PPSN 2014)</i>, 8672:181–90. Springer, 2014. <a href=\"https://doi.org/10.1007/978-3-319-10762-2_18\">https://doi.org/10.1007/978-3-319-10762-2_18</a>.","ama":"Khaluf Y, Dorigo M, Hamann H, Valentini G, Bartz-Beielstein T. Derivation of a Micro-Macro Link for Collective Decision-Making Systems: Uncover Network Features Based on Drift Measurements. 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