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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>"},"publication":"Ninth Int. Conf. on Swarm Intelligence (ANTS 2014)","language":[{"iso":"eng"}],"_id":"20008","user_id":"15415","doi":"10.1007/978-3-319-09952-1_15","author":[{"first_name":"Heiko","last_name":"Hamann","full_name":"Hamann, Heiko"},{"full_name":"Valentini, Gabriele","last_name":"Valentini","first_name":"Gabriele"}],"publication_identifier":{"isbn":["9783319099514","9783319099521"],"issn":["0302-9743","1611-3349"]},"title":"Swarm in a Fly Bottle: Feedback-Based Analysis of Self-organizing Temporary Lock-ins","year":"2014","status":"public","publication_status":"published","date_updated":"2022-01-06T06:54:18Z"},{"title":"Analysis of Swarm Behaviors Based on an Inversion of the Fluctuation Theorem","status":"public","year":"2014","author":[{"full_name":"Hamann, Heiko","last_name":"Hamann","first_name":"Heiko"},{"first_name":"Thomas","last_name":"Schmickl","full_name":"Schmickl, Thomas"},{"full_name":"Crailsheim, Karl","first_name":"Karl","last_name":"Crailsheim"}],"date_updated":"2022-01-06T06:54:20Z","intvolume":"        20","page":"77-93","_id":"20120","language":[{"iso":"eng"}],"doi":"10.1162/ARTL_a_00097","user_id":"15415","volume":20,"publication":"Artificial Life","issue":"1","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} }","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>","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.","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.","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>"},"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."}],"date_created":"2020-10-19T08:41:18Z","type":"journal_article","department":[{"_id":"63"},{"_id":"238"}]},{"abstract":[{"lang":"eng","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."}],"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.","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>.","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.","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.","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.","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} }"},"publication":"Proceedings of the 13th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2014)","department":[{"_id":"63"},{"_id":"238"}],"type":"conference","date_created":"2020-10-19T08:49:05Z","date_updated":"2022-01-06T06:54:20Z","author":[{"full_name":"Dorigo, Marco","last_name":"Dorigo","first_name":"Marco"},{"full_name":"Hamann, Heiko","last_name":"Hamann","first_name":"Heiko"},{"full_name":"Valentini, Gabriele","first_name":"Gabriele","last_name":"Valentini"},{"full_name":"Lomuscio, Alessio","first_name":"Alessio","last_name":"Lomuscio"},{"full_name":"Scerri, Paul","last_name":"Scerri","first_name":"Paul"},{"full_name":"Bazzan, Ana","first_name":"Ana","last_name":"Bazzan"},{"full_name":"Huhns, Michael","first_name":"Michael","last_name":"Huhns"}],"title":"Self-Organized Collective Decision Making: The Weighted Voter Model","status":"public","year":"2014","user_id":"15415","language":[{"iso":"eng"}],"_id":"20121"},{"publication":"Int. Conf. on Genetic and Evolutionary Computation (GECCO 2014)","citation":{"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} }","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>","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.","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.","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>"},"type":"conference","department":[{"_id":"63"},{"_id":"238"}],"date_created":"2020-10-20T07:45:46Z","date_updated":"2022-01-06T06:54:20Z","title":"Evolving Prediction Machines: Collective Behaviors Based on Minimal Surprisal","year":"2014","status":"public","author":[{"first_name":"Heiko","last_name":"Hamann","full_name":"Hamann, Heiko"}],"user_id":"15415","doi":"10.1145/2598394.2598507","page":"31-32","_id":"20126","language":[{"iso":"eng"}]},{"department":[{"_id":"63"},{"_id":"238"}],"type":"conference","date_created":"2020-10-20T07:54:18Z","citation":{"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>.","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} }","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.","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.","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>."},"publication":"Ninth Int. Conf. on Swarm Intelligence (ANTS 2014)","volume":8667,"user_id":"15415","doi":"10.1007/978-3-319-09952-1_25","language":[{"iso":"eng"}],"_id":"20127","page":"262-269","intvolume":"      8667","date_updated":"2022-01-06T06:54:20Z","author":[{"full_name":"Birattari, Mauro","last_name":"Birattari","first_name":"Mauro"},{"full_name":"Dorigo, Marco","last_name":"Dorigo","first_name":"Marco"},{"full_name":"Hamann, Heiko","first_name":"Heiko","last_name":"Hamann"},{"full_name":"Garnier, Simon","last_name":"Garnier","first_name":"Simon"},{"first_name":"Marco","last_name":"Montes de Oca","full_name":"Montes de Oca, Marco"},{"full_name":"Solnon, Christine","first_name":"Christine","last_name":"Solnon"},{"full_name":"Stuetzle, Thomas","last_name":"Stuetzle","first_name":"Thomas"},{"last_name":"Ding","first_name":"Hongli","full_name":"Ding, Hongli"}],"year":"2014","status":"public","title":"Sorting in Swarm Robots Using Communication-Based Cluster Size Estimation"},{"date_created":"2020-10-20T08:26:59Z","type":"book_chapter","department":[{"_id":"63"},{"_id":"238"}],"publication":"13th International Conference on Parallel Problem Solving from Nature (PPSN 2014)","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.","apa":"Khaluf, Y., Dorigo, M., Hamann, H., Valentini, G., &#38; Bartz-Beielstein, T. (2014). 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, pp. 181–190). Springer. <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>","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>.","short":"Y. Khaluf, M. Dorigo, H. Hamann, G. Valentini, T. Bartz-Beielstein, in: 13th International Conference on Parallel Problem Solving from Nature (PPSN 2014), Springer, 2014, pp. 181–190.","mla":"Khaluf, Yara, et al. “Derivation of a Micro-Macro Link for Collective Decision-Making Systems: Uncover Network Features Based on Drift Measurements.” <i>13th International Conference on Parallel Problem Solving from Nature (PPSN 2014)</i>, vol. 8672, Springer, 2014, pp. 181–90, doi:<a href=\"https://doi.org/10.1007/978-3-319-10762-2_18\">10.1007/978-3-319-10762-2_18</a>.","bibtex":"@inbook{Khaluf_Dorigo_Hamann_Valentini_Bartz-Beielstein_2014, title={Derivation of a Micro-Macro Link for Collective Decision-Making Systems: Uncover Network Features Based on Drift Measurements}, volume={8672}, DOI={<a href=\"https://doi.org/10.1007/978-3-319-10762-2_18\">10.1007/978-3-319-10762-2_18</a>}, booktitle={13th International Conference on Parallel Problem Solving from Nature (PPSN 2014)}, publisher={Springer}, author={Khaluf, Yara and Dorigo, Marco and Hamann, Heiko and Valentini, Gabriele and Bartz-Beielstein, T.}, year={2014}, pages={181–190} }","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. In: <i>13th International Conference on Parallel Problem Solving from Nature (PPSN 2014)</i>. Vol 8672. Springer; 2014:181-190. doi:<a href=\"https://doi.org/10.1007/978-3-319-10762-2_18\">10.1007/978-3-319-10762-2_18</a>"},"page":"181-190","publisher":"Springer","_id":"20128","language":[{"iso":"eng"}],"user_id":"15415","doi":"10.1007/978-3-319-10762-2_18","volume":8672,"status":"public","title":"Derivation of a Micro-Macro Link for Collective Decision-Making Systems: Uncover Network Features Based on Drift Measurements","year":"2014","author":[{"full_name":"Khaluf, Yara","last_name":"Khaluf","first_name":"Yara"},{"first_name":"Marco","last_name":"Dorigo","full_name":"Dorigo, Marco"},{"last_name":"Hamann","first_name":"Heiko","full_name":"Hamann, Heiko"},{"first_name":"Gabriele","last_name":"Valentini","full_name":"Valentini, Gabriele"},{"full_name":"Bartz-Beielstein, T.","last_name":"Bartz-Beielstein","first_name":"T."}],"date_updated":"2022-01-06T06:54:20Z","intvolume":"      8672"},{"date_updated":"2022-01-06T06:54:20Z","year":"2014","status":"public","title":"Evolution of Collective Behaviors by Minimizing Surprise","author":[{"first_name":"Heiko","last_name":"Hamann","full_name":"Hamann, Heiko"},{"first_name":"Hiroki","last_name":"Sayama","full_name":"Sayama, Hiroki"},{"full_name":"Rieffel, John","last_name":"Rieffel","first_name":"John"},{"last_name":"Risi","first_name":"Sebastian","full_name":"Risi, Sebastian"},{"full_name":"Doursat, Rene","first_name":"Rene","last_name":"Doursat"},{"full_name":"Lipson, Hod","last_name":"Lipson","first_name":"Hod"}],"doi":"10.7551/978-0-262-32621-6-ch055","user_id":"15415","page":"344-351","publisher":"MIT Press","_id":"20129","language":[{"iso":"eng"}],"publication":"14th Int. Conf. on the Synthesis and Simulation of Living Systems (ALIFE 2014)","citation":{"ieee":"H. Hamann, H. Sayama, J. Rieffel, S. Risi, R. Doursat, and H. Lipson, “Evolution of Collective Behaviors by Minimizing Surprise,” in <i>14th Int. Conf. on the Synthesis and Simulation of Living Systems (ALIFE 2014)</i>, 2014, pp. 344–351.","apa":"Hamann, H., Sayama, H., Rieffel, J., Risi, S., Doursat, R., &#38; Lipson, H. (2014). Evolution of Collective Behaviors by Minimizing Surprise. In <i>14th Int. Conf. on the Synthesis and Simulation of Living Systems (ALIFE 2014)</i> (pp. 344–351). MIT Press. <a href=\"https://doi.org/10.7551/978-0-262-32621-6-ch055\">https://doi.org/10.7551/978-0-262-32621-6-ch055</a>","short":"H. Hamann, H. Sayama, J. Rieffel, S. Risi, R. Doursat, H. Lipson, in: 14th Int. Conf. on the Synthesis and Simulation of Living Systems (ALIFE 2014), MIT Press, 2014, pp. 344–351.","chicago":"Hamann, Heiko, Hiroki Sayama, John Rieffel, Sebastian Risi, Rene Doursat, and Hod Lipson. “Evolution of Collective Behaviors by Minimizing Surprise.” In <i>14th Int. Conf. on the Synthesis and Simulation of Living Systems (ALIFE 2014)</i>, 344–51. MIT Press, 2014. <a href=\"https://doi.org/10.7551/978-0-262-32621-6-ch055\">https://doi.org/10.7551/978-0-262-32621-6-ch055</a>.","mla":"Hamann, Heiko, et al. “Evolution of Collective Behaviors by Minimizing Surprise.” <i>14th Int. Conf. on the Synthesis and Simulation of Living Systems (ALIFE 2014)</i>, MIT Press, 2014, pp. 344–51, doi:<a href=\"https://doi.org/10.7551/978-0-262-32621-6-ch055\">10.7551/978-0-262-32621-6-ch055</a>.","bibtex":"@inproceedings{Hamann_Sayama_Rieffel_Risi_Doursat_Lipson_2014, title={Evolution of Collective Behaviors by Minimizing Surprise}, DOI={<a href=\"https://doi.org/10.7551/978-0-262-32621-6-ch055\">10.7551/978-0-262-32621-6-ch055</a>}, booktitle={14th Int. Conf. on the Synthesis and Simulation of Living Systems (ALIFE 2014)}, publisher={MIT Press}, author={Hamann, Heiko and Sayama, Hiroki and Rieffel, John and Risi, Sebastian and Doursat, Rene and Lipson, Hod}, year={2014}, pages={344–351} }","ama":"Hamann H, Sayama H, Rieffel J, Risi S, Doursat R, Lipson H. Evolution of Collective Behaviors by Minimizing Surprise. In: <i>14th Int. Conf. on the Synthesis and Simulation of Living Systems (ALIFE 2014)</i>. MIT Press; 2014:344-351. doi:<a href=\"https://doi.org/10.7551/978-0-262-32621-6-ch055\">10.7551/978-0-262-32621-6-ch055</a>"},"type":"conference","department":[{"_id":"63"},{"_id":"238"}],"date_created":"2020-10-20T09:02:49Z"},{"date_updated":"2022-01-06T06:54:20Z","intvolume":"      8575","title":"A Swarm Robotics Approach to Task Allocation Under Soft Deadlines and Negligible Switching Costs","status":"public","year":"2014","author":[{"full_name":"Cervera, Enric","first_name":"Enric","last_name":"Cervera"},{"full_name":"Khaluf, Yara","last_name":"Khaluf","first_name":"Yara"},{"full_name":"Birattari, Mauro","first_name":"Mauro","last_name":"Birattari"},{"last_name":"Hamann","first_name":"Heiko","full_name":"Hamann, Heiko"},{"last_name":"Pobil","first_name":"Angel P.  del","full_name":"Pobil, Angel P.  del"},{"full_name":"Chinellato, Eris","first_name":"Eris","last_name":"Chinellato"},{"full_name":"Martinez-Martin, Ester","last_name":"Martinez-Martin","first_name":"Ester"},{"full_name":"Hallam, John","last_name":"Hallam","first_name":"John"},{"last_name":"Morales","first_name":"Antonio","full_name":"Morales, Antonio"}],"doi":"10.1007/978-3-319-08864-8_26","user_id":"15415","volume":8575,"page":"270-279","_id":"20130","language":[{"iso":"eng"}],"publication":"Simulation of Adaptive Behavior (SAB 2014)","citation":{"mla":"Cervera, Enric, et al. “A Swarm Robotics Approach to Task Allocation Under Soft Deadlines and Negligible Switching Costs.” <i>Simulation of Adaptive Behavior (SAB 2014)</i>, vol. 8575, 2014, pp. 270–79, doi:<a href=\"https://doi.org/10.1007/978-3-319-08864-8_26\">10.1007/978-3-319-08864-8_26</a>.","bibtex":"@inproceedings{Cervera_Khaluf_Birattari_Hamann_Pobil_Chinellato_Martinez-Martin_Hallam_Morales_2014, title={A Swarm Robotics Approach to Task Allocation Under Soft Deadlines and Negligible Switching Costs}, volume={8575}, DOI={<a href=\"https://doi.org/10.1007/978-3-319-08864-8_26\">10.1007/978-3-319-08864-8_26</a>}, booktitle={Simulation of Adaptive Behavior (SAB 2014)}, author={Cervera, Enric and Khaluf, Yara and Birattari, Mauro and Hamann, Heiko and Pobil, Angel P. del and Chinellato, Eris and Martinez-Martin, Ester and Hallam, John and Morales, Antonio}, year={2014}, pages={270–279} }","ama":"Cervera E, Khaluf Y, Birattari M, et al. 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