{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,4]],"date-time":"2024-09-04T20:33:58Z","timestamp":1725482038174},"publisher-location":"Berlin, Heidelberg","reference-count":17,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540497721"},{"type":"electronic","value":"9783540497745"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2007]]},"DOI":"10.1007\/978-3-540-49774-5_16","type":"book-chapter","created":{"date-parts":[[2007,4,2]],"date-time":"2007-04-02T16:18:34Z","timestamp":1175530714000},"page":"371-387","source":"Crossref","is-referenced-by-count":5,"title":["Evolving Multi Rover Systems in Dynamic and Noisy Environments"],"prefix":"10.1007","author":[{"given":"Kagan","family":"Tumer","sequence":"first","affiliation":[]},{"given":"Adrian","family":"Agogino","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"16_CR1_16","doi-asserted-by":"crossref","unstructured":"A. Agah and G. A. Bekey. A genetic algorithm-based controller for decentralized multi-agent robotic systems. In In Proc. of the IEEE International Conference of Evolutionary Computing, Nagoya, Japan, 1996.","DOI":"10.1109\/ICEC.1996.542403"},{"key":"16_CR2_16","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1023\/A:1009615730125","volume":"11","author":"A Agogino","year":"2000","unstructured":"A. Agogino, K. Stanley, and R. Miikkulainen. Online interactive neuroevolution. Neural Processing Letters, 11: 29-38, 2000.","journal-title":"Neural Processing Letters"},{"key":"16_CR3_16","doi-asserted-by":"crossref","unstructured":"A. Agogino and K. Tumer. Efficient evaluation functions for multi-rover systems. In The Genetic and Evolutionary Computation Conference, pages 1-12, Seatle, WA, June 2004.","DOI":"10.1007\/978-3-540-24854-5_1"},{"key":"16_CR4_16","doi-asserted-by":"crossref","unstructured":"T. Balch. Behavioral diversity as multiagent cooperation. In Proc. of SPIE\u201999 Workshop on Multiagent Systems, Boston, MA, 1999.","DOI":"10.1117\/12.360356"},{"key":"16_CR5_16","doi-asserted-by":"publisher","first-page":"255","DOI":"10.1162\/106454603322392460","volume":"9","author":"G Baldassarre","year":"2003","unstructured":"G. Baldassarre, S. Nolfi, and D. Parisi. Evolving mobile robots able to display collective behavior. Artificial Life, 9: 255-267, 2003.","journal-title":"Artificial Life"},{"issue":"1","key":"16_CR6_16","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1109\/4235.585892","volume":"1","author":"M Dorigo","year":"1997","unstructured":"M. Dorigo and L. M. Gambardella. Ant colony systems: A cooperative learning approach to the travelling salesman problem. IEEE Transactions on Evolutionary Computation, 1(1):53-66, 1997.","journal-title":"IEEE Transactions on Evolutionary Computation"},{"issue":"4","key":"16_CR7_16","doi-asserted-by":"publisher","first-page":"698","DOI":"10.1115\/1.1515330","volume":"124","author":"S Farritor","year":"2002","unstructured":"S. Farritor and S. Dubowsky. Planning methodology for planetary robotic exploration. In ASME Journal of Dynamic Systems, Measurement and Control, volume 124, pages 4: 698-701, 2002.","journal-title":"ASME Journal of Dynamic Systems, Measurement and Control"},{"key":"16_CR8_16","doi-asserted-by":"crossref","unstructured":"D. Floreano and F. Mondada. Automatic creation of an autonomous agent: Genetic evolution of a neural-network driven robot. In Proc. of Conf. on Simulation of Adaptive Behavior, 1994.","DOI":"10.7551\/mitpress\/3117.003.0061"},{"key":"16_CR9_16","doi-asserted-by":"crossref","unstructured":"F. Gomez and R. Miikkulainen. Active guidance for a finless rocket through neuroevolution. In Proceedings of the Genetic and Evolutionary Computation Conference, Chicago, Illinois, 2003.","DOI":"10.1007\/3-540-45110-2_105"},{"key":"16_CR10_16","doi-asserted-by":"crossref","unstructured":"F. Hoffmann, T.-J. Koo, and O. Shakernia. Evolutionary design of a helicopter autopilot. In Advances in Soft Computing - Engineering Design and Manufacturing, Part 3: Intelligent Control, pages 201-214, 1999.","DOI":"10.1007\/978-1-4471-0819-1_15"},{"key":"16_CR11_16","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1016\/S0921-8890(99)00038-X","volume":"29","author":"A Martinoli","year":"1999","unstructured":"A. Martinoli, A. J. Ijspeert, and F. Mondala. Understanding collective aggregation mechanisms: From probabilistic modelling to experiments with real robots. Robotics and Autonomous Systems, 29:51-63, 1999.","journal-title":"Robotics and Autonomous Systems"},{"key":"16_CR12_16","doi-asserted-by":"crossref","unstructured":"M. J. Mataric. Coordination and learning in multi-robot systems. In IEEE Intelligent Systems, pages 6-8, March 1998.","DOI":"10.1109\/5254.671083"},{"key":"16_CR13_16","unstructured":"K. Stanley and R. Miikkulainen. Efficient reinforcement learning through evolving neural network topologies. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2002), San Francisco, CA, 2002."},{"key":"16_CR14_16","doi-asserted-by":"crossref","unstructured":"K. Tumer and A. Agogino. Overcoming communication restrictions in collectives. In Proceedings of the International Joint Conference on Neural Networks, Budapest, Hungary, July 2004.","DOI":"10.1109\/IJCNN.2004.1380093"},{"key":"16_CR15_16","unstructured":"K. Tumer and D. H. Wolpert. Collective intelligence and Braess\u2019 paradox. In Proceedings of the Seventeenth National Conference on Artificial Intelligence, pages 104-109, Austin, TX, 2000."},{"key":"16_CR16_16","unstructured":"D. Whitley, F. Gruau, and L. Pyeatt. Cellular encoding applied to neurocontrol. In International Conference on Genetic Algorithms, 1995."},{"issue":"2\/3","key":"16_CR17_16","doi-asserted-by":"publisher","first-page":"265","DOI":"10.1142\/S0219525901000188","volume":"4","author":"DH Wolpert","year":"2001","unstructured":"D. H. Wolpert and K. Tumer. Optimal payoff functions for members of collectives. Advances in Complex Systems, 4(2\/3): 265-279, 2001.","journal-title":"Advances in Complex Systems"}],"container-title":["Studies in Computational Intelligence","Evolutionary Computation in Dynamic and Uncertain Environments"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-540-49774-5_16.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,12]],"date-time":"2024-02-12T16:00:14Z","timestamp":1707753614000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-540-49774-5_16"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2007]]},"ISBN":["9783540497721","9783540497745"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-540-49774-5_16","relation":{},"ISSN":["1860-949X","1860-9503"],"issn-type":[{"type":"print","value":"1860-949X"},{"type":"electronic","value":"1860-9503"}],"subject":[],"published":{"date-parts":[[2007]]}}}