{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,24]],"date-time":"2025-04-24T05:07:40Z","timestamp":1745471260955},"reference-count":16,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2016,1,16]],"date-time":"2016-01-16T00:00:00Z","timestamp":1452902400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Intell Robot Syst"],"published-print":{"date-parts":[[2016,7]]},"DOI":"10.1007\/s10846-015-0317-9","type":"journal-article","created":{"date-parts":[[2016,1,16]],"date-time":"2016-01-16T02:11:26Z","timestamp":1452910286000},"page":"55-70","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":19,"title":["A Learning Invader for the \u201cGuarding a Territory\u201d Game"],"prefix":"10.1007","volume":"83","author":[{"given":"Hashem","family":"Raslan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Howard","family":"Schwartz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sidney","family":"Givigi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2016,1,16]]},"reference":[{"key":"317_CR1","doi-asserted-by":"crossref","unstructured":"Berenji, H.: Fuzzy q-learning: a new approach for fuzzy dynamic programming. In: Proceedings of the Third IEEE Conference on Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence, vol. 1, pp 486\u2013491 (1994). doi: 10.1109\/FUZZY.1994.343737","DOI":"10.1109\/FUZZY.1994.343737"},{"key":"317_CR2","doi-asserted-by":"crossref","unstructured":"Desouky, S., Schwartz, H.: A novel hybrid learning technique applied to a self-learning multi-robot system. In: IEEE International Conference on Systems, Man and Cybernetics, 2009. SMC 2009, pp. 2616\u20132623 (2009). doi: 10.1109\/ICSMC.2009.5346111","DOI":"10.1109\/ICSMC.2009.5346111"},{"key":"317_CR3","doi-asserted-by":"crossref","unstructured":"Er, M.J., San, L.: Automatic generation of fuzzy inference systems using incremental-topological-preserving-map-based fuzzy q-learning. In: IEEE International Conference on Fuzzy Systems, 2008. FUZZ-IEEE 2008. (IEEE World Congress on Computational Intelligence), pp. 467\u2013474 (2008). doi: 10.1109\/FUZZY.2008.4630410","DOI":"10.1109\/FUZZY.2008.4630410"},{"key":"317_CR4","doi-asserted-by":"crossref","unstructured":"Fang, M., Li, H., Zhang, X.: A heuristic reinforcement learning based on state backtracking method. In: 2012 IEEE\/WIC\/ACM International Conferences on Web Intelligence and Intelligent Agent Technology (WI-IAT), vol. 1, pp. 673\u2013678 (2012). doi: 10.1109\/WI-IAT.2012.187","DOI":"10.1109\/WI-IAT.2012.187"},{"issue":"4","key":"317_CR5","doi-asserted-by":"crossref","first-page":"221","DOI":"10.1177\/1059712314526261","volume":"22","author":"S Givigi","year":"2014","unstructured":"Givigi, S., Schwartz, H.M.: Decentralized strategy selection with learning automata for multiple pursuer-evader games. Adapt. Behav. 22(4), 221\u2013234 (2014). doi: 10.1177\/1059712314526261 . http:\/\/adb.sagepub.com\/content\/22\/4\/221.abstract","journal-title":"Adapt. Behav."},{"key":"317_CR6","unstructured":"Isaacs, R.: Differential Games: A Mathematical Theory with Applications to Warfare and Pursuit, Control and Optimization (1999)"},{"key":"317_CR7","doi-asserted-by":"crossref","unstructured":"Lauri, F., Koukam, A.: Robust multi-agent patrolling strategies using reinforcement learning. In: Siarry, P., Idoumghar, L., Lepagnot, J. (eds.) Swarm Intelligence Based Optimization, Lecture Notes in Computer Science, vol. 8472, pp. 157\u2013165. Springer International Publishing (2014)","DOI":"10.1007\/978-3-319-12970-9_17"},{"key":"317_CR8","doi-asserted-by":"crossref","unstructured":"Lee, Y.S., Hsia, K.H., Hsieh, J.G.: A problem of guarding a territory with two invaders and two defenders. In: 1999 IEEE International Conference on Systems, Man, and Cybernetics, 1999. IEEE SMC \u201999 Conference Proceedings, vol. 3, pp. 863\u2013868 (1999). doi: 10.1109\/ICSMC.1999.823341","DOI":"10.1109\/ICSMC.1999.823341"},{"key":"317_CR9","doi-asserted-by":"crossref","unstructured":"Liu, J., Liu, S., Wu, H., Zhang, Y.: A pursuit-evasion algorithm based on hierarchical reinforcement learning. In: International Conference on Measuring Technology and Mechatronics Automation, 2009. ICMTMA \u201909, vol. 2, pp. 482\u2013486 (2009). doi: 10.1109\/ICMTMA.2009.213","DOI":"10.1109\/ICMTMA.2009.213"},{"key":"317_CR10","unstructured":"Nguyen, H.T., Walker, E.: A first course in fuzzy logic. Chapman and Hall, Boca Raton (2006). www.summon.com"},{"key":"317_CR11","doi-asserted-by":"crossref","unstructured":"Rzymowski, W.: A problem of guarding line segment. In: Proceedings of the 48th IEEE Conference on Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC\/CCC 2009, pp. 6444\u20136447 (2009). doi: 10.1109\/CDC.2009.5400251","DOI":"10.1109\/CDC.2009.5400251"},{"key":"317_CR12","doi-asserted-by":"crossref","unstructured":"Schwartz, H.: Multi-Agent Machine Learning: A Reinforcement Approach. Wiley (2014)","DOI":"10.1002\/9781118884614"},{"key":"317_CR13","doi-asserted-by":"crossref","unstructured":"Siciliano, B., Sciavicco, L., Villani, L., Oriolo, G.: Robotics Modelling, Planning and Control. Springer (2009)","DOI":"10.1007\/978-1-84628-642-1"},{"issue":"1","key":"317_CR14","doi-asserted-by":"crossref","first-page":"116","DOI":"10.1109\/TSMC.1985.6313399","volume":"SMC-15","author":"T Takagi","year":"1985","unstructured":"Takagi, T., Sugeno, M.: Fuzzy identification of systems and its applications to modeling and control. IEEE Trans. Syst. Man Cybern. SMC-15(1), 116\u2013132 (1985). doi: 10.1109\/TSMC.1985.6313399","journal-title":"IEEE Trans. Syst. Man Cybern."},{"key":"317_CR15","unstructured":"Wang, L.: A Course in Fuzzy Systems and Control. Prentice Hall PTR (1997)"},{"key":"317_CR16","doi-asserted-by":"crossref","unstructured":"Wang, S., Panzica, A., Padir, T.: Motion control for intelligent ground vehicles based on the selection of paths using fuzzy inference. In: 2013 IEEE International Conference on Technologies for Practical Robot Applications (TePRA), pp. 1\u20136 (2013). doi: 10.1109\/TePRA.2013.6556354","DOI":"10.1109\/TePRA.2013.6556346"}],"container-title":["Journal of Intelligent & Robotic Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10846-015-0317-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10846-015-0317-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10846-015-0317-9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,3]],"date-time":"2019-09-03T19:01:58Z","timestamp":1567537318000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10846-015-0317-9"}},"subtitle":["A Reinforcement Learning Problem"],"short-title":[],"issued":{"date-parts":[[2016,1,16]]},"references-count":16,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2016,7]]}},"alternative-id":["317"],"URL":"https:\/\/doi.org\/10.1007\/s10846-015-0317-9","relation":{},"ISSN":["0921-0296","1573-0409"],"issn-type":[{"value":"0921-0296","type":"print"},{"value":"1573-0409","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,1,16]]}}}