{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,4]],"date-time":"2024-09-04T23:39:16Z","timestamp":1725493156547},"publisher-location":"Berlin, Heidelberg","reference-count":12,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540766308"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"DOI":"10.1007\/978-3-540-76631-5_101","type":"book-chapter","created":{"date-parts":[[2007,10,22]],"date-time":"2007-10-22T02:33:07Z","timestamp":1193020387000},"page":"1056-1066","source":"Crossref","is-referenced-by-count":0,"title":["Integration of Symmetry and Macro-operators in Planning"],"prefix":"10.1007","author":[{"given":"Amirali","family":"Houshmandan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gholamreza","family":"Ghassem-Sani","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hootan","family":"Nakhost","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"101_CR1","unstructured":"Porteous, J., Long, D., Fox, M.: The Identification and Exploitation of Almost Symmetries in Planning Problems. In: Proceedings of the 23rd UK Planning and Scheduling SIG"},{"key":"101_CR2","unstructured":"Fox, M., Long, D.: The Detection and Exploitation of Symmetry in Planning Problems. In: Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, pp. 956\u2013961 (1999)"},{"key":"101_CR3","unstructured":"Joslin, D., Roy, A.: Exploiting symmetry in lifted CSPs. In: AAAI, pp. 197\u2013202 (1997)"},{"key":"101_CR4","doi-asserted-by":"crossref","first-page":"581","DOI":"10.1613\/jair.1696","volume":"24","author":"A. Botea","year":"2005","unstructured":"Botea, A., Enzenberger, M., Mueller, M., Schaeffer, J.: Macro-FF: Improving AI Planning with Automatically Learned Macro-Operators. Journal of Artificial Intelligence Research\u00a024, 581\u2013621 (2005)","journal-title":"Journal of Artificial Intelligence Research"},{"key":"101_CR5","unstructured":"Botea, A., M\u00fcller, M., Schaeffer, J.: Learning Partial-Order Macros from Solutions. In: Proceedings of the Fifteenth International Conference on Automated Planning and Scheduling, pp. 231\u2013240 (2005)"},{"key":"101_CR6","unstructured":"Coles, A., Smith, A.: Marvin: Macro Actions from Reduced Versions of the Instance. Working Paper. Department of Computer and Information Sciences, University of Strathclyde, Glasgow, Scotland"},{"key":"101_CR7","unstructured":"Smith, A.: Extending the Use of Plateau-Escaping Macro-Actions in Planning. In: Interna-tional Conference on Automated Planning & Scheduling, Cumbria, UK (2006)"},{"key":"101_CR8","doi-asserted-by":"crossref","unstructured":"Bonet, B., Geffner, H.: Planning as Heuristic Search. Artificial Intelligence, Special issue on Heuristic Search 129 (2001)","DOI":"10.1016\/S0004-3702(01)00108-4"},{"key":"101_CR9","first-page":"77","volume":"22","author":"B. Bonet","year":"2001","unstructured":"Bonet, B., Geffner, H.: HSP2. Description of HSP Planner in AIPS-2000 Competition, AI Magazine\u00a022, 77\u201380 (2001)","journal-title":"Description of HSP Planner in AIPS-2000 Competition, AI Magazine"},{"key":"101_CR10","unstructured":"Garc\u00eda Dur\u00e1n, R.: Integrating Macro-Operators and Control-Rules Learning. In: The International Conference on Automated Planning and Scheduling, Cumbria, UK (2006)"},{"key":"101_CR11","first-page":"1367","volume":"26","author":"L.P. Cordella","year":"2004","unstructured":"Cordella, L.P., Foggia, P., Sansone, C., Vento, M.: A (Sub)Graph Isomorphism Algorithm for Matching Large Graphs. IEEE\u00a026, 1367\u20131372 (2004)","journal-title":"IEEE"},{"key":"101_CR12","unstructured":"Foggia, P., Sansone, C., Vento, M.: A Performance Comparison of Five Algorithms for Graph Isomorphism. Graph-based Representations in Pattern Recognition (2001)"}],"container-title":["Lecture Notes in Computer Science","MICAI 2007: Advances in Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-540-76631-5_101.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,27]],"date-time":"2021-04-27T10:55:37Z","timestamp":1619520937000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-540-76631-5_101"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[null]]},"ISBN":["9783540766308"],"references-count":12,"URL":"https:\/\/doi.org\/10.1007\/978-3-540-76631-5_101","relation":{},"subject":[]}}