{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T23:16:35Z","timestamp":1742944595632,"version":"3.40.3"},"publisher-location":"Cham","reference-count":22,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031568541"},{"type":"electronic","value":"9783031568558"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-3-031-56855-8_22","type":"book-chapter","created":{"date-parts":[[2024,3,23]],"date-time":"2024-03-23T18:01:52Z","timestamp":1711216912000},"page":"361-375","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Using Evolution and\u00a0Deep Learning to\u00a0Generate Diverse Intelligent Agents"],"prefix":"10.1007","author":[{"given":"Marshall","family":"Joseph","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Brian J.","family":"Ross","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,3,21]]},"reference":[{"key":"22_CR1","unstructured":"Abadi, M.: TensorFlow: large-scale machine learning on heterogeneous systems (2015). https:\/\/www.tensorflow.org\/, software available from tensorflow.org"},{"key":"22_CR2","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"437","DOI":"10.1007\/978-3-642-35289-8_26","volume-title":"Neural Networks: Tricks of the Trade","author":"Y Bengio","year":"2012","unstructured":"Bengio, Y.: Practical recommendations for gradient-based training of deep architectures. In: Montavon, G., Orr, G.B., M\u00fcller, K.-R. (eds.) Neural Networks: Tricks of the Trade. LNCS, vol. 7700, pp. 437\u2013478. Springer, Heidelberg (2012). https:\/\/doi.org\/10.1007\/978-3-642-35289-8_26"},{"issue":"2","key":"22_CR3","doi-asserted-by":"publisher","first-page":"223","DOI":"10.1137\/16M1080173","volume":"60","author":"L Bottou","year":"2018","unstructured":"Bottou, L., Curtis, F.E., Nocedal, J.: Optimization methods for large-scale machine learning. SIAM Rev. 60(2), 223\u2013311 (2018). https:\/\/doi.org\/10.1137\/16M1080173","journal-title":"SIAM Rev."},{"key":"22_CR4","doi-asserted-by":"publisher","unstructured":"Chen, X.E., Ross, B.J.: Deep neural network guided evolution of l-system trees. In: 2021 IEEE Congress on Evolutionary Computation (CEC), pp. 2507\u20132514 (2021). https:\/\/doi.org\/10.1109\/CEC45853.2021.9504827","DOI":"10.1109\/CEC45853.2021.9504827"},{"key":"22_CR5","unstructured":"Cowan, T.: Strategies for Evolving Diverse and Effective Behaviours in Pursuit Domains. Master\u2019s thesis, Brock University (2021)"},{"key":"22_CR6","unstructured":"Joseph, M.: Emergent Behaviour in Game AI: A Genetic Programming and CNN-based Approach to Intelligent Agent Design. Master\u2019s thesis, Brock University (2023)"},{"key":"22_CR7","unstructured":"Kingma, D.P., Ba, J.: Adam: a method for stochastic optimization. arXiv (2017). https:\/\/doi.org\/10.48550\/arXiv.1412.6980"},{"key":"22_CR8","unstructured":"Koza, J.R.: Genetic programming - on the programming of computers by means of natural selection. MIT Press (1992)"},{"issue":"2","key":"22_CR9","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1177\/105971239200100203","volume":"1","author":"JR Koza","year":"1992","unstructured":"Koza, J.R., Roughgarden, J., Rice, J.P.: Evolution of food-foraging strategies for the caribbean anolis lizard using genetic programming. Adapt. Behav. 1(2), 171\u2013199 (1992). https:\/\/doi.org\/10.1177\/105971239200100203","journal-title":"Adapt. Behav."},{"key":"22_CR10","doi-asserted-by":"crossref","unstructured":"LeCun, Y., Bottou, L., Bengio, Y., Haffner, P.: Gradient-based learning applied to document recognition. In: Proceedings of the IEEE, vol. 86, pp. 2278\u20132324 (1998). http:\/\/citeseerx.ist.psu.edu\/viewdoc\/summary?doi=10.1.1.42.7665","DOI":"10.1109\/5.726791"},{"key":"22_CR11","doi-asserted-by":"publisher","first-page":"189","DOI":"10.1162\/EVCO_a_00025","volume":"19","author":"J Lehman","year":"2011","unstructured":"Lehman, J., Stanley, K.: Abandoning objectives: evolution through the search for novelty alone. Evol. Comput. 19, 189\u2013223 (2011)","journal-title":"Evol. Comput."},{"key":"22_CR12","unstructured":"Luke, S.: ECJ evolutionary computation library (1998). http:\/\/cs.gmu.edu\/~eclab\/projects\/ecj\/ (Accessed 6 May 2022)"},{"key":"22_CR13","unstructured":"Mouret, J., Clune, J.: Illuminating search spaces by mapping elites. CoRR abs\/ arXiv: 1504.04909 (2015)"},{"key":"22_CR14","doi-asserted-by":"publisher","first-page":"387","DOI":"10.1007\/s10458-005-2631-2","volume":"11","author":"L Panait","year":"2005","unstructured":"Panait, L., Luke, S.: Cooperative multi-agent learning: The state of the art. Auton. Agent. Multi-Agent Syst. 11, 387\u2013434 (2005)","journal-title":"Auton. Agent. Multi-Agent Syst."},{"key":"22_CR15","doi-asserted-by":"crossref","unstructured":"Parker, G., Parashkevov, I.: Cyclic genetic algorithm with conditional branching in a predator-prey scenario. In: 2005 IEEE International Conference on Systems, Man and Cybernetics, vol. 3, pp. 2923\u20132928 (2005)","DOI":"10.1109\/ICSMC.2005.1571594"},{"key":"22_CR16","unstructured":"Poli, R., Langdon, W., McPhee, N.: A Field Guide to Genetic Programming. Lulu Enterprises UK Ltd. (2008)"},{"key":"22_CR17","doi-asserted-by":"publisher","unstructured":"Pozzuoli, A., Ross, B.J.: Increasing features in map-elites using an age-layered population structure. In: IEEE Congress on Evolutionary Computation, CEC 2023, Chicago, IL, USA, 1\u20135 July 2023, pp. 1\u20138. IEEE (2023). https:\/\/doi.org\/10.1109\/CEC53210.2023.10254093","DOI":"10.1109\/CEC53210.2023.10254093"},{"issue":"3","key":"22_CR18","doi-asserted-by":"publisher","first-page":"233","DOI":"10.1109\/TG.2017.2737145","volume":"10","author":"P Rohlfshagen","year":"2018","unstructured":"Rohlfshagen, P., Liu, J., Perez-Liebana, D., Lucas, S.M.: Pac-man conquers academia: two decades of research using a classic arcade game. IEEE Trans. Games 10(3), 233\u2013256 (2018)","journal-title":"IEEE Trans. Games"},{"key":"22_CR19","unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. arXiv: 1409.1556 (2014)"},{"key":"22_CR20","unstructured":"Van Rossum, G., Drake Jr, F.L.: Python reference manual. Centrum voor Wiskunde en Informatica Amsterdam (1995)"},{"key":"22_CR21","doi-asserted-by":"publisher","unstructured":"Werner, G.M., Dyer, M.G.: Evolution of herding behavior in artificial animals. In: From Animals to Animats 2: Proceedings of the Second International Conference on Simulation of Adaptive Behavior (SAB92). The MIT Press (Apr 1993). https:\/\/doi.org\/10.7551\/mitpress\/3116.003.0053","DOI":"10.7551\/mitpress\/3116.003.0053"},{"key":"22_CR22","doi-asserted-by":"crossref","unstructured":"Yannakakis, G.N., Togelius, J.: Artificial Intelligence and Games. Springer (2018). https:\/\/gameaibook.org","DOI":"10.1007\/978-3-319-63519-4"}],"container-title":["Lecture Notes in Computer Science","Applications of Evolutionary Computation"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-56855-8_22","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,14]],"date-time":"2024-11-14T23:03:10Z","timestamp":1731625390000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-56855-8_22"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031568541","9783031568558"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-56855-8_22","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"21 March 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"EvoApplications","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on the Applications of Evolutionary Computation (Part of EvoStar)","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Aberystwyth","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"United Kingdom","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 March 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 March 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"evoapplications2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.evostar.org\/2024\/evoapps\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Easy Chair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"77","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"51","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"66% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3.4","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"1.7","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}