{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,21]],"date-time":"2026-04-21T07:34:25Z","timestamp":1776756865976,"version":"3.51.2"},"publisher-location":"New York, NY, USA","reference-count":191,"publisher":"ACM","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,7,14]]},"DOI":"10.1145\/3712255.3734320","type":"proceedings-article","created":{"date-parts":[[2025,8,11]],"date-time":"2025-08-11T15:15:44Z","timestamp":1754925344000},"page":"2108-2118","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["On the Parallels Between Evolutionary Theory and the State of AI"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-5215-276X","authenticated-orcid":false,"given":"Zeki Doruk","family":"Erden","sequence":"first","affiliation":[{"name":"EPFL, Lausanne, Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7188-7230","authenticated-orcid":false,"given":"Boi","family":"Faltings","sequence":"additional","affiliation":[{"name":"EPFL, Lausanne, Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2025,8,11]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"crossref","unstructured":"Thomas Adair and Jean-Pierre Montani. 2010. Angiogenesis.","DOI":"10.4199\/C00017ED1V01Y201009ISP010"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1006\/jtbi.1997.0620"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.3389\/fgene.2021.701331"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"crossref","unstructured":"Michael L Anderson. 2010. Neural reuse: a fundamental organizational principle of the brain. Behavioral and brain sciences 33 4 245\u2013266.","DOI":"10.1017\/S0140525X10000853"},{"key":"e_1_3_2_1_5_1","volume-title":"International conference on machine learning. PMLR, 166\u2013175","author":"Andreas Jacob","year":"2017","unstructured":"Jacob Andreas, Dan Klein, and Sergey Levine. 2017. Modular multitask reinforcement learning with policy sketches. In International conference on machine learning. PMLR, 166\u2013175."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1002\/jnr.24240"},{"key":"e_1_3_2_1_7_1","unstructured":"[n. d.] Artificial Intelligence (AI) in Manufacturing Market Report By 2034 \u2014 precedenceresearch.com. https:\/\/www.precedenceresearch.com\/artificial-intelligence-in-manufacturing-market. [Accessed 20-02-2025]. ()."},{"key":"e_1_3_2_1_8_1","volume-title":"Photomask Japan 2017: XXIV Symposium on Photomask and Next-Generation Lithography Mask Technology.","author":"Baji Toru","unstructured":"Toru Baji. 2017. Gpu: the biggest key processor for ai and parallel processing. In Photomask Japan 2017: XXIV Symposium on Photomask and Next-Generation Lithography Mask Technology. Vol. 10454. SPIE, 24\u201329."},{"key":"e_1_3_2_1_9_1","volume-title":"Proc. of the 8-th Conf. on Intelligent Autonomous Systems. Citeseer, 438\u2013445","author":"Bakker Bram","year":"2004","unstructured":"Bram Bakker, J\u00fcrgen Schmidhuber, et al. 2004. Hierarchical reinforcement learning based on subgoal discovery and subpolicy specialization. In Proc. of the 8-th Conf. on Intelligent Autonomous Systems. Citeseer, 438\u2013445."},{"key":"e_1_3_2_1_10_1","unstructured":"Malyaban Bal and Abhronil Sengupta. 2024. Rethinking spiking neural networks as state space models. arXiv e-prints arXiv-2406."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF00114184"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.2514\/1.35318"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.86.11.4297"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1038\/nrg.2016.149"},{"key":"e_1_3_2_1_15_1","unstructured":"Frank Macfarlane Burnet. 1957. A modification of jerne's theory of antibody production using the concept of clonal selection."},{"key":"e_1_3_2_1_16_1","unstructured":"Pietro Buzzega Matteo Boschini Angelo Porrello Davide Abati and Simone Calderara. 2020. Dark experience for general continual learning: a strong simple baseline. Advances in neural information processing systems 33 15920\u201315930."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR48806.2021.9412614"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"crossref","unstructured":"William H Calvin. 1987. The brain as a darwin machine. Nature 330 6143 33\u201334.","DOI":"10.1038\/330033a0"},{"key":"e_1_3_2_1_19_1","volume-title":"The cerebral code: Thinking a thought in the mosaics of the mind","author":"Calvin William H","unstructured":"William H Calvin. 1998. The cerebral code: Thinking a thought in the mosaics of the mind. Mit Press."},{"key":"e_1_3_2_1_20_1","volume-title":"Endless Forms Most Beautiful: The New Science of Evo Devo and the Making of the Animal Kingdom","author":"Carroll S.B.","unstructured":"S.B. Carroll. 2005. Endless Forms Most Beautiful: The New Science of Evo Devo and the Making of the Animal Kingdom. ISSR Library. W.W. Norton & Company. isbn: 9780393060164. https:\/\/books.google.ch\/books?id=CnnGKjzw3xMC."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"crossref","unstructured":"Sean B Carroll. 1995. Homeotic genes and the evolution of arthropods and chordates. Nature 376 6540 479\u2013485.","DOI":"10.1038\/376479a0"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.mlwa.2021.100134"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.70.10.2974"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"crossref","unstructured":"Gal Chechik Isaac Meilijson and Eytan Ruppin. 1998. Synaptic pruning in development: a computational account. Neural computation 10 7 1759\u20131777.","DOI":"10.1162\/089976698300017124"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.18576\/amis\/110602"},{"key":"e_1_3_2_1_26_1","first-page":"905","article-title":"Limb muscle development","volume":"46","author":"Christ Bodo","year":"2002","unstructured":"Bodo Christ and Beate Brand-Saberi. 2002. Limb muscle development. International Journal of Developmental Biology, 46, 7, 905\u2013914.","journal-title":"International Journal of Developmental Biology"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0092-8240(05)80173-9"},{"key":"e_1_3_2_1_28_1","unstructured":"Jeff Clune. 2019. Ai-gas: ai-generating algorithms an alternate paradigm for producing general artificial intelligence. arXiv preprint arXiv:1905.10985."},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1098\/rspb.2012.2863"},{"key":"e_1_3_2_1_30_1","volume-title":"International conference on machine learning. PMLR, 1331\u20131340","author":"Colas C\u00e9dric","year":"2019","unstructured":"C\u00e9dric Colas, Pierre Fournier, Mohamed Chetouani, Olivier Sigaud, and Pierre-Yves Oudeyer. 2019. Curious: intrinsically motivated modular multi-goal reinforcement learning. In International conference on machine learning. PMLR, 1331\u20131340."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1613\/jair.1.13554"},{"key":"e_1_3_2_1_32_1","unstructured":"Brandon C Colelough and William Regli. 2025. Neuro-symbolic ai in 2024: a systematic review. arXiv preprint arXiv:2501.05435."},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1111\/febs.15299"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"crossref","unstructured":"George Cybenko. 1989. Approximation by superpositions of a sigmoidal function. Mathematics of control signals and systems 2 4 303\u2013314.","DOI":"10.1007\/BF02551274"},{"key":"e_1_3_2_1_35_1","volume-title":"Multilevel selection as bayesian inference, major transitions in individuality as structure learning","author":"Cz\u00e9gel D\u00e1niel","year":"1902","unstructured":"D\u00e1niel Cz\u00e9gel, Istv\u00e1n Zachar, and E\u00f6rs Szathm\u00e1ry. 2019. Multilevel selection as bayesian inference, major transitions in individuality as structure learning. Royal Society open science, 6, 8, 190202."},{"key":"e_1_3_2_1_36_1","volume-title":"The First Workshop on NeuroAI@ NeurIPS2024","author":"Damle Sankarshan","unstructured":"Sankarshan Damle, Satya Lokam, and Navin Goyal. [n. d.] How do active dendrite networks mitigate catastrophic forgetting? In The First Workshop on NeuroAI@ NeurIPS2024."},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF00647962"},{"key":"e_1_3_2_1_38_1","volume-title":"On the origin of species: A facsimile of the","author":"Darwin Charles","unstructured":"Charles Darwin. 1964. On the origin of species: A facsimile of the first edition. Harvard University Press."},{"key":"e_1_3_2_1_39_1","volume-title":"The regulatory genome: gene regulatory networks in development and evolution","author":"Davidson Eric H","unstructured":"Eric H Davidson. 2010. The regulatory genome: gene regulatory networks in development and evolution. Elsevier."},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2015.7280535"},{"key":"e_1_3_2_1_41_1","volume-title":"Neuronal boost to evolutionary dynamics. Interface focus, 5, 6","author":"de Vladar Harold P","year":"2015","unstructured":"Harold P de Vladar and E\u00f6rs Szathm\u00e1ry. 2015. Neuronal boost to evolutionary dynamics. Interface focus, 5, 6, 20150074."},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2017.7989250"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"crossref","unstructured":"Olga Dolgova and Oscar Lao. 2018. Medicine in the light of evolution. (2018).","DOI":"10.3390\/genes10010003"},{"key":"e_1_3_2_1_44_1","volume-title":"International conference on machine learning. PMLR, 1329\u20131338","author":"Du Simon","year":"2018","unstructured":"Simon Du and Jason Lee. 2018. On the power of over-parametrization in neural networks with quadratic activation. In International conference on machine learning. PMLR, 1329\u20131338."},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"crossref","unstructured":"Yanqing Duan John S Edwards and Yogesh K Dwivedi. 2019. Artificial intelligence for decision making in the era of big data-evolution challenges and research agenda. International journal of information management 48 63\u201371.","DOI":"10.1016\/j.ijinfomgt.2019.01.021"},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1016\/0896-6273(93)90304-A"},{"key":"e_1_3_2_1_47_1","volume-title":"Neural Darwinism: the theory of neuronal group selection","author":"Edelman Gerald M.","unstructured":"Gerald M. Edelman. 1987. Neural Darwinism: the theory of neuronal group selection. Basic Books. isbn: 978-0-465-04934-9. http:\/\/www.worldcat.org\/isbn\/9780465049349."},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.1093\/evolut\/qpac039"},{"key":"e_1_3_2_1_49_1","volume-title":"AAMAS 2025 Adaptive and Learning Agents Workshop (To appear).","author":"Erden Zeki Doruk","year":"2025","unstructured":"Zeki Doruk Erden and Boi Faltings. 2025. Agential ai for integrated continual learning, deliberative behavior, and comprehensible models. In AAMAS 2025 Adaptive and Learning Agents Workshop (To appear)."},{"key":"e_1_3_2_1_50_1","volume-title":"Proceedings of 24th International Conference on Autonomous Agents and Multiagent Systems (AAMAS). To appear. (May","author":"Erden Zeki Doruk","year":"2025","unstructured":"Zeki Doruk Erden and Boi Faltings. 2025. Agential ai for integrated continual learning, deliberative behavior, and comprehensible models (extended abstract). In Proceedings of 24th International Conference on Autonomous Agents and Multiagent Systems (AAMAS). To appear. (May 2025)."},{"key":"e_1_3_2_1_51_1","unstructured":"Zeki Doruk Erden and Boi Faltings. 2025. Continually learning structured visual representations via network refinement with rerelation. (2025). https:\/\/arxiv.org\/abs\/2502.13935 arXiv: 2502.13935 [cs.CV]."},{"key":"e_1_3_2_1_52_1","volume-title":"AAAI 2024 (Deployable AI Workshop).","author":"Erden Zeki Doruk","year":"2024","unstructured":"Zeki Doruk Erden and Boi Faltings. 2024. Directed structural adaptation to overcome statistical conflicts and enable continual learning. In AAAI 2024 (Deployable AI Workshop)."},{"key":"e_1_3_2_1_53_1","volume-title":"Brain Informatics: 17th International Conference, BI","author":"Erden Zeki Doruk","year":"2024","unstructured":"Zeki Doruk Erden and Boi Faltings. 2024. Modelleyen: continual learning and planning via structured modelling of environment dynamics. In Brain Informatics: 17th International Conference, BI 2024, Bangkok, Thailand, December 13\u201315, 2024, Proceedings. Sirawaj Itthipuripat, Giorgio Ascoli, Anan Li, Narun Pat, and Hongzhi Kuai, (Eds.) Springer Singapore."},{"key":"e_1_3_2_1_54_1","volume-title":"Harold P De Vladar, and E\u00f6rs Szathm\u00e1ry","author":"Fedor Anna","year":"2017","unstructured":"Anna Fedor, Istv\u00e1n Zachar, Andr\u00e1s Szil\u00e1gyi, Michael \u00d6llinger, Harold P De Vladar, and E\u00f6rs Szathm\u00e1ry. 2017. Cognitive architecture with evolutionary dynamics solves insight problem. Frontiers in psychology, 8, 427."},{"key":"e_1_3_2_1_55_1","doi-asserted-by":"crossref","unstructured":"Chrisantha Fernando Richard Goldstein and E\u00f6rs Szathm\u00e1ry. 2010. The neuronal replicator hypothesis. Neural computation 22 11 2809\u20132857.","DOI":"10.1162\/NECO_a_00031"},{"key":"e_1_3_2_1_56_1","doi-asserted-by":"crossref","unstructured":"Chrisantha Fernando E\u00f6rs Szathm\u00e1ry and Phil Husbands. 2012. Selectionist and evolutionary approaches to brain function: a critical appraisal. Frontiers in computational neuroscience 6 24.","DOI":"10.3389\/fncom.2012.00024"},{"key":"e_1_3_2_1_57_1","doi-asserted-by":"crossref","unstructured":"Napoleone Ferrara Hans-Peter Gerber and Jennifer LeCouter. 2003. The biology of vegf and its receptors. Nature medicine 9 6 669\u2013676.","DOI":"10.1038\/nm0603-669"},{"key":"e_1_3_2_1_58_1","volume-title":"Conference on Lifelong Learning Agents. PMLR, 534\u2013547","author":"Galashov Alexandre","year":"2023","unstructured":"Alexandre Galashov, Jovana Mitrovic, Dhruva Tirumala, Yee Whye Teh, Timothy Nguyen, Arslan Chaudhry, and Razvan Pascanu. 2023. Continually learning representations at scale. In Conference on Lifelong Learning Agents. PMLR, 534\u2013547."},{"key":"e_1_3_2_1_59_1","doi-asserted-by":"publisher","DOI":"10.1111\/jeb.12566"},{"key":"e_1_3_2_1_60_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-15844-5_36"},{"key":"e_1_3_2_1_61_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.0701035104"},{"key":"e_1_3_2_1_62_1","volume-title":"Automated planning and acting","author":"Ghallab Malik","unstructured":"Malik Ghallab, Dana Nau, and Paolo Traverso. 2016. Automated planning and acting. Cambridge University Press."},{"key":"e_1_3_2_1_63_1","volume-title":"Developmental Biology","author":"Gilbert Scott F.","unstructured":"Scott F. Gilbert. 2000. Developmental Biology. (6th ed.). A New Evolutionary Synthesis. Sinauer Associates, Sunderland, MA. https:\/\/www.ncbi.nlm.nih.gov\/books\/NBK10128\/.","edition":"6"},{"key":"e_1_3_2_1_64_1","doi-asserted-by":"crossref","unstructured":"J Tiago Gon\u00e7alves Cooper W Bloyd Matthew Shtrahman Stephen T Johnston Simon T Schafer Sarah L Parylak Thanh Tran Tina Chang and Fred H Gage. 2016. In vivo imaging of dendritic pruning in dentate granule cells. Nature neuroscience 19 6 788\u2013791.","DOI":"10.1038\/nn.4301"},{"key":"e_1_3_2_1_65_1","doi-asserted-by":"crossref","unstructured":"IM Gould. 2009. Antibiotic resistance: the perfect storm. International journal of antimicrobial agents 34 S2\u2013S5.","DOI":"10.1016\/S0924-8579(09)70549-7"},{"key":"e_1_3_2_1_66_1","doi-asserted-by":"publisher","DOI":"10.1017\/S0094837300005224"},{"key":"e_1_3_2_1_67_1","unstructured":"Anirudh Goyal Alex Lamb Phanideep Gampa Philippe Beaudoin Sergey Levine Charles Blundell Yoshua Bengio and Michael Mozer. 2020. Object files and schemata: factorizing declarative and procedural knowledge in dynamical systems. arXiv preprint arXiv:2006.16225."},{"key":"e_1_3_2_1_68_1","volume-title":"Sergey Levine, and Yoshua Bengio.","author":"Goyal Anirudh","year":"2019","unstructured":"Anirudh Goyal, Shagun Sodhani, Jonathan Binas, Xue Bin Peng, Sergey Levine, and Yoshua Bengio. 2019. Reinforcement learning with competitive ensembles of information-constrained primitives. arXiv preprint arXiv:1906.10667."},{"key":"e_1_3_2_1_69_1","first-page":"504","article-title":"Hierarchies in biology","volume":"75","author":"Grene Marjorie","year":"1987","unstructured":"Marjorie Grene. 1987. Hierarchies in biology. American Scientist, 75, 5, 504\u2013510.","journal-title":"American Scientist"},{"key":"e_1_3_2_1_70_1","doi-asserted-by":"publisher","DOI":"10.1146\/annurev.ecolsys.36.102403.114735"},{"key":"e_1_3_2_1_71_1","doi-asserted-by":"crossref","unstructured":"Frederic Gruau. 1994. Automatic definition of modular neural networks. Adaptive behavior 3 2 151\u2013183.","DOI":"10.1177\/105971239400300202"},{"key":"e_1_3_2_1_72_1","volume-title":"Proceedings of the 1st annual conference on genetic programming, 81\u201389","author":"Gruau Frederic","year":"1996","unstructured":"Frederic Gruau, Darrell Whitley, and Larry Pyeatt. 1996. A comparison between cellular encoding and direct encoding for genetic neural networks. In Proceedings of the 1st annual conference on genetic programming, 81\u201389."},{"key":"e_1_3_2_1_73_1","doi-asserted-by":"crossref","unstructured":"Yan Gu Stephen Janoschka and Shaoyu Ge. 2013. Neurogenesis and hippocampal plasticity in adult brain. Neurogenesis and neural plasticity 31\u201348.","DOI":"10.1007\/7854_2012_217"},{"key":"e_1_3_2_1_74_1","doi-asserted-by":"crossref","unstructured":"Raia Hadsell Dushyant Rao Andrei A Rusu and Razvan Pascanu. 2020. Embracing change: continual learning in deep neural networks. Trends in cognitive sciences 24 12 1028\u20131040.","DOI":"10.1016\/j.tics.2020.09.004"},{"key":"e_1_3_2_1_75_1","doi-asserted-by":"crossref","unstructured":"Georg Halder Patrick Callaerts and Walter J Gehring. 1995. Induction of ectopic eyes by targeted expression of the eyeless gene in drosophila. Science 267 5205 1788\u20131792.","DOI":"10.1126\/science.7892602"},{"key":"e_1_3_2_1_76_1","doi-asserted-by":"publisher","DOI":"10.1038\/srep12186"},{"key":"e_1_3_2_1_77_1","doi-asserted-by":"crossref","unstructured":"Jeff Hawkins and Subutai Ahmad. 2016. Why neurons have thousands of synapses a theory of sequence memory in neocortex. Frontiers in neural circuits 10 23.","DOI":"10.3389\/fncir.2016.00023"},{"key":"e_1_3_2_1_78_1","first-page":"53","article-title":"Evolutionary transitions: how do levels of complexity emerge","volume":"6","author":"Heylighen Francis","year":"2000","unstructured":"Francis Heylighen. 2000. Evolutionary transitions: how do levels of complexity emerge? COMPLEXITY-NEW YORK-, 6, 1, 53\u201357.","journal-title":"COMPLEXITY-NEW YORK-"},{"key":"e_1_3_2_1_79_1","doi-asserted-by":"crossref","unstructured":"Peter Robin Hiesinger. 2021. The self-assembling brain: how neural networks grow smarter.","DOI":"10.1515\/9780691215518"},{"key":"e_1_3_2_1_80_1","doi-asserted-by":"publisher","DOI":"10.1101\/cshperspect.a007922"},{"key":"e_1_3_2_1_81_1","volume-title":"Threats to optimal development","author":"Huttenlocher Peter R","unstructured":"Peter R Huttenlocher. 2013. Synaptogenesis, synapse elimination, and neural plasticity in human cerebral cortex. In Threats to optimal development. Routledge, 35\u201354."},{"key":"e_1_3_2_1_82_1","unstructured":"Julian Huxley. 1942. Evolution: the modern synthesis. (1942)."},{"key":"e_1_3_2_1_83_1","doi-asserted-by":"publisher","DOI":"10.1242\/jcs.00359"},{"key":"e_1_3_2_1_84_1","volume-title":"Normal and abnormal development of the cortex","author":"Innocenti GM","unstructured":"GM Innocenti and L Tettoni. 1997. Exuberant growth, specificity, and selection in the differentiation of cortical axons. In Normal and abnormal development of the cortex. Springer, 99\u2013120."},{"key":"e_1_3_2_1_85_1","doi-asserted-by":"publisher","DOI":"10.1098\/rspb.2011.1999"},{"key":"e_1_3_2_1_86_1","unstructured":"[n. d.] It's time to admit that genes are not the blueprint for life \u2014 nature.com. https:\/\/www.nature.com\/articles\/d41586-024-00327-x#. [Accessed 21-02-2025]. ()."},{"key":"e_1_3_2_1_87_1","volume-title":"Jeremy Forest, and Subutai Ahmad.","author":"Iyer Abhiram","year":"2022","unstructured":"Abhiram Iyer, Karan Grewal, Akash Velu, Lucas Oliveira Souza, Jeremy Forest, and Subutai Ahmad. 2022. Avoiding catastrophe: active dendrites enable multitask learning in dynamic environments. Frontiers in neurorobotics, 16, 846219."},{"key":"e_1_3_2_1_88_1","doi-asserted-by":"publisher","DOI":"10.1109\/SMC53654.2022.9945326"},{"key":"e_1_3_2_1_89_1","doi-asserted-by":"publisher","DOI":"10.1017\/S026988891200001X"},{"key":"e_1_3_2_1_90_1","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-12-812537-3.00012-3"},{"key":"e_1_3_2_1_91_1","doi-asserted-by":"crossref","unstructured":"William A Johnston and Veronica J Dark. 1986. Selective attention. Annual review of psychology.","DOI":"10.1146\/annurev.ps.37.020186.000355"},{"key":"e_1_3_2_1_92_1","doi-asserted-by":"publisher","DOI":"10.1098\/rsif.2023.0505"},{"key":"e_1_3_2_1_93_1","doi-asserted-by":"crossref","unstructured":"Marcus Kaiser Claus C Hilgetag and Arjen Van Ooyen. 2009. A simple rule for axon outgrowth and synaptic competition generates realistic connection lengths and filling fractions. Cerebral cortex 19 12 3001\u20133010.","DOI":"10.1093\/cercor\/bhp071"},{"key":"e_1_3_2_1_94_1","doi-asserted-by":"crossref","unstructured":"Gabrielle Kardon Brian D Harfe and Clifford J Tabin. 2003. A tcf4-positive mesodermal population provides a prepattern for vertebrate limb muscle patterning. Developmental cell 5 6 937\u2013944.","DOI":"10.1016\/S1534-5807(03)00360-5"},{"key":"e_1_3_2_1_95_1","first-page":"e4","article-title":"Machine learning in computer vision: a review","volume":"8","author":"Khan Abdullah Ayub","year":"2021","unstructured":"Abdullah Ayub Khan, Asif Ali Laghari, and Shafique Ahmed Awan. 2021. Machine learning in computer vision: a review. EAI Endorsed Transactions on Scalable Information Systems, 8, 32, e4\u2013e4.","journal-title":"EAI Endorsed Transactions on Scalable Information Systems"},{"key":"e_1_3_2_1_96_1","doi-asserted-by":"publisher","DOI":"10.3390\/mi12060665"},{"key":"e_1_3_2_1_97_1","volume-title":"Proceedings of the national academy of sciences, 114","author":"James","unstructured":"James Kirkpatrick et al. 2017. Overcoming catastrophic forgetting in neural networks. Proceedings of the national academy of sciences, 114, 13, 3521\u20133526."},{"key":"e_1_3_2_1_98_1","doi-asserted-by":"publisher","DOI":"10.1186\/1745-6150-2-21"},{"key":"e_1_3_2_1_99_1","volume-title":"The Singularity Is Near: When Humans Transcend Biology","author":"Kurzweil Ray","unstructured":"Ray Kurzweil. 2006. The Singularity Is Near: When Humans Transcend Biology. Penguin (Non-Classics). isbn: 0143037889."},{"key":"e_1_3_2_1_100_1","doi-asserted-by":"publisher","DOI":"10.1098\/rspb.2015.1019"},{"key":"e_1_3_2_1_101_1","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.10-07-02156.1990"},{"key":"e_1_3_2_1_102_1","doi-asserted-by":"publisher","DOI":"10.1038\/nrn2283"},{"key":"e_1_3_2_1_103_1","doi-asserted-by":"publisher","DOI":"10.1007\/s12052-008-0091-2"},{"key":"e_1_3_2_1_104_1","unstructured":"[n. d.] Large Language Model Statistics And Numbers (2025) - Springs \u2014 springsapps.com. https:\/\/springsapps.com\/knowledge\/large-language-model-statistics-and-numbers-2024. [Accessed 20-02-2025]. ()."},{"key":"e_1_3_2_1_105_1","first-page":"1","article-title":"A path towards autonomous machine intelligence version 0.9. 2, 2022-06-27","volume":"62","author":"LeCun Yann","year":"2022","unstructured":"Yann LeCun. 2022. A path towards autonomous machine intelligence version 0.9. 2, 2022-06-27. Open Review, 62, 1.","journal-title":"Open Review"},{"key":"e_1_3_2_1_106_1","unstructured":"Soochan Lee Junsoo Ha Dongsu Zhang and Gunhee Kim. 2020. A neural dirichlet process mixture model for task-free continual learning. arXiv preprint arXiv:2001.00689."},{"key":"e_1_3_2_1_107_1","volume-title":"Genomic evolution of hox gene clusters. Science, 313, 5795","author":"Lemons Derek","year":"1918","unstructured":"Derek Lemons and William McGinnis. 2006. Genomic evolution of hox gene clusters. Science, 313, 5795, 1918\u20131922."},{"key":"e_1_3_2_1_108_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.0408031102"},{"key":"e_1_3_2_1_109_1","unstructured":"Alexander C Li Carlos Florensa Ignasi Clavera and Pieter Abbeel. 2019. Sub-policy adaptation for hierarchical reinforcement learning. arXiv preprint arXiv:1906.05862."},{"key":"e_1_3_2_1_110_1","doi-asserted-by":"crossref","unstructured":"Pan P Li and H Benjamin Peng. 2012. Regulation of axonal growth and neuro-muscular junction formation by neuronal phosphatase and tensin homologue signaling. Molecular biology of the cell 23 20 4109\u20134117.","DOI":"10.1091\/mbc.e12-05-0367"},{"key":"e_1_3_2_1_111_1","unstructured":"Yuxi Li. 2017. Deep reinforcement learning: an overview. arXiv preprint arXiv:1701.07274."},{"key":"e_1_3_2_1_112_1","unstructured":"Minghuan Liu Menghui Zhu and Weinan Zhang. 2022. Goal-conditioned reinforcement learning: problems and solutions. arXiv preprint arXiv:2201.08299."},{"key":"e_1_3_2_1_113_1","doi-asserted-by":"crossref","unstructured":"Yonatan Loewenstein. 2010. Synaptic theory of replicator-like melioration. Frontiers in computational neuroscience 4 1722.","DOI":"10.3389\/fncom.2010.00017"},{"key":"e_1_3_2_1_114_1","doi-asserted-by":"crossref","unstructured":"Dirk M Lorenz Alice Jeng and Michael W Deem. 2011. The emergence of modularity in biological systems. Physics of life reviews 8 2 129\u2013160.","DOI":"10.1016\/j.plrev.2011.02.003"},{"key":"e_1_3_2_1_115_1","doi-asserted-by":"publisher","DOI":"10.1111\/cge.12276"},{"key":"e_1_3_2_1_116_1","volume-title":"The plausibility of life","author":"Marc Kirschner","unstructured":"Kirschner Marc. 2005. The plausibility of life. Yale University Press."},{"key":"e_1_3_2_1_117_1","unstructured":"Gary Marcus. 2018. Deep learning: a critical appraisal. arXiv preprint arXiv:1801.00631."},{"key":"e_1_3_2_1_118_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1803839115"},{"key":"e_1_3_2_1_119_1","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-12-384719-5.00048-4"},{"key":"e_1_3_2_1_120_1","unstructured":"Sahisnu Mazumder Bing Liu Shuai Wang Yingxuan Zhu Xiaotian Yin Lifeng Liu and Jian Li. 2022. Knowledge-guided exploration in deep reinforcement learning. arXiv preprint arXiv:2210.15670."},{"key":"e_1_3_2_1_121_1","first-page":"375","article-title":"Ai adoption in america: who, what, and where","volume":"33","author":"McElheran Kristina","year":"2024","unstructured":"Kristina McElheran, J Frank Li, Erik Brynjolfsson, Zachary Kroff, Emin Dinlersoz, Lucia Foster, and Nikolas Zolas. 2024. Ai adoption in america: who, what, and where. Journal of Economics & Management Strategy, 33, 2, 375\u2013415.","journal-title":"Journal of Economics & Management Strategy"},{"key":"e_1_3_2_1_122_1","doi-asserted-by":"crossref","unstructured":"Troy McMahon Aravind Sivaramakrishnan Edgar Granados Kostas E Bekris et al. 2022. A survey on the integration of machine learning with sampling-based motion planning. Foundations and Trends\u00ae in Robotics 9 4 266\u2013327.","DOI":"10.1561\/2300000063"},{"key":"e_1_3_2_1_123_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87897-9_27"},{"key":"e_1_3_2_1_124_1","doi-asserted-by":"crossref","unstructured":"Henok Mengistu Joost Huizinga Jean-Baptiste Mouret and Jeff Clune. 2016. The evolutionary origins of hierarchy. PLoS computational biology 12 6 e1004829.","DOI":"10.1371\/journal.pcbi.1004829"},{"key":"e_1_3_2_1_125_1","doi-asserted-by":"publisher","DOI":"10.1145\/3605943"},{"key":"e_1_3_2_1_126_1","doi-asserted-by":"crossref","unstructured":"Alessandro Minelli. 2000. Limbs and tail as evolutionarily diverging duplicates of the main body axis. Evolution & development 2 3 157\u2013165.","DOI":"10.1046\/j.1525-142x.2000.00054.x"},{"key":"e_1_3_2_1_127_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i10.26424"},{"key":"e_1_3_2_1_128_1","doi-asserted-by":"publisher","DOI":"10.3389\/fnsys.2022.1086680"},{"key":"e_1_3_2_1_129_1","doi-asserted-by":"publisher","DOI":"10.1162\/isal_a_00697"},{"key":"e_1_3_2_1_130_1","first-page":"23296","article-title":"Intriguing properties of vision transformers","volume":"34","author":"Naseer Muhammad Muzammal","year":"2021","unstructured":"Muhammad Muzammal Naseer, Kanchana Ranasinghe, Salman H Khan, Munawar Hayat, Fahad Shahbaz Khan, and Ming-Hsuan Yang. 2021. Intriguing properties of vision transformers. Advances in Neural Information Processing Systems, 34, 23296\u201323308.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_131_1","first-page":"33","article-title":"A modern approach. Prentice Hall Upper Saddle River, NJ, USA: Rani, M., Nayak, R., & Vyas, OP (2015). An ontology-based adaptive personalized e-learning system, assisted by software agents on cloud storage","volume":"90","author":"Russel Norvig P","year":"2002","unstructured":"P Russel Norvig and S Artificial Intelligence. 2002. A modern approach. Prentice Hall Upper Saddle River, NJ, USA: Rani, M., Nayak, R., & Vyas, OP (2015). An ontology-based adaptive personalized e-learning system, assisted by software agents on cloud storage. Knowledge-Based Systems, 90, 33\u201348.","journal-title":"Knowledge-Based Systems"},{"key":"e_1_3_2_1_132_1","doi-asserted-by":"publisher","DOI":"10.1086\/508102"},{"key":"e_1_3_2_1_133_1","doi-asserted-by":"publisher","DOI":"10.1111\/eva.12336"},{"key":"e_1_3_2_1_134_1","volume-title":"A survey of machine learning approaches to robotic path-planning","author":"Otte Michael W","unstructured":"Michael W Otte. 2015. A survey of machine learning approaches to robotic path-planning. University of Colorado at Boulder, Boulder."},{"key":"e_1_3_2_1_135_1","doi-asserted-by":"crossref","unstructured":"Annalise B Paaby and Matthew V Rockman. 2013. The many faces of pleiotropy. Trends in genetics 29 2 66\u201373.","DOI":"10.1016\/j.tig.2012.10.010"},{"key":"e_1_3_2_1_136_1","first-page":"2","article-title":"Exploring the significance of structural hierarchy in material systems\u2014a review","volume":"1","author":"Pan Ning","year":"2014","unstructured":"Ning Pan. 2014. Exploring the significance of structural hierarchy in material systems\u2014a review. Applied Physics Reviews, 1, 2.","journal-title":"Applied Physics Reviews"},{"key":"e_1_3_2_1_137_1","volume-title":"Active inference: the free energy principle in mind, brain, and behavior","author":"Parr Thomas","unstructured":"Thomas Parr, Giovanni Pezzulo, and Karl J Friston. 2022. Active inference: the free energy principle in mind, brain, and behavior. MIT Press."},{"key":"e_1_3_2_1_138_1","doi-asserted-by":"publisher","DOI":"10.1145\/3453160"},{"key":"e_1_3_2_1_139_1","volume-title":"John I Murray, and Marco Trizzino.","author":"Patoori Sruti","year":"2022","unstructured":"Sruti Patoori, Samantha M Barnada, Christopher Large, John I Murray, and Marco Trizzino. 2022. Young transposable elements rewired gene regulatory networks in human and chimpanzee hippocampal intermediate progenitors. Development, 149, 19, dev200413."},{"key":"e_1_3_2_1_140_1","volume-title":"Dendritic spines: structure, function, and plasticity","author":"Petanjek Zdravko","unstructured":"Zdravko Petanjek, Ivan Banovac, Dora Sedmak, and Ana Hladnik. 2023. Dendritic spines: synaptogenesis and synaptic pruning for the developmental organization of brain circuits. In Dendritic spines: structure, function, and plasticity. Springer, 143\u2013221."},{"key":"e_1_3_2_1_141_1","doi-asserted-by":"publisher","DOI":"10.3732\/ajb.1000279"},{"key":"e_1_3_2_1_142_1","doi-asserted-by":"publisher","DOI":"10.1016\/0169-5347(92)90229-5"},{"key":"e_1_3_2_1_143_1","doi-asserted-by":"publisher","DOI":"10.1002\/cne.902380108"},{"key":"e_1_3_2_1_144_1","doi-asserted-by":"crossref","unstructured":"Klaus Rajewsky. 1996. Clonal selection and learning in the antibody system. Nature 381 6585 751\u2013758.","DOI":"10.1038\/381751a0"},{"key":"e_1_3_2_1_145_1","doi-asserted-by":"crossref","unstructured":"Pasko Rakic Jean-Pierre Bourgeois Maryellen F Eckenhoff Nada Zecevic and Patricia S Goldman-Rakic. 1986. Concurrent overproduction of synapses in diverse regions of the primate cerebral cortex. Science 232 4747 232\u2013235.","DOI":"10.1126\/science.3952506"},{"key":"e_1_3_2_1_146_1","doi-asserted-by":"crossref","unstructured":"Pasko Rakic and Katharine P Riley. 1983. Overproduction and elimination of retinal axons in the fetal rhesus monkey. Science 219 4591 1441\u20131444.","DOI":"10.1126\/science.6828871"},{"key":"e_1_3_2_1_147_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.gde.2017.04.006"},{"key":"e_1_3_2_1_148_1","unstructured":"David Rolnick Arun Ahuja Jonathan Schwarz Timothy Lillicrap and Gregory Wayne. 2019. Experience replay for continual learning. Advances in neural information processing systems 32."},{"key":"e_1_3_2_1_149_1","volume-title":"NeurIPS 2023 Foundation Models for Decision Making Workshop.","author":"Ruan Jingqing","year":"2023","unstructured":"Jingqing Ruan, Yihong Chen, Bin Zhang, Zhiwei Xu, Tianpeng Bao, Hangyu Mao, Ziyue Li, Xingyu Zeng, Rui Zhao, et al. 2023. Tptu: task planning and tool usage of large language model-based ai agents. In NeurIPS 2023 Foundation Models for Decision Making Workshop."},{"key":"e_1_3_2_1_150_1","doi-asserted-by":"publisher","DOI":"10.1016\/0273-1177(83)90045-5"},{"key":"e_1_3_2_1_151_1","unstructured":"Andrei A Rusu Neil C Rabinowitz Guillaume Desjardins Hubert Soyer James Kirkpatrick Koray Kavukcuoglu Razvan Pascanu and Raia Hadsell. 2016. Progressive neural networks. arXiv preprint arXiv:1606.04671."},{"key":"e_1_3_2_1_152_1","unstructured":"Himanshu Sahni Saurabh Kumar Farhan Tejani and Charles Isbell. 2017. Learning to compose skills. arXiv preprint arXiv:1711.11289."},{"key":"e_1_3_2_1_153_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.2010281117"},{"key":"e_1_3_2_1_154_1","doi-asserted-by":"crossref","unstructured":"Ryohei Seki Namiko Kamiyama Ayumi Tadokoro Naoki Nomura Takanobu Tsuihiji Makoto Manabe and Koji Tamura. 2012. Evolutionary and developmental aspects of avian-specific traits in limb skeletal pattern. Zoological science 29 10 631\u2013644.","DOI":"10.2108\/zsj.29.631"},{"key":"e_1_3_2_1_155_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0896-6273(03)00761-X"},{"key":"e_1_3_2_1_156_1","doi-asserted-by":"publisher","DOI":"10.1186\/1745-6150-1-17"},{"key":"e_1_3_2_1_157_1","doi-asserted-by":"publisher","DOI":"10.1145\/3696410.3714825"},{"key":"e_1_3_2_1_158_1","volume-title":"Genetic algorithms","author":"Sivanandam SN","unstructured":"SN Sivanandam, SN Deepa, SN Sivanandam, and SN Deepa. 2008. Genetic algorithms. Springer."},{"key":"e_1_3_2_1_159_1","doi-asserted-by":"crossref","unstructured":"John Maynard Smith and Eors Szathmary. 1997. The major transitions in evolution. OUP Oxford.","DOI":"10.1093\/oso\/9780198502944.001.0001"},{"key":"e_1_3_2_1_160_1","doi-asserted-by":"crossref","unstructured":"Roni Stern and Brendan Juba. 2017. Efficient safe and probably approximately complete learning of action models. arXiv preprint arXiv:1705.08961.","DOI":"10.24963\/ijcai.2017\/615"},{"key":"e_1_3_2_1_161_1","volume-title":"2024 International Joint Conference on Neural Networks (IJCNN). IEEE, 1\u20138.","author":"Su Qiqi","year":"2024","unstructured":"Qiqi Su, Christos Kloukinas, and Artur d'Avila Garcez. 2024. Focuslearn: fullyinterpretable, high-performance modular neural networks for time series. In 2024 International Joint Conference on Neural Networks (IJCNN). IEEE, 1\u20138."},{"key":"e_1_3_2_1_162_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41559-023-02186-7"},{"key":"e_1_3_2_1_163_1","doi-asserted-by":"crossref","unstructured":"Andr\u00e1s Szil\u00e1gyi P\u00e9ter Szab\u00f3 Mauro Santos and E\u00f6rs Szathm\u00e1ry. 2020. Phenotypes to remember: evolutionary developmental memory capacity and robustness. PLoS computational biology 16 11 e1008425.","DOI":"10.1371\/journal.pcbi.1008425"},{"key":"e_1_3_2_1_164_1","doi-asserted-by":"publisher","DOI":"10.1146\/annurev.genet.38.072902.092831"},{"key":"e_1_3_2_1_165_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cub.2020.03.056"},{"key":"e_1_3_2_1_166_1","unstructured":"[n. d.] The Developing Brain \u2014 ncbi.nlm.nih.gov. https:\/\/www.ncbi.nlm.nih.gov\/books\/NBK225562\/. [Accessed 21-02-2025]. ()."},{"key":"e_1_3_2_1_167_1","doi-asserted-by":"crossref","unstructured":"Peter H Thrall et al. 2011. Evolution in agriculture: the application of evolutionary approaches to the management of biotic interactions in agro-ecosystems. Evolutionary applications 4 2 200\u2013215.","DOI":"10.1111\/j.1752-4571.2010.00179.x"},{"key":"e_1_3_2_1_168_1","doi-asserted-by":"crossref","unstructured":"Cheryll Tickle and Matthew Towers. 2017. Sonic hedgehog signaling in limb development. Frontiers in cell and developmental biology 5 14.","DOI":"10.3389\/fcell.2017.00014"},{"key":"e_1_3_2_1_169_1","volume-title":"Networks of networks: an essay on multilevel biological organization. front genet 2021","author":"Uversky VN","year":"2021","unstructured":"VN Uversky and A Giuliani. 2021. Networks of networks: an essay on multilevel biological organization. front genet 2021; 12: 706260. (2021)."},{"key":"e_1_3_2_1_170_1","unstructured":"Gido M. van de Ven Nicholas Soures and Dhireesha Kudithipudi. 2024. Continual learning and catastrophic forgetting. (2024). https:\/\/arxiv.org\/abs\/2403.05175 arXiv: 2403.05175 [cs.LG]."},{"key":"e_1_3_2_1_171_1","doi-asserted-by":"publisher","DOI":"10.7554\/eLife.42832"},{"key":"e_1_3_2_1_172_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i13.17428"},{"key":"e_1_3_2_1_173_1","volume-title":"Stephan K\u00f6stlbacher, Kassiani Panagiotou, Daniel Tamarit, and Thijs JG Ettema.","author":"Vosseberg Julian","year":"2024","unstructured":"Julian Vosseberg, Jolien JE van Hooff, Stephan K\u00f6stlbacher, Kassiani Panagiotou, Daniel Tamarit, and Thijs JG Ettema. 2024. The emerging view on the origin and early evolution of eukaryotic cells. Nature, 633, 8029, 295\u2013305."},{"key":"e_1_3_2_1_174_1","doi-asserted-by":"crossref","unstructured":"Andreas Wagner. 2011. The origins of evolutionary innovations: a theory of transformative change in living systems. OUP Oxford.","DOI":"10.1093\/acprof:oso\/9780199692590.001.0001"},{"key":"e_1_3_2_1_175_1","doi-asserted-by":"publisher","DOI":"10.1038\/nrg2267"},{"key":"e_1_3_2_1_176_1","doi-asserted-by":"publisher","DOI":"10.1038\/nrg2949"},{"key":"e_1_3_2_1_177_1","volume-title":"agency, and evolution","author":"Walsh Denis M","unstructured":"Denis M Walsh. 2015. Organisms, agency, and evolution. Cambridge University Press."},{"key":"e_1_3_2_1_178_1","unstructured":"Zishen Wan et al. 2024. Towards cognitive ai systems: a survey and prospective on neuro-symbolic ai. arXiv preprint arXiv:2401.01040."},{"key":"e_1_3_2_1_179_1","doi-asserted-by":"publisher","DOI":"10.1080\/23262133.2016.1231495"},{"key":"e_1_3_2_1_180_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00027"},{"key":"e_1_3_2_1_181_1","doi-asserted-by":"publisher","DOI":"10.1111\/evo.12337"},{"key":"e_1_3_2_1_182_1","volume-title":"Developmental plasticity and evolution","author":"West-Eberhard Mary Jane","unstructured":"Mary Jane West-Eberhard. 2003. Developmental plasticity and evolution. Oxford University Press."},{"key":"e_1_3_2_1_183_1","doi-asserted-by":"crossref","unstructured":"Claus O Wilke. 2001. Adaptive evolution on neutral networks. Bulletin of mathematical biology 63 4 715\u2013730.","DOI":"10.1006\/bulm.2001.0244"},{"key":"e_1_3_2_1_184_1","doi-asserted-by":"publisher","DOI":"10.1145\/3532942.3532944"},{"key":"e_1_3_2_1_185_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48891.2023.10160686"},{"key":"e_1_3_2_1_186_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32236-6_51"},{"key":"e_1_3_2_1_187_1","first-page":"4767","article-title":"Multi-task reinforcement learning with soft modularization","volume":"33","author":"Yang Ruihan","year":"2020","unstructured":"Ruihan Yang, Huazhe Xu, Yi Wu, and Xiaolong Wang. 2020. Multi-task reinforcement learning with soft modularization. Advances in Neural Information Processing Systems, 33, 4767\u20134777.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_188_1","doi-asserted-by":"crossref","unstructured":"Anthony M Zador. 2019. A critique of pure learning and what artificial neural networks can learn from animal brains. Nature communications 10 1 3770.","DOI":"10.1038\/s41467-019-11786-6"},{"key":"e_1_3_2_1_189_1","unstructured":"Yintong Zhang and Jason A Yoder. 2024. Evolved developmental artificial neural networks for multitasking with advanced activity dependence. arXiv preprint arXiv:2407.10359."},{"key":"e_1_3_2_1_190_1","doi-asserted-by":"publisher","DOI":"10.1007\/s44196-023-00389-1"},{"key":"e_1_3_2_1_191_1","unstructured":"Wayne Xin Zhao et al. 2023. A survey of large language models. arXiv preprint arXiv:2303.18223."}],"event":{"name":"GECCO '25 Companion: Genetic and Evolutionary Computation Conference Companion","location":"NH Malaga Hotel Malaga Spain","acronym":"GECCO '25 Companion","sponsor":["SIGEVO ACM Special Interest Group on Genetic and Evolutionary Computation"]},"container-title":["Proceedings of the Genetic and Evolutionary Computation Conference Companion"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3712255.3734320","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,7]],"date-time":"2025-10-07T12:01:32Z","timestamp":1759838492000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3712255.3734320"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,7,14]]},"references-count":191,"alternative-id":["10.1145\/3712255.3734320","10.1145\/3712255"],"URL":"https:\/\/doi.org\/10.1145\/3712255.3734320","relation":{},"subject":[],"published":{"date-parts":[[2025,7,14]]},"assertion":[{"value":"2025-08-11","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}