{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,11]],"date-time":"2025-09-11T20:21:34Z","timestamp":1757622094768,"version":"3.44.0"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783032006851"},{"type":"electronic","value":"9783032006868"}],"license":[{"start":{"date-parts":[[2025,8,6]],"date-time":"2025-08-06T00:00:00Z","timestamp":1754438400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,8,6]],"date-time":"2025-08-06T00:00:00Z","timestamp":1754438400000},"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":[[2026]]},"DOI":"10.1007\/978-3-032-00686-8_26","type":"book-chapter","created":{"date-parts":[[2025,8,5]],"date-time":"2025-08-05T22:06:57Z","timestamp":1754431617000},"page":"291-303","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Beating Transformers Using Synthetic Cognition"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3122-4272","authenticated-orcid":false,"given":"Alfredo","family":"Ibias","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2893-916X","authenticated-orcid":false,"given":"Miguel","family":"Rodriguez-Galindo","sequence":"additional","affiliation":[]},{"given":"Hector","family":"Antona","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2741-3705","authenticated-orcid":false,"given":"Guillem","family":"Ramirez-Miranda","sequence":"additional","affiliation":[]},{"given":"Enric","family":"Guinovart","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,8,6]]},"reference":[{"key":"26_CR1","doi-asserted-by":"publisher","unstructured":"A-Ibias, Antona, H., Ramirez-Miranda, G., Guinovart, E., Alarc\u00f3n, E.: Unsupervised cognition. CoRR abs\/2409.18624 (2024). https:\/\/doi.org\/10.48550\/ARXIV.2409.18624,","DOI":"10.48550\/ARXIV.2409.18624"},{"key":"26_CR2","doi-asserted-by":"crossref","unstructured":"Ahn, J., Verma, R., Lou, R., Liu, D., Zhang, R., Yin, W.: Large language models for mathematical reasoning: progresses and challenges. In: Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2024: Student Research Workshop, St. Julian\u2019s, Malta, 21\u201322 March 2024, pp. 225\u2013237. Association for Computational Linguistics (2024)","DOI":"10.18653\/v1\/2024.eacl-srw.17"},{"issue":"18","key":"26_CR3","doi-asserted-by":"publisher","first-page":"3426","DOI":"10.1016\/j.cell.2022.08.004","volume":"185","author":"M Byrska-Bishop","year":"2022","unstructured":"Byrska-Bishop, M., et al.: High-coverage whole-genome sequencing of the expanded 1000 genomes project cohort including 602 trios. Cell 185(18), 3426\u20133440 (2022)","journal-title":"Cell"},{"key":"26_CR4","doi-asserted-by":"crossref","unstructured":"Chuganskaya, A.A., Kovalev, A.K., Panov, A.: The problem of concept learning and goals of reasoning in large language models. In: Hybrid Artificial Intelligent Systems - 18th International Conference, HAIS 2023, Salamanca, Spain, 5\u20137 September 2023, Proceedings. LNCS, vol. 14001, pp. 661\u2013672. Springer (2023)","DOI":"10.1007\/978-3-031-40725-3_56"},{"key":"26_CR5","doi-asserted-by":"crossref","unstructured":"Dalla-Torre, H., et\u00a0al.: Nucleotide transformer: building and evaluating robust foundation models for human genomics. Nature Methods, 1\u201311 (2024)","DOI":"10.1101\/2023.01.11.523679"},{"key":"26_CR6","doi-asserted-by":"publisher","unstructured":"Feng, H., et al.: Benchmarking DNA foundation models for genomic sequence classification. bioRxiv (2024). https:\/\/doi.org\/10.1101\/2024.08.16.608288. https:\/\/www.biorxiv.org\/content\/early\/2024\/08\/18\/2024.08.16.608288","DOI":"10.1101\/2024.08.16.608288"},{"issue":"8","key":"26_CR7","doi-asserted-by":"publisher","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","volume":"9","author":"S Hochreiter","year":"1997","unstructured":"Hochreiter, S., Schmidhuber, J.: Long short-term memory. Neural Comput. 9(8), 1735\u20131780 (1997)","journal-title":"Neural Comput."},{"key":"26_CR8","unstructured":"Huang, J., et al.: Large language models cannot self-correct reasoning yet. In: The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, 7\u201311 May 2024. OpenReview.net (2024)"},{"key":"26_CR9","doi-asserted-by":"crossref","unstructured":"Ibias, A., Ramirez-Miranda, G., Guinovart, E., Alarc\u00f3n, E.: From manifestations to cognitive architectures: a scalable framework. In: Artificial General Intelligence - 17th International Conference, AGI 2024, Seattle, WA, USA, 13\u201316 August 2024, Proceedings. LNCS, vol. 14951, pp. 89\u201398. Springer (2024)","DOI":"10.1007\/978-3-031-65572-2_10"},{"key":"26_CR10","unstructured":"Nguyen, E., et al.: HyenaDNA: long-range genomic sequence modeling at single nucleotide resolution. In: Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, 10\u201316 December 2023 (2023)"},{"key":"26_CR11","unstructured":"Pineda, F.J.: Generalization of back propagation to recurrent and higher order neural networks. In: Neural Information Processing Systems, Denver, Colorado, USA, 1987, pp. 602\u2013611. American Institue of Physics (1987)"},{"key":"26_CR12","doi-asserted-by":"crossref","unstructured":"Ranaldi, L., Pucci, G., Haddow, B., Birch, A.: Empowering multi-step reasoning across languages via program-aided language models. In: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024, Miami, FL, USA, 12\u201316 November 2024, pp. 12171\u201312187. Association for Computational Linguistics (2024)","DOI":"10.18653\/v1\/2024.emnlp-main.678"},{"issue":"5","key":"26_CR13","doi-asserted-by":"publisher","first-page":"849","DOI":"10.1101\/gr.213611.116","volume":"27","author":"VA Schneider","year":"2017","unstructured":"Schneider, V.A., et al.: Evaluation of GRCh38 and de novo haploid genome assemblies demonstrates the enduring quality of the reference assembly. Genome Res. 27(5), 849\u2013864 (2017)","journal-title":"Genome Res."},{"issue":"3","key":"26_CR14","doi-asserted-by":"publisher","first-page":"309","DOI":"10.1162\/neco_a_01563","volume":"35","author":"TJ Sejnowski","year":"2023","unstructured":"Sejnowski, T.J.: Large language models and the reverse turing test. Neural Comput. 35(3), 309\u2013342 (2023)","journal-title":"Neural Comput."},{"key":"26_CR15","unstructured":"Shi, F., et al.: Language models are multilingual chain-of-thought reasoners. In: The Eleventh International Conference on Learning Representations, ICLR 2023, Kigali, Rwanda, 1\u20135 May 2023. OpenReview.net (2023)"},{"key":"26_CR16","unstructured":"Vaswani, A., et al.: Neural Information Processing Systems 2017, Long Beach, CA, USA, 4\u20139 December 2017, pp. 5998\u20136008 (2017)"},{"key":"26_CR17","doi-asserted-by":"crossref","unstructured":"Yang, S., Gribovskaya, E., Kassner, N., Geva, M., Riedel, S.: Do large language models latently perform multi-hop reasoning? In: Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2024, Bangkok, Thailand, 11\u201316 August 2024, pp. 10210\u201310229. Association for Computational Linguistics (2024)","DOI":"10.18653\/v1\/2024.acl-long.550"},{"key":"26_CR18","unstructured":"Zhou, Z., Ji, Y., Li, W., Dutta, P., Davuluri, R.V., Liu, H.: DNABERT-2: efficient foundation model and benchmark for multi-species genomes. In: The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, 7\u201311 May 2024. OpenReview.net (2024)"}],"container-title":["Lecture Notes in Computer Science","Artificial General Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-00686-8_26","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,8]],"date-time":"2025-09-08T16:46:04Z","timestamp":1757349964000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-00686-8_26"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,6]]},"ISBN":["9783032006851","9783032006868"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-00686-8_26","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2025,8,6]]},"assertion":[{"value":"6 August 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"The authors have no competing interests to declare relevant to the content of this article.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclosure of Interests"}},{"value":"AGI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Artificial General Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Reykjavic","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Iceland","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10 August 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 August 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"agi2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/agi-conf.org\/2025\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}