{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,9]],"date-time":"2026-04-09T12:07:06Z","timestamp":1775736426021,"version":"3.50.1"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030937355","type":"print"},{"value":"9783030937362","type":"electronic"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-93736-2_47","type":"book-chapter","created":{"date-parts":[[2022,2,17]],"date-time":"2022-02-17T21:02:28Z","timestamp":1645131748000},"page":"669-680","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Active Inference for\u00a0Stochastic Control"],"prefix":"10.1007","author":[{"given":"Aswin","family":"Paul","sequence":"first","affiliation":[]},{"given":"Noor","family":"Sajid","sequence":"additional","affiliation":[]},{"given":"Manoj","family":"Gopalkrishnan","sequence":"additional","affiliation":[]},{"given":"Adeel","family":"Razi","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,2,17]]},"reference":[{"key":"47_CR1","doi-asserted-by":"publisher","first-page":"127","DOI":"10.1038\/nrn2787","volume":"11","author":"K Friston","year":"2010","unstructured":"Friston, K.: The free-energy principle: a unified brain theory? Nat. Rev. Neurosci. 11, 127\u2013138 (2010)","journal-title":"Nat. Rev. Neurosci."},{"issue":"4","key":"47_CR2","doi-asserted-by":"publisher","first-page":"323","DOI":"10.1007\/s00422-018-0753-2","volume":"112","author":"R Kaplan","year":"2018","unstructured":"Kaplan, R., Friston, K.J.: Planning and navigation as active inference. Biol. Cybern. 112(4), 323\u2013343 (2018). https:\/\/doi.org\/10.1007\/s00422-018-0753-2","journal-title":"Biol. Cybern."},{"key":"47_CR3","doi-asserted-by":"crossref","unstructured":"Kuchling, F., Friston, K., Georgiev, G., Levin, M.: Morphogenesis as Bayesian inference: a variational approach to pattern formation and control in complex biological systems. Phys. Life Rev. 33, 88\u2013108 (2019)","DOI":"10.1016\/j.plrev.2019.06.001"},{"key":"47_CR4","unstructured":"Oliver, G., Lanillos, P., Cheng, G.: Active inference body perception and action for humanoid robots. arXiv preprint arXiv:1906.03022 (2019)"},{"key":"47_CR5","doi-asserted-by":"crossref","unstructured":"Rubin, S., Parr, T., Da Costa, L., Friston, K.: Future climates: Markov blankets and active inference in the biosphere. J. Royal Soc. Interface 17(172), 20200503 (2020)","DOI":"10.1098\/rsif.2020.0503"},{"key":"47_CR6","doi-asserted-by":"crossref","unstructured":"Deane, G., Miller, M., Wilkinson, S.: Losing ourselves: active inference, depersonalization, and meditation. Front. Psychol. 11, 2893 (2020)","DOI":"10.3389\/fpsyg.2020.539726"},{"key":"47_CR7","doi-asserted-by":"publisher","unstructured":"Friston, K.J., Daunizeau, J., Kiebel, S.J.: Reinforcement learning or active inference? PLOS ONE 4(7), e6421 (2009). https:\/\/doi.org\/10.1371\/journal.pone.0006421","DOI":"10.1371\/journal.pone.0006421"},{"issue":"8","key":"47_CR8","doi-asserted-by":"publisher","first-page":"523","DOI":"10.1007\/s00422-012-0512-8","volume":"106","author":"K Friston","year":"2012","unstructured":"Friston, K., Samothrakis, S., Montague, R.: Active inference and agency: optimal control without cost functions. Biol. Cybern. 106(8), 523\u2013541 (2012)","journal-title":"Biol. Cybern."},{"key":"47_CR9","doi-asserted-by":"crossref","unstructured":"Sajid, N., Ball, P.J., Parr, T., Friston, K.J.: Active inference: demystified and compared Neural Comput. 33(3), 674\u2013712 (2021)","DOI":"10.1162\/neco_a_01357"},{"issue":"3","key":"47_CR10","doi-asserted-by":"publisher","first-page":"713","DOI":"10.1162\/neco_a_01351","volume":"33","author":"K Friston","year":"2021","unstructured":"Friston, K., Da Costa, L., Hafner, D., Hesp, C., Parr, T.: Sophisticated inference. Neural Comput. 33(3), 713\u2013763 (2021)","journal-title":"Neural Comput."},{"key":"47_CR11","unstructured":"Da Costa, L., Sajid, N., Parr, T., Friston, K., Smith, R.: The relationship between dynamic programming and active inference: the discrete, finite-horizon case. arXiv arXiv:2009.08111 (2020)"},{"key":"47_CR12","doi-asserted-by":"crossref","unstructured":"Da Costa, L., Parr, T., Sajid, N., Veselic, S., Neacsu, V., Friston, K.: Active inference on discrete state-spaces: a synthesis. arXiv e-prints (2020)","DOI":"10.1016\/j.jmp.2020.102447"},{"key":"47_CR13","unstructured":"Sutton, R., Barto, A.: Reinforcement Learning: An Introduction. MIT Press, Cambridge (2018)"},{"issue":"1","key":"47_CR14","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1162\/NECO_a_00912","volume":"29","author":"K Friston","year":"2017","unstructured":"Friston, K., FitzGerald, T., Rigoli, F., Schwartenbeck, P., Pezzulo, G.: Active inference: a process theory. Neural Comput. 29(1), 1\u201349 (2017)","journal-title":"Neural Comput."},{"key":"47_CR15","unstructured":"Fountas, Z., Sajid, N., Mediano, P.A., Friston, K.: Deep active inference agents using Monte-Carlo methods. arXiv preprint arXiv:2006.04176 (2020)"},{"key":"47_CR16","unstructured":"\u00c7atal, O., Nauta, J., Verbelen, T., Simoens, P., Dhoedt, B.: Bayesian policy selection using active inference. arXiv preprint arXiv:1904.08149 (2019)"},{"key":"47_CR17","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1007\/978-3-030-64919-7_8","volume-title":"Active Inference","author":"O van der Himst","year":"2020","unstructured":"van der Himst, O., Lanillos, P.: Deep active inference for partially observable MDPs. In: IWAI 2020. CCIS, vol. 1326, pp. 61\u201371. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-64919-7_8"},{"key":"47_CR18","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1007\/978-3-030-64919-7_1","volume-title":"Active Inference","author":"B Millidge","year":"2020","unstructured":"Millidge, B., Tschantz, A., Seth, A.K., Buckley, C.L.: On the relationship between active inference and control as inference. In: IWAI 2020. CCIS, vol. 1326, pp. 3\u201311. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-64919-7_1"}],"container-title":["Communications in Computer and Information Science","Machine Learning and Principles and Practice of Knowledge Discovery in Databases"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-93736-2_47","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,6]],"date-time":"2022-05-06T02:16:53Z","timestamp":1651803413000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-93736-2_47"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030937355","9783030937362"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-93736-2_47","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"value":"1865-0929","type":"print"},{"value":"1865-0937","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"17 February 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ECML PKDD","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Joint European Conference on Machine Learning and Knowledge Discovery in Databases","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Bilbao","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 September 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 September 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ecml2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/2021.ecmlpkdd.org\/","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":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"869","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":"210","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":"24% - 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":"3-9","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":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"The conference was held online due to the COVID-19 pandemic.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}