{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,31]],"date-time":"2025-05-31T05:02:04Z","timestamp":1748667724691,"version":"3.40.3"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031287183"},{"type":"electronic","value":"9783031287190"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":[[2023]]},"DOI":"10.1007\/978-3-031-28719-0_4","type":"book-chapter","created":{"date-parts":[[2023,3,21]],"date-time":"2023-03-21T18:03:51Z","timestamp":1679421831000},"page":"50-64","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Object-Based Active Inference"],"prefix":"10.1007","author":[{"given":"Ruben S.","family":"van Bergen","sequence":"first","affiliation":[]},{"given":"Pablo","family":"Lanillos","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,3,22]]},"reference":[{"issue":"2","key":"4_CR1","doi-asserted-by":"publisher","first-page":"100","DOI":"10.1109\/TCDS.2016.2627820","volume":"9","author":"P Lanillos","year":"2016","unstructured":"Lanillos, P., Dean-Leon, E., Cheng, G.: Yielding self-perception in robots through sensorimotor contingencies. IEEE Trans. Cogn. Dev. Syst. 9(2), 100\u2013112 (2016)","journal-title":"IEEE Trans. Cogn. Dev. Syst."},{"key":"4_CR2","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1146\/annurev-neuro-060909-153218","volume":"34","author":"Z Kourtzi","year":"2011","unstructured":"Kourtzi, Z., Connor, C.E.: Neural representations for object perception: structure, category, and adaptive coding. Annu. Rev. Neurosci. 34, 45\u201367 (2011)","journal-title":"Annu. Rev. Neurosci."},{"key":"4_CR3","doi-asserted-by":"publisher","first-page":"1127","DOI":"10.1038\/s41562-021-01194-6","volume":"5","author":"B Peters","year":"2021","unstructured":"Peters, B., Kriegeskorte, N.: Capturing the objects of vision with neural networks. Nat. Hum. Behav. 5, 1127\u20131144 (2021). https:\/\/doi.org\/10.1038\/s41562-021-01194-6","journal-title":"Nat. Hum. Behav."},{"key":"4_CR4","unstructured":"Greff, K., et al.: Multi-object representation learning with iterative variational inference. In: International Conference on Machine Learning, pp. 2424\u20132433. PMLR (2019)"},{"key":"4_CR5","unstructured":"Locatello, F., et al.: Object-centric learning with slot attention. In: Advances in Neural Information Processing Systems, vol. 33, pp. 11525\u201311538 (2020)"},{"issue":"7540","key":"4_CR6","doi-asserted-by":"publisher","first-page":"529","DOI":"10.1038\/nature14236","volume":"518","author":"V Mnih","year":"2015","unstructured":"Mnih, V., et al.: Human-level control through deep reinforcement learning. Nature 518(7540), 529\u2013533 (2015)","journal-title":"Nature"},{"key":"4_CR7","unstructured":"Veerapaneni, R., et al.: Entity abstraction in visual model-based reinforcement learning (2019). http:\/\/arxiv.org\/abs\/1910.12827"},{"key":"4_CR8","unstructured":"Watters, N., Matthey, L., Bosnjak, M., Burgess, C.P., Lerchner, A.: Cobra: data-efficient model-based RL through unsupervised object discovery and curiosity-driven exploration (2019). http:\/\/arxiv.org\/abs\/1905.09275"},{"key":"4_CR9","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/12441.001.0001","volume-title":"Active Inference: The Free Energy Principle in Mind, Brain, and Behavior","author":"T Parr","year":"2022","unstructured":"Parr, T., Pezzulo, G., Friston, K.J.: Active Inference: The Free Energy Principle in Mind, Brain, and Behavior. MIT Press, Cambridge (2022)"},{"key":"4_CR10","unstructured":"Lanillos, P., et al.: Active inference in robotics and artificial agents: survey and challenges. arXiv preprint arXiv:2112.01871 (2021)"},{"key":"4_CR11","unstructured":"Zablotskaia, P., Dominici, E.A., Sigal, L., Lehrmann, A.M.: Unsupervised video decomposition using spatio-temporal iterative inference (2020). http:\/\/arxiv.org\/abs\/2006.14727"},{"key":"4_CR12","unstructured":"Marino, J., Yue, Y., Mandt, S.: Iterative amortized inference. In: 35th International Conference on Machine Learning, ICML 2018, vol. 8, pp. 5444\u20135462 (2018). http:\/\/arxiv.org\/abs\/1807.09356"},{"key":"4_CR13","unstructured":"Matthey, L., Higgins, I., Hassabis, D., Lerchner, A.: dSprites: disentanglement testing sprites dataset (2017). https:\/\/github.com\/deepmind\/dsprites-dataset\/"},{"key":"4_CR14","doi-asserted-by":"publisher","unstructured":"Active inference and epistemic value. Cogn. Neurosci. 6, 187\u2013214 (2015). https:\/\/doi.org\/10.1080\/17588928.2015.1020053","DOI":"10.1080\/17588928.2015.1020053"},{"key":"4_CR15","doi-asserted-by":"publisher","unstructured":"Sajid, N., Ball, P.J., Parr, T., Friston, K.J.: Active inference: demystified and compared. Neural Comput. 33, 674\u2013712 (2021). https:\/\/doi.org\/10.1162\/neco_a_01357. https:\/\/direct.mit.edu\/neco\/article\/33\/3\/674-712\/97486","DOI":"10.1162\/neco_a_01357"},{"key":"4_CR16","unstructured":"Friston, K.: A free energy principle for a particular physics (2019). http:\/\/arxiv.org\/abs\/1906.10184"},{"key":"4_CR17","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmp.2020.102447","volume":"99","author":"L Da Costa","year":"2020","unstructured":"Da Costa, L., Parr, T., Sajid, N., Veselic, S., Neacsu, V., Friston, K.: Active inference on discrete state-spaces: a synthesis. J. Math. Psychol. 99, 102447 (2020)","journal-title":"J. Math. Psychol."},{"key":"4_CR18","unstructured":"Millidge, B., Tschantz, A., Buckley, C.L.: Whence the expected free energy? (2020). http:\/\/arxiv.org\/abs\/2004.08128"},{"key":"4_CR19","unstructured":"Jang, E., Gu, S., Poole, B.: Categorical reparameterization with Gumbel-Softmax (2016). http:\/\/arxiv.org\/abs\/1611.01144"}],"container-title":["Communications in Computer and Information Science","Active Inference"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-28719-0_4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,3,21]],"date-time":"2023-03-21T18:11:30Z","timestamp":1679422290000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-28719-0_4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031287183","9783031287190"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-28719-0_4","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"22 March 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IWAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Workshop on Active Inference","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Grenoble","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"France","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 September 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 September 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iwai-ws2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/iwaiworkshop.github.io\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}