paper.bib

@article{friston_reinforcement_2009,
	title = {Reinforcement learning or active inference?},
	author = {Friston, Karl J. and Daunizeau, Jean and Kiebel, Stefan J.},
	journal = {PLoS ONE},
	year = {2009},
	volume = {4},
	number = {7},
	pages = {e6421},
	doi = {10.1371/journal.pone.0006421}
}

@article{vanderbroeck2019active,
  title={Active inference for robot control: A factor graph approach},
  author={Vanderbroeck, Mees and Baioumy, Mohamed and van der Lans, Daan and de Rooij, Rens and van der Werf, Tiis},
  journal={Student Undergraduate Research E-journal!},
  volume={5},
  pages={1--5},
  year={2019}
}

@inproceedings{ergul2020learning,
  title={Learning Where to Park},
  author={Ergul, Burak and van de Laar, Thijs and Koudahl, Magnus and Roa-Villescas, Martin and de Vries, Bert},
  booktitle={International Workshop on Active Inference},
  pages={125--132},
  year={2020},
  organization={Springer}
}

@article{10.1162/neco_a_01427,
 author={van de Laar, Thijs and Senoz, Ismail and {\"O}z{\c{c}}elikkale, Ay{\c{c}}a and Wymeersch, Henk},
 title = {Chance-Constrained Active Inference},
 journal = {Neural Computation},
 volume = {33},
 number = {10},
 pages = {2710-2735},
 year = {2021},
 month = {09},
 issn = {0899-7667},
 doi = {10.1162/neco_a_01427},
 url = {https://doi.org/10.1162/neco\_a\_01427},
 eprint = {https://direct.mit.edu/neco/article-pdf/33/10/2710/1963501/neco\_a\_01427.pdf},
 }

@Article{         harris2020array,
 title         = {Array programming with {NumPy}},
 author        = {Charles R. Harris and K. Jarrod Millman and St{\'{e}}fan J.
                 van der Walt and Ralf Gommers and Pauli Virtanen and David
                 Cournapeau and Eric Wieser and Julian Taylor and Sebastian
                 Berg and Nathaniel J. Smith and Robert Kern and Matti Picus
                 and Stephan Hoyer and Marten H. van Kerkwijk and Matthew
                 Brett and Allan Haldane and Jaime Fern{\'{a}}ndez del
                 R{\'{i}}o and Mark Wiebe and Pearu Peterson and Pierre
                 G{\'{e}}rard-Marchant and Kevin Sheppard and Tyler Reddy and
                 Warren Weckesser and Hameer Abbasi and Christoph Gohlke and
                 Travis E. Oliphant},
 year          = {2020},
 month         = sep,
 journal       = {Nature},
 volume        = {585},
 number        = {7825},
 pages         = {357--362},
 doi           = {10.1038/s41586-020-2649-2},
 publisher     = {Springer Science and Business Media {LLC}},
 url           = {https://doi.org/10.1038/s41586-020-2649-2}
}

@misc{heins2022pymdp_arxiv,
    title={pymdp: A Python library for active inference in discrete state spaces},
    author={Heins, Conor and Millidge, Beren and Demekas, Daphne and Klein, Brennan and Friston, Karl and Couzin, Iain and Tschantz, Alexander},
    eprint={2201.03904v1},
    archivePrefix={arXiv},
    primaryClass={cs.AI}, 
    year={2022}
}

@misc{millidge2021understanding,
    title={Understanding the origin of information-seeking exploration in probabilistic objectives for control},
    author={Millidge, Beren and Tschantz, Alexander and Seth, Anil and Buckley, Christopher},
    eprint={2103.06859v7},
    archivePrefix={arXiv},
    primaryClass={cs.LG}, 
    year={2021}
}

@article{millidge2021whence,
    title = {Whence the expected free energy?},
    author = {Millidge, Beren and Tschantz, Alexander and Buckley, Christopher L.},
    journal = {Neural Computation},
    year = {2021},
    volume = {33},
    number = {2},
    pages = {447--482},
    doi = {10.1162/neco_a_01354}
}

@article{friston2015active,
    title = {Active inference and epistemic value},
    author = {Friston, Karl J. and Rigoli, Francesco and Ognibene, Dimitri and Mathys, Christoph and Fitzgerald, Thomas and Pezzulo, Giovanni},
    journal = {Cognitive Neuroscience},
    year = {2015},
    volume = {6},
    number = {4},
    pages = {187--214},
    doi = {10.1080/17588928.2015.1020053}
}

@article{parr2019neuronal,
    title = {Neuronal message passing using Mean-field, Bethe, and Marginal approximations},
    author = {Parr, Thomas and Markovic, Dimitrije and Kiebel, Stefan J. and Friston, Karl J.},
    journal = {Scientific Reports},
    year = {2019},
    volume = {9},
    number = {1},
    pages = {1--18},
    doi = {10.1038/s41598-018-38246-3}
}

@book{wainwright2008graphical,
    title = {Graphical models, exponential families, and variational inference},
    author = {Wainwright, Martin J. and Jordan, Michael Irwin},
    year = {2008},
    volume = {1},
    publisher = {Now Publishers Inc},
    doi = {10.1561/2200000001}
}

@book{beal2003variational,
    title = {{Variational Algorithms for Approximate Bayesian Inference}},
    author = {Beal, Matthew James},
    year = {2003},
    publisher = {University of London, University College London},
    url = {https://cse.buffalo.edu/faculty/mbeal/thesis/}
}

@inproceedings{yedidia2000generalized,
    title = {Generalized belief propagation},
    author = {Yedidia, Jonathan S. and Freeman, William T. and Weiss, Yair},
    booktitle = {Advances in Neural Information Processing Systems},
    volume = {13},
    pages = {689--695},
    year = {2000},
    url = {https://dl.acm.org/doi/10.5555/3008751.3008848}
}

@article{winn2005variational,
    title = {Variational message passing},
    author = {Winn, John and Bishop, Christopher M.},
    journal = {Journal of Machine Learning Research},
    year = {2005},
    volume = {6},
    number = {23},
    pages = {661--694},
    url = {http://jmlr.org/papers/v6/winn05a.html}
}

@article{leptourgos2020circular,
    title = {Circular inference in bistable perception},
    author = {Leptourgos, Pantelis and Notredame, Charles-Edouard and Eck, Marion and Jardri, Renaud and Den{\`e}ve, Sophie},
    journal = {Journal of Vision},
    year = {2020},
    volume = {20},
    number = {4},
    pages = {12},
    doi = {10.1167/jov.20.4.12}
}

@article{jardri2017experimental,
    title = {Experimental evidence for circular inference in schizophrenia},
    author = {Jardri, Renaud and Duverne, Sandrine and Litvinova, Alexandra S. and Den{\`e}ve, Sophie},
    journal = {Nature Communications},
    year = {2017},
    volume = {8},
    number = {14218},
    pages = {1--13},
    doi = {10.1038/ncomms14218}
}

@article{parr2020modules,
    title = {Modules or mean-fields?},
    author = {Parr, Thomas and Sajid, Noor and Friston, Karl J.},
    journal = {Entropy},
    year = {2020},
    volume = {22},
    number = {5},
    pages = {552},
    doi = {10.3390/e22050552}
}

@article{mackay1992bayesian,
    title = {Bayesian interpolation},
    author = {MacKay, David J.C.},
    journal = {Neural Computation},
    year = {1992},
    volume = {4},
    number = {3},
    pages = {415--447},
    doi = {10.1162/neco.1992.4.3.415}
}

@article{penny2004modelling,
    title = {Modelling functional integration: A comparison of structural equation and dynamic causal models},
    author = {Penny, Will D. and Stephan, Klaas E. and Mechelli, Andrea and Friston, Karl J.},
    journal = {NeuroImage},
    year = {2004},
    volume = {23},
    pages = {S264--S274},
    doi = {10.1016/j.neuroimage.2004.07.041}
}

@article{blei2017variational,
    title = {Variational inference: A review for statisticians},
    author = {Blei, David M. and Kucukelbir, Alp and McAuliffe, Jon D.},
    journal = {Journal of the American Statistical Association},
    year = {2017},
    volume = {112},
    number = {518},
    pages = {859--877},
    doi = {10.1080/01621459.2017.1285773}
}

@article{markov2013cortical,
    title = {Cortical high-density counterstream architectures},
    author = {Markov, Nikola T. and Ercsey-Ravasz, M{\'a}ria and Van Essen, David C. and Knoblauch, Kenneth and Toroczkai, Zolt{\'a}n and Kennedy, Henry},
    journal = {Science},
    year = {2013},
    volume = {342},
    number = {6158},
    doi = {10.1126/science.1238406}
}

@article{friston_active_2012,
	title = {Active inference and agency: Optimal control without cost functions},
	author = {Friston, Karl J. and Samothrakis, Spyridon and Montague, Read},
	journal = {Biological Cybernetics},
	year = {2012},
	volume = {106},
	number = {8-9},
	pages = {523--541},
    doi = {10.1007/s00422-012-0512-8}
}

@article{montague2012computational,
    title = {Computational psychiatry},
    author = {Montague, P. Read and Dolan, Raymond J. and Friston, Karl J. and Dayan, Peter},
    journal = {Trends in Cognitive Sciences},
    year = {2012},
    volume = {16},
    number = {1},
    pages = {72--80},
    doi = {10.1016/j.tics.2011.11.018}
}

@inproceedings{tschantz2020reinforcement,
    title = {Reinforcement learning through active inference},
    author = {Tschantz, Alexander and Millidge, Beren and Seth, Anil K. and Buckley, Christopher L.},
    booktitle = {Bridging AI and Cognitive Science at the International Conference on Learning Representations},
    year = {2020},
    url = {https://baicsworkshop.github.io/pdf/BAICS_37.pdf}
}

@article{sajid2021active,
    title = {Active inference: Demystified and compared},
    author = {Sajid, Noor and Ball, Philip J. and Parr, Thomas and Friston, Karl J.},
    journal = {Neural Computation},
    year = {2021},
    volume = {33},
    number = {3},
    pages = {674--712},
    doi = {10.1162/neco_a_01357}
}

@inproceedings{tschantz2020scaling,
    title = {Scaling active inference},
    author = {Tschantz, Alexander and Baltieri, Manuel and Seth, Anil K. and Buckley, Christopher L.},
    booktitle = {2020 International Joint Conference on Neural Networks (IJCNN)},
    year = {2020},
    pages = {1--8},
    organization = {IEEE},
    doi = {10.1109/IJCNN48605.2020.9207382}
}

@article{mishkin1983object,
    title = {Object vision and spatial vision: Two cortical pathways},
    author = {Mishkin, Mortimer and Ungerleider, Leslie G and Macko, Kathleen A.},
    journal = {Trends in Neurosciences},
    year = {1983},
    volume = {6},
    pages = {414--417},
    doi = {10.1016/0166-2236(83)90190-X}
}

@article{zeki1991direct,
    title = {A direct demonstration of functional specialization in human visual cortex},
    author = {Zeki, Semir and Watson, J.D. and Lueck, C.J. and Friston, Karl J. and Kennard, C. and Frackowiak, R.S.},
    journal = {Journal of Neuroscience},
    year = {1991},
    volume = {11},
    number = {3},
    pages = {641--649},
    doi = {10.1523/JNEUROSCI.11-03-00641.1991}
}

@article{friston2017process,
    title = {Active inference: A process theory},
    author = {Friston, Karl J. and FitzGerald, Thomas and Rigoli, Francesco and Schwartenbeck, Philipp and Pezzulo, Giovanni},
    journal = {Neural Computation},
    year = {2017},
    volume = {29},
    number = {1},
    pages = {1--49},
    doi = {10.1162/NECO_a_00912}
}

@article{baltieri2019pid,
    title = {PID control as a process of active inference with linear generative models},
    author = {Baltieri, Manuel and Buckley, Christopher L.},
    journal = {Entropy},
    year = {2019},
    volume = {21},
    number = {3},
    pages = {257},
    doi = {10.3390/e21030257}
}

@inproceedings{fountas2020deep,
    title = {Deep active inference agents using Monte-Carlo methods},
    author = {Fountas, Zafeirios and Sajid, Noor and Mediano, Pedro A.M. and Friston, Karl J.},
    booktitle = {Advances in Neural Information Processing Systems},
    year = {2020},
    url = {https://proceedings.neurips.cc/paper/2020/hash/865dfbde8a344b44095495f3591f7407-Abstract.html}
}

@article{van2019simulating,
    title = {Simulating active inference processes by message passing},
    author = {van de Laar, Thijs W. and de Vries, Bert},
    journal = {Frontiers in Robotics and AI},
    year = {2019},
    volume = {6},
    pages = {20},
    doi = {10.3389/frobt.2019.00020}
}

@article{ueltzhoffer2018deep,
    title = {Deep active inference},
    author = {Ueltzh{\"o}ffer, Kai},
    journal = {Biological Cybernetics},
    year = {2018},
    volume = {112},
    number = {6},
    pages = {547--573},
    doi = {10.1007/s00422-018-0785-7}
}

@article{tschantz2020learning,
    title = {Learning action-oriented models through active inference},
    author = {Tschantz, Alexander and Seth, Anil K. and Buckley, Christopher L.},
    journal = {PLoS Computational Biology},
    year = {2020},
    volume = {16},
    number = {4},
    pages = {e1007805},
    doi = {10.1371/journal.pcbi.1007805}
}

@inproceedings{ccatal2020learning,
    title = {Learning perception and planning with deep active inference},
    author = {{\c{C}}atal, Ozan and Verbelen, Tim and Nauta, Johannes and De Boom, Cedric and Dhoedt, Bart},
    booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
    year = {2020},
    pages = {3952--3956},
    organization = {IEEE},
    doi = {10.1109/ICASSP40776.2020.9054364}
}

@book{penny2011statistical,
    title = {Statistical parametric mapping: The analysis of functional brain images},
    author = {Penny, William D. and Friston, Karl J. and Ashburner, John T. and Kiebel, Stefan J. and Nichols, Thomas E.},
    year = {2007},
    isbn = {978-0-12-372560-8},
    doi = {10.1016/B978-0-12-372560-8.X5000-1}
}

@article{friston2010free,
    title = {The free-energy principle: A unified brain theory?},
    author = {Friston, Karl J.},
    journal = {Nature Reviews Neuroscience},
    year = {2010},
    volume = {11},
    number = {2},
    pages = {127--138},
    doi = {10.1038/nrn2787}
}

@article{da2020active,
    title = {Active inference on discrete state-spaces: A synthesis},
    author = {Da Costa, Lancelot and Parr, Thomas and Sajid, Noor and Veselic, Sebastijan and Neacsu, Victorita and Friston, Karl J.},
    journal = {Journal of Mathematical Psychology},
    year = {2020},
    volume = {99},
    pages = {102447},
    doi = {10.1016/j.jmp.2020.102447}
}

@article{kaelbling1998planning,
    title = {Planning and acting in partially observable stochastic domains},
    author = {Kaelbling, Leslie Pack and Littman, Michael L. and Cassandra, Anthony R.},
    journal = {Artificial Intelligence},
    year = {1998},
    volume = {101},
    number = {1-2},
    pages = {99--134},
    doi = {10.1016/S0004-3702(98)00023-X}
}

@article{friston2021sophisticated,
    title = {Sophisticated inference},
    author = {Friston, Karl J. and Da Costa, Lancelot and Hafner, Danijar and Hesp, Casper and Parr, Thomas},
    journal = {Neural Computation},
    year = {2021},
    volume = {33},
    number = {3},
    pages = {713--763},
    doi = {10.1162/neco_a_01351}
}

@article{schwartenbeck2015dopaminergic,
    title = {The dopaminergic midbrain encodes the expected certainty about desired outcomes},
    author = {Schwartenbeck, Philipp and FitzGerald, Thomas and Mathys, Christoph and Dolan, Ray and Friston, Karl J.},
    journal = {Cerebral Cortex},
    year = {2015},
    volume = {25},
    number = {10},
    pages = {3434--3445},
    doi = {10.1093/cercor/bhu159}
}

@article{smith2020imprecise,
    title = {Imprecise action selection in substance use disorder: Evidence for active learning impairments when solving the explore-exploit dilemma},
    author = {Smith, Ryan and Schwartenbeck, Philipp and Stewart, Jennifer L. and Kuplicki, Rayus and Ekhtiari, Hamed and Paulus, Martin P. and {Tulsa 1000 Investigators}},
    journal = {Drug and Alcohol Dependence},
    year = {2020},
    volume = {215},
    pages = {108208},
    doi = {10.1016/j.drugalcdep.2020.108208}
}

@article{smith2021greater,
    title = {Greater decision uncertainty characterizes a transdiagnostic patient sample during approach-avoidance conflict: A computational modelling approach},
    author = {Smith, Ryan and Kirlic, Namik and Stewart, Jennifer L. and Touthang, James and Kuplicki, Rayus and Khalsa, Sahib S. and Feinstein, Justin and Paulus, Martin P. and Aupperle, Robin L.},
    journal = {Journal of Psychiatry \& Neuroscience},
    year = {2021},
    volume = {46},
    number = {1},
    pages = {E74},
    doi = {10.1503/jpn.200032}
}

@article{smith2022step,
  title={A step-by-step tutorial on active inference and its application to empirical data},
  author={Smith, Ryan and Friston, Karl J and Whyte, Christopher J},
  journal={Journal of Mathematical Psychology},
  volume={107},
  pages={102632},
  year={2022},
  publisher={Elsevier},
  doi={10.1016/j.jmp.2021.102632}
}

@article{friston2008variational,
    title = {DEM: A variational treatment of dynamic systems},
    author = {Friston, Karl J. and Trujillo-Barreto, N. and Daunizeau, Jean},
    journal = {NeuroImage},
    volume = {41},
    number = {3},
    pages = {849--885},
    year = {2008},
    doi = {10.1016/j.neuroimage.2008.02.054}
}

@misc{friston2019free,
  title={A free energy principle for a particular physics},
  author={Friston, Karl},
  eprint={1906.10184v1},
  archivePrefix={arXiv},
  primaryClass={q-bio.NC}, 
  year={2019}
}

@article{millidge2020deep,
    title = {Deep active inference as variational policy gradients},
    author = {Millidge, Beren},
    journal = {Journal of Mathematical Psychology},
    year = {2020},
    volume = {96},
    pages = {102348},
    doi = {10.1016/j.jmp.2020.102348}
}

@inproceedings{millidge2020relationship,
    title = {On the relationship between active inference and control as inference},
    author = {Millidge, Beren and Tschantz, Alexander and Seth, Anil K. and Buckley, Christopher L.},
    booktitle = {International Workshop on Active Inference},
    year = {2020},
    pages = {3--11},
    organization = {Springer},
    doi = {10.1007/978-3-030-64919-7_1}
}

@article{ForneyLab2019,
	title = {A factor graph approach to automated design of {Bayesian} signal processing algorithms},
	volume = {104},
	issn = {0888-613X},
	url = {http://www.sciencedirect.com/science/article/pii/S0888613X18304298},
	doi = {10.1016/j.ijar.2018.11.002},
	abstract = {The benefits of automating design cycles for Bayesian inference-based algorithms are becoming increasingly recognized by the machine learning community. As a result, interest in probabilistic programming frameworks has much increased over the past few years. This paper explores a specific probabilistic programming paradigm, namely message passing in Forney-style factor graphs (FFGs), in the context of automated design of efficient Bayesian signal processing algorithms. To this end, we developed “ForneyLab”2 as a Julia toolbox for message passing-based inference in FFGs. We show by example how ForneyLab enables automatic derivation of Bayesian signal processing algorithms, including algorithms for parameter estimation and model comparison. Crucially, due to the modular makeup of the FFG framework, both the model specification and inference methods are readily extensible in ForneyLab. In order to test this framework, we compared variational message passing as implemented by ForneyLab with automatic differentiation variational inference (ADVI) and Monte Carlo methods as implemented by state-of-the-art tools “Edward” and “Stan”. In terms of performance, extensibility and stability issues, ForneyLab appears to enjoy an edge relative to its competitors for automated inference in state-space models.},
	urldate = {2018-11-16},
	journal = {International Journal of Approximate Reasoning},
	author = {Cox, Marco and van de Laar, Thijs and de Vries, Bert},
	month = jan,
	year = {2019},
	keywords = {Bayesian inference, Message passing, Factor graphs, Julia, Probabilistic programming},
	pages = {185--204}
}

@article{gregory1980perceptions,
  title={Perceptions as hypotheses},
  author={Gregory, Richard Langton},
  journal={Philosophical Transactions of the Royal Society of London. B, Biological Sciences},
  volume={290},
  number={1038},
  pages={181--197},
  year={1980},
  publisher={The Royal Society London},
  doi={10.1098/rstb.1980.0090}
}

@misc{brockman2016openai,
  title={Openai gym},
  author={Brockman, Greg and Cheung, Vicki and Pettersson, Ludwig and Schneider, Jonas and Schulman, John and Tang, Jie and Zaremba, Wojciech},
  eprint={1606.01540v1},
  archivePrefix={arXiv},
  primaryClass={cs.LG},
  year={2016}
}

@article{friston2016active,
    title = {Active inference and learning},
    author = {Friston, Karl J. and FitzGerald, Thomas and Rigoli, Francesco and Schwartenbeck, Philipp and O'Doherty, John and Pezzulo, Giovanni},
    journal = {Neuroscience \& Biobehavioral Reviews},
    year = {2016},
    volume = {68},
    pages = {862--879},
    doi = {10.1016/j.neubiorev.2016.06.022}
}

@article{dayan1995helmholtz,
    title = {The Helmholtz Machine},
    author = {Dayan, Peter and Hinton, Geoffrey E. and Neal, Radford M. and Zemel, Richard S.},
    journal = {Neural Computation},
    year = {1995},
    volume = {7},
    number = {5},
    pages = {889--904},
    doi = {10.1162/neco.1995.7.5.889}
}

@misc{von1910treatise,
    title = {Treatise on physiological optics (Vol. 3)},
    author = {Von Helmholtz, Herman and Southall, JPC},
    year = {1910},
    publisher = {Dover, New York},
    doi = {10.1037/13536-000}
}

@inproceedings{hinton1983optimal,
    title = {Optimal perceptual inference},
    author = {Hinton, Geoffrey E. and Sejnowski, Terrence J.},
    booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
    volume = {448},
    year = {1983},
    organization = {Citeseer},
    url = {http://www.cs.toronto.edu/~hinton/absps/optimal.pdf}
}

@inproceedings{baioumy2021towards,
    title={Towards Stochastic Fault-Tolerant Control Using Precision Learning and Active Inference},
    author={Baioumy, Mohamed and Pezzato, Corrado and Corbato, Carlos Hernandez and Hawes, Nick and Ferrari, Riccardo},
    booktitle={Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
    year={2022},
    publisher={Springer International Publishing},
    pages={681--691},
    isbn={978-3-030-93736-2},
    doi = {10.1007/978-3-030-93736-2_48}
}

@article{ccatal2021robot,
    title = {Robot navigation as hierarchical active inference},
    author = {{\c{C}}atal, Ozan and Verbelen, Tim and Van de Maele, Toon and Dhoedt, Bart and Safron, Adam},
    journal = {Neural Networks},
    year = {2021},
    volume = {142},
    pages = {192--204},
    doi = {10.1016/j.neunet.2021.05.010}
}

@article{wirkuttis2021leading,
    title = {Leading or following? Dyadic robot imitative interaction using the active inference framework},
    author = {Wirkuttis, Nadine and Tani, Jun},
    journal = {IEEE Robotics and Automation Letters},
    year = {2021},
    volume = {6},
    number = {3},
    pages = {6024--6031},
    doi = {10.1109/LRA.2021.3090015}
}

@article{martinez2021probabilistic,
    title = {Probabilistic modeling for optimization of bioreactors using reinforcement learning with active inference},
    author = {Mart{\'i}nez, Ernesto C. and Kim, Jong Woo and Barz, Tilman and Bournazou, Mariano N. Cruz},
    journal = {Computer Aided Chemical Engineering},
    year = {2021},
    volume = {50},
    pages = {419--424},
    doi = {10.1016/B978-0-323-88506-5.50066-8}
}

@misc{moreno2021pid,
    title = {PID control as a process of active inference applied to a refrigeration system},
    author = {Moreno, Adri{\'a}n Rocandio},
    year = {2021},
    url = {https://projekter.aau.dk/projekter/files/415131289/1034_PID_Control_as_Active_Inference.pdf}
}

@article{parr2019generalised,
    title = {Generalised free energy and active inference},
    author = {Parr, Thomas and Friston, Karl J.},
    journal = {Biological Cybernetics},
    year = {2019},
    volume = {113},
    number = {5},
    pages = {495--513},
    doi = {10.1007/s00422-019-00805-w}
}

@misc{hipolito2021enactive,
    title = {Enactive-Dynamic Social Cognition and Active Inference},
    author = {Hip{\'o}lito, In{\^e}s and van Es, Thomas},
    year = {2021},
    url = {http://philsci-archive.pitt.edu/19653/}
}

@article{fox2021active,
    title = {Active inference: Applicability to different types of social organization explained through reference to industrial engineering and quality management},
    author = {Fox, Stephen},
    journal = {Entropy},
    year = {2021},
    volume = {23},
    number = {2},
    pages = {198},
    doi = {10.3390/e23020198}
}

@article{tison2021communication,
    title = {Communication as socially extended active inference: An ecological approach to communicative behavior},
    author = {Tison, Remi and Poirier, Pierre},
    journal = {Ecological Psychology},
    year = {2021},
    volume = {33},
    pages = {197--235},
    doi = {10.1080/10407413.2021.1965480}
}

@article{friston2013life,
    title = {Life as we know it},
    author = {Friston, Karl J.},
    journal = {Journal of the Royal Society Interface},
    year = {2013},
    volume = {10},
    number = {86},
    pages = {20130475},
    doi = {10.1098/rsif.2013.0475}
}

@article{schwartenbeck2019computational,
    title = {Computational mechanisms of curiosity and goal-directed exploration},
    author = {Schwartenbeck, Philipp and Passecker, Johannes and Hauser, Tobias U. and FitzGerald, Thomas and Kronbichler, Martin and Friston, Karl J.},
    journal = {Elife},
    year = {2019},
    volume = {8},
    pages = {e41703},
    doi = {10.7554/eLife.41703}
}

@article{friston2017active,
    title = {Active inference, curiosity and insight},
    author = {Friston, Karl J. and Lin, Marco and Frith, Christopher D. and Pezzulo, Giovanni and Hobson, J. Allan and Ondobaka, Sasha},
    journal = {Neural Computation},
    year = {2017},
    volume = {29},
    number = {10},
    pages = {2633--2683},
    doi = {10.1162/neco_a_00999}
}

@misc{lance_lnA,
  author = "Da Costa, Lancelot",
  date = "2021",
  howpublished = "Personal communication"
}

@article{holmes2021active,
  title={Active inference, selective attention, and the cocktail party problem},
  author={Holmes, Emma and Parr, Thomas and Griffiths, Timothy D and Friston, Karl J},
  journal={Neuroscience \& Biobehavioral Reviews},
  volume={131},
  pages={1288--1304},
  year={2021},
  publisher={Elsevier},
  doi={10.1016/j.neubiorev.2021.09.038}
}

@article{adams2021everything,
  title={Everything is connected: Inference and attractors in delusions},
  author={Adams, Rick A and Vincent, Peter and Benrimoh, David and Friston, Karl J and Parr, Thomas},
  journal={Schizophrenia research},
  year={2021},
  publisher={Elsevier},
  doi={10.1016/j.schres.2021.07.032}
}

@article{parr2020prefrontal,
  title={Prefrontal computation as active inference},
  author={Parr, Thomas and Rikhye, Rajeev Vijay and Halassa, Michael M and Friston, Karl J},
  journal={Cerebral Cortex},
  volume={30},
  number={2},
  pages={682--695},
  year={2020},
  publisher={Oxford University Press}
}

@article{smith2021long,
  title={Long-term stability of computational parameters during approach-avoidance conflict in a transdiagnostic psychiatric patient sample},
  author={Smith, Ryan and Kirlic, Namik and Stewart, Jennifer L and Touthang, James and Kuplicki, Rayus and McDermott, Timothy J and Taylor, Samuel and Khalsa, Sahib S and Paulus, Martin P and Aupperle, Robin L},
  journal={Scientific reports},
  volume={11},
  number={1},
  pages={1--13},
  year={2021},
  publisher={Nature Publishing Group},
  doi={10.1038/s41598-021-91308-x}
}