Abriszewski, K. (2008). Poznanie, zbiorowość, polityka: analiza teorii aktora-sieci Bruno Latoura. Universitas.
Google Scholar

Afeltowicz, Ł., Wachowski, W. (2015). How far we can go without looking under the skin: The bounds of cognitive science. Studies in Logic, Grammar and Rhetoric, 40(1), 91-109. DOI: https://doi.org/10.1515/slgr-2015-0005
Google Scholar

Baetu, T.M. (2015). The completeness of mechanistic explanations. Philosophy of Science, 82(5), 775-786. DOI: https://doi.org/10.1086/683279
Google Scholar

Barabasi, A.-L., Banabeau, E. (2003). Sieci bezskalowe. Świat Nauki, czerwiec 2003.
Google Scholar

Bechtel, W. (2019a). Analysing network models to make discoveries about biological mechanisms. The British Journal for the Philosophy of Science, 70(2), 459-484. DOI: https://doi.org/10.1093/bjps/axx051
Google Scholar

Bechtel, W. (2019b). Networks and Dynamics: Twenty-First-Century Neuroscience. W S. Robins, J. Symons, P. Calvo (red.), The Routledge companion to philosophy of psychology (456-470). Routledge. DOI: https://doi.org/10.4324/9780429244629-28
Google Scholar

Bechtel, W. (2020). Hierarchy and levels: analysing networks to study mechanisms in molecular biology. Philosophical Transactions of the Royal Society. http://doi.org/10.1098/rstb.2019.0320. DOI: https://doi.org/10.1098/rstb.2019.0320
Google Scholar

Bechtel, W., Bich, L. (2021). Grounding cognition: Heterarchical control mechanisms in biology. Philosophical Transactions of the Royal Society, 376(1820). https://doi.org/10.1098/rstb.2019.0751. DOI: https://doi.org/10.1098/rstb.2019.0751
Google Scholar

Bechtel, W., Huang, L. (2020). Decentering Cognition. W Proceedings of the 42nd Annual Conference of the Cognitive Science Society (3247-3253). Cognitive Science Society.
Google Scholar

Bertolero, M.A., Bassett, D.S. (2020). On the nature of explanations offered by network science: A perspective from and for practicing neuroscientists. Topics in Cognitive Science, 12(4), 1272-1293. DOI: https://doi.org/10.1111/tops.12504
Google Scholar

Boone, W., Piccinini, G. (2016). Mechanistic abstraction. Philosophy of Science, 83(5), 686-697. DOI: https://doi.org/10.1086/687855
Google Scholar

Bullmore, E., Sporns, O. (2009). Complex brain networks: graph theoretical analysis of structural and functional systems. Nature reviews neuroscience, 10(3), 186-198. DOI: https://doi.org/10.1038/nrn2575
Google Scholar

Cao, R., Yamins, D. (2024). Explanatory models in neuroscience, Part 1: Taking mechanistic abstraction seriously. Cognitive Systems Research, 87. https://doi.org/10.1016/j.cogsys.2024.101244. DOI: https://doi.org/10.1016/j.cogsys.2024.101244
Google Scholar

Carrillo, N., Knuuttila, T. (2023). Mechanisms and the problem of abstract models. European Journal for Philosophy of Science, 13(3), 27. DOI: https://doi.org/10.1007/s13194-023-00530-z
Google Scholar

Colombo, M. (2013). Moving forward (and beyond) the modularity debate: A network perspective. Philosophy of Science, 80(3), 356-377. DOI: https://doi.org/10.1086/670331
Google Scholar

Craver, C.F. (2007). Explaining the brain: Mechanisms and the mosaic unity of neuroscience. Clarendon Press. DOI: https://doi.org/10.1093/acprof:oso/9780199299317.003.0007
Google Scholar

Craver, C.F. (2016). The explanatory power of network models. Philosophy of Science, 83(5), 698-709. DOI: https://doi.org/10.1086/687856
Google Scholar

Craver, C.F., Glennan, S., i Povich, M. (2021). Constitutive relevance and mutual manipulability revisited. Synthese, 199(3-4), 8807-8828. DOI: https://doi.org/10.1007/s11229-021-03183-8
Google Scholar

Craver, C.F., Kaplan, D.M. (2020). Are more details better? On the norms of completeness for mechanistic explanations. British Journal for the Philosophy of Science, 71(1), 287-319. DOI: https://doi.org/10.1093/bjps/axy015
Google Scholar

Fronczak, A., Fronczak, P. (2021). Świat sieci złożonych. Od fizyki do internetu. PWN.
Google Scholar

Hutchins, E. (1995). Cognition in the Wild. The MIT Press. DOI: https://doi.org/10.7551/mitpress/1881.001.0001
Google Scholar

Hutchins, E. (1996) Response to Reviewers. Mind, Culture, and Activity, 3(1), 64-68. DOI 10.1207/s15327884mca0301_6. DOI: https://doi.org/10.1207/s15327884mca0301_6
Google Scholar

Hutchins, E. (2010). Cognitive ecology. Topics in Cognitive Science, 2(4), 705-715. DOI: https://doi.org/10.1111/j.1756-8765.2010.01089.x
Google Scholar

Illari, P. (2013). Mechanistic explanation: Integrating the ontic and epistemic. Erkenntnis, 78, 237-255. DOI: https://doi.org/10.1007/s10670-013-9511-y
Google Scholar

Keller, J.D., Bazerman, C., i Latour, B. (1996). Cognition in the Wild (Book). Mind, Culture, and Activity, 3(1), 46-63. DOI 10.1207/s15327884mca0301_5. DOI: https://doi.org/10.1207/s15327884mca0301_5
Google Scholar

Kostić, D. (2018). The topological realization. Synthese, 195, 79-98. https://doi.org/10.1007/s11229-016-1248-0. DOI: https://doi.org/10.1007/s11229-016-1248-0
Google Scholar

Leuridan, B. (2012). Three problems for the mutual manipulability account of constitutive relevance in mechanisms. The British Journal for the Philosophy of Science, 63(2), 399-427. DOI: https://doi.org/10.1093/bjps/axr036
Google Scholar

Levy, A., Bechtel, W. (2013). Abstraction and the organization of mechanisms. Philosophy of Science, 80(2), 241-261. DOI: https://doi.org/10.1086/670300
Google Scholar

Matthewson, J. (2020). Detail and generality in mechanistic explanation. Studies in History and Philosophy of Science, Part A, 80, 28-36. DOI: https://doi.org/10.1016/j.shpsa.2018.06.001
Google Scholar

Milo, R., Shen-Orr, S., Itzkovitz, S., Kashtan, N., Chklovskii, D., i Alon, U. (2002). Network motifs: simple building blocks of complex networks. Science, 298(5594), 824-827. DOI: https://doi.org/10.1126/science.298.5594.824
Google Scholar

Miłkowski, M., Clowes, R., Rucińska, Z., Przegalińska, A., Zawidzki, T., Krueger, J., i Hohol, M. (2018). From wide cognition to mechanisms: A silent revolution. Frontiers in Psychology, 2393. https://doi.org/10.3389/fpsyg.2018.02393. DOI: https://doi.org/10.3389/fpsyg.2018.02393
Google Scholar

Newman, M.E., Watts, D.J., i Strogatz, S.H. (2002). Random graph models of social networks. Proceedings of the National Academy of Sciences, 99 (suppl. 1), 2566-2572. DOI: https://doi.org/10.1073/pnas.012582999
Google Scholar

Nowakowski, P. (2017). Embodied cognition: looking inward. Internetowy Magazyn Filozoficzny Hybris, 38, 74-97. DOI: https://doi.org/10.18778/1689-4286.38.06
Google Scholar

Overton, J.A. (2011). Mechanisms, types, and abstractions. Philosophy of Science, 78(5), 941-954. DOI: https://doi.org/10.1086/662274
Google Scholar

Serban, M. (2020). Exploring modularity in biological networks. Philosophical Transactions of the Royal Society B, 375(1796). https://doi.org/10.1098/rstb.2019.0316. DOI: https://doi.org/10.1098/rstb.2019.0316
Google Scholar

Van Eck, D., Wright, C. (2021). Mechanist idealisation in systems biology. Synthese, 199, 1555-1575. DOI: https://doi.org/10.1007/s11229-020-02816-8
Google Scholar

Wachowski, W. (2015). Płeć kulturowa w rozproszonych systemach poznawczych – możliwości konceptualizacji. Argument: Biannual Philosophical Journal, 5(1), 135-150.
Google Scholar

Wachowski, W. (2022) Poznanie rozproszone. Od heurystyk do mechanizmów. Wydawnictwo UMCS.
Google Scholar

Watts, D., Strogatz, S. (1998). Collective dynamics of ‘small-world’ networks. Nature 393, 440-442. https://doi.org/10.1038/30918. DOI: https://doi.org/10.1038/30918
Google Scholar

Wilson, R.J. (2012). Wprowadzenie do teorii grafów. PWN.
Google Scholar

Wipszycka, E. (2014). Drugi dar Nilu, czyli o mnichach i klasztorach w późnoantycznym Egipcie. Wydawnictwo Benedyktynów.
Google Scholar

Zach, M. (2022). Revisiting abstraction and idealization: how not to criticize mechanistic explanation in molecular biology. European Journal for Philosophy of Science, 12(1), 21. DOI: https://doi.org/10.1007/s13194-022-00453-1
Google Scholar