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  2024 (2)
Mechanisms “all the way down”? Review article of Mechanisms in Physics and Beyond by B. Falkeburg and G. Schiemann (editors). 2024. To appear in Philosophical Problems in Science (ZFN), Poland
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Moral coherentism in the age of Artificial Intelligence. A pattern-based project in machine moral learning. Muntean, I. 2024. To appear in American Philosophical Quarterly, volume 61, issue 2. Preprint available on demand.
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  2023 (6)
The "it from bit" or "(b)it from fit". Speculating on a quantum evolutionary computing paradigm. 2023.
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A functional and interventionist approach to scientific progress: computational science at work. Muntean, I. 2023. Presented at HPS9, 2023 03
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Algorithmic explanations in machine learning: in search for explananda. Muntean, I. 2023. Presented at IACAP 2022 and APA 2023
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Ontic and epistemic explanations: their coexistence, interdependence and interoperability in epistemic environments. 2023.
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Scientific progress as a function of creativity: the ‘distributive’ approach. 2023.
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Artificial creativity and artificial agency in science. Muntean, I. 2023.
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  2022 (5)
Autonomy and intelligence of artificial agents: modeling, experimentation and simulation in AI. October 2022. Presented at PSX6 in Saint Louis, October 2021
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Digital self-knowledge: model building, understanding, explanation of the self in the digital world. April 2022. Presented as an internal talk at UTRGV in April 2022
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Trust and artificial agency: a metacognitive proposal. 2022.
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Explanation without representation in computational models: the machine learning case. April 2022. Presented at APA Pacific 2022
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Perspectives and models: a functional and relational approach. How perspectives make models represent. January 2022. a 30+ pages manuscript in preparation; presented at Principia Symposium (Brasil), SIFA 2021 and APA 2022
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  2021 (3)
Metacognition of trust: artificial agents, science, and Bayes. June 2021. Full paper, about 3000 words long. Available on demand. Presented at CEPE in May 2019.
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Consciousness and the digital identity. A Bayesian proposal. January 2021.
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A probabilistic-functional approach to perspectivism. February 2021. Presented at ECAP10, August 2020. Potential root ideas for the APA Central 2022 presentation
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  2020 (1)
Science and humanism between accuracy and confidence: a plea for a metacognitive approach to trust in science. November 2020. Presented at a workshop at U of Miami in November 2020
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  2019 (5)
A metacognitive approach to trust and a case study: artificial agency. September 2019. 3000 words manuscript, available on demand
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Coherentism, data, and patterns in ethics. The machine moral learning case. April 2019.
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Error, tractability, and fallibilism in machine learning. One case study from particle physics. March 2019.
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Moral and technological cognition: evolution and learning. January 2019.
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Can quantum metaphysical indeterminacy be relational? An approach based on decoherence. April 2019.
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  2018 (10)
Aggregating multilevel mechanistic models from Big Data with Machine Learning. 2018.
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Artificial power and artificial morality: the multiobjective approach. December 2018.
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K. Stanford’s “unconceived alternatives” from the perspective of scientific unification and coherence. April 2018.
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AI: risk, fallibilism, and trust. A Bayesian approach. November 2018.
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Consciousness and machine learning: fallibilism, self-awareness and rationality. A Bayesian proposal. November 2018.
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Multi-objective decision theory in artificial intelligence and artificial morality. November 2018.
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Rationality and uncertainty in machine learning. A Bayesian approach. 2018.
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Adding structures to the future. The case of forecast models. June 2018.
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Adding order to the future. Maps and structures in forecast models. September 2018.
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Principle-based and computational-based varieties of scientific realism. 2018.
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  2017 (10)
New work for an account of principles as meta-laws: to protect, constrain, or enable inter-field relations. 2017.
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Pattern computationalism (pattern-alism) in machine ethics: a defense. February 2017.
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Fictions, maps, and structures in forecast models. February 2017.
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“Unconceived alternatives” or “expected unifications”? An eliminative argument against K. Stanford’s “New Induction”. January 2017.
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Unification, decoupling, and identification in the “Palatini formalism”. February 2017.
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The small from the Big: discovering models and mechanisms with machine learning. February 2017.
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Realism in moduli space: constants, coupling, and hierarchies of theories. November 2017.
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A bottom-up ‘Better Best System ’ of lawhood: compressibility , patterns, and mining Big Data. October 2017.
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A dual approach to artificial intelligence and artificial morality. Evolution and learning. December 2017.
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The "artifact turn" in philosophy. 2017.
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  2016 (8)
The structure in Th. Sider’s ontological realism: multiplicity and scale relativity. January 2016.
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Strong-Weak Dualities and Scientific Realism: History and Present Cases. February 2016.
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Representation, prediction, and fictions in forecast models. December 2016.
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Discovering, learning, and improving ethics in the digital universe. September 2016.
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A new digital epistemology? The case of evolutionary computation used in discovery. February 2016.
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Digital guesswork. March 2016.
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Discovering small models from Big Data: machine learning and evolutionary algorithms. July 2016.
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The variational principles of classical mechanics: modalities, dispositions or mathematical fictions?. January 2016.
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  2015 (3)
AdS/CFT as unification. May 2015.
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Moral functionalism and dispositions in normative agency. The artificial case. September 2015.
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Virtues of artificial agents: an agent-centric, case-based model based on 'soft computation'. June 2015.
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  2014 (1)
Plurality of models, optimization and mechanisms in climate studies. The role of feedback in the new IPCC report. October 2014.
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  2013 (2)
Distilling experimental data into laws: the upward epistemology of evolutionary computation. February 2013.
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Identity, individuation, and “model-building” in cognitive science. 2013.
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  2012 (1)
Least action principle and modality. 2012.
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