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  2022 (2)
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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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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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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Consciousness and the digital identity. A Bayesian proposal. January 2021.
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  2020 (2)
A metacognitive approach to trust: agency, confidence, and autonomy. A case study of trust in artificial autonomous agents (AAA). Muntean, I. In Wittkower, D., editor(s), Computer Ethics - Philosophical Enquiry (CEPE) Proceedings, pages 14, Old Dominion University, January 2020. Digital Commons
A metacognitive approach to trust: agency, confidence, and autonomy. A case study of trust in artificial autonomous agents (AAA) [link]Paper   doi   link   bibtex  
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)
Can quantum metaphysical indeterminacy be relational? An approach based on decoherence. Muntean, I. April 2019.
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Moral and technological cognition: evolution and learning. January 2019.
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Error, tractability, and fallibilism in machine learning. One case study from particle physics. March 2019.
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Coherentism, data, and patterns in ethics. The machine moral learning case. April 2019.
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A metacognitive approach to trust and a case study: artificial agency. September 2019. 3000 words manuscript, available on demand
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  2018 (10)
Artificial power and artificial morality: the multi-objective approach. 2018.
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Aggregating multilevel mechanistic models from Big Data with Machine Learning. 2018.
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Principle-based and computational-based varieties of scientific realism. 2018.
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Rationality and uncertainty in machine learning. A Bayesian approach. 2018.
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K. Stanford’s “unconceived alternatives” from the perspective of scientific unification and coherence. April 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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AI: risk, fallibilism, and trust. A Bayesian approach. November 2018.
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Multi-objective decision theory in artificial intelligence and artificial morality. November 2018.
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Artificial power and artificial morality: the multiobjective approach. December 2018.
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  2017 (11)
The "artifact turn" in philosophy. 2017.
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New work for an account of principles as meta-laws: to protect, constrain, or enable inter-field relations. 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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Fictions, maps, and structures in forecast models. February 2017.
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Pattern computationalism (pattern-alism) in machine ethics: a defense. February 2017.
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The small from the Big: discovering models and mechanisms with machine learning. February 2017.
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Unification, decoupling, and identification in the “Palatini formalism”. February 2017.
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Moral coherentism, structures, and learning in machine ethics. August 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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Realism in moduli space: constants, coupling, and hierarchies of theories. November 2017.
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A dual approach to artificial intelligence and artificial morality. Evolution and learning. December 2017.
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  2016 (9)
A minimalist model of the artificial autonomous moral agent (AAMA). Muntean, I.; and Howard, D. In AAAI, 2016.
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The structure in Th. Sider’s ontological realism: multiplicity and scale relativity. January 2016.
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The variational principles of classical mechanics: modalities, dispositions or mathematical fictions?. January 2016.
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A new digital epistemology? The case of evolutionary computation used in discovery. February 2016.
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Strong-Weak Dualities and Scientific Realism: History and Present Cases. 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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Discovering, learning, and improving ethics in the digital universe. September 2016.
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Representation, prediction, and fictions in forecast models. December 2016.
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  2015 (4)
A minimal model for the artificial autonomous moral agent (AAMA): moral particularism and functionalism. Howard, D.; and Muntean, I. December 2015.
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AdS/CFT as unification. May 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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Moral functionalism and dispositions in normative agency. The artificial case. September 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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