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  2020 (3)
A probabilistic-functional approach to perspectivism and a case study of perspectival computationalism. August 2020. Presented at ECAP10, August 2020.
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Science and humanism between accuracy and confidence: a plea for a metacognitive approach to trust in science. August 2020. To be presented at a workshop at U of Miami in November 2020
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Autonomy and intelligence of artificial agents: modeling, experimentation and simulation in AI. February 2020.
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  2019 (6)
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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Perspectives and models: a functional and relational approach. How perspectives make models represent. December 2019. a 30+ pages manuscript in preparation
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Metacognition of trust: artificial agents, science, and Bayes. June 2019. Full paper, about 3000 words long. Available on demand. Presented at CEPE in May 2019.
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Coherentism, data, and patterns in ethics. The machine moral learning case. April 2019.
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Can quantum metaphysical indeterminacy be relational? An approach based on decoherence. Muntean, I. April 2019.
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  2018 (10)
Consciousness and machine learning: fallibilism, self-awareness and rationality. A Bayesian proposal. November 2018.
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AI: risk, fallibilism, and trust. A Bayesian approach. November 2018.
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Adding structures to the future. The case of forecast models. June 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 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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Rationality and uncertainty in machine learning. A Bayesian approach. 2018.
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Artificial power and artificial morality: the multiobjective approach. December 2018.
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Multi-objective decision theory in artificial intelligence and artificial morality. November 2018.
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Aggregating multilevel mechanistic models from Big Data with Machine Learning. 2018.
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  2017 (9)
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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Unification, decoupling, and identification in the “Palatini formalism”. February 2017.
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A dual approach to artificial intelligence and artificial morality. Evolution and learning. December 2017.
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Moral coherentism, structures, and learning in machine ethics. August 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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The small from the Big: discovering models and mechanisms with machine learning. 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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  2016 (8)
The structure in Th. Sider’s ontological realism: multiplicity and scale relativity. January 2016.
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Digital guesswork. March 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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The variational principles of classical mechanics: modalities, dispositions or mathematical fictions?. January 2016.
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Strong-Weak Dualities and Scientific Realism: History and Present Cases. February 2016.
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A new digital epistemology? The case of evolutionary computation used in discovery. February 2016.
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Discovering small models from Big Data: machine learning and evolutionary algorithms. July 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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