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Matteo Colombo
Tilburg University
  1. Estimating the Reproducibility of Experimental Philosophy.Florian Cova, Brent Strickland, Angela Abatista, Aurélien Allard, James Andow, Mario Attie, James Beebe, Renatas Berniūnas, Jordane Boudesseul, Matteo Colombo, Fiery Cushman, Rodrigo Diaz, Noah N’Djaye Nikolai van Dongen, Vilius Dranseika, Brian D. Earp, Antonio Gaitán Torres, Ivar Hannikainen, José V. Hernández-Conde, Wenjia Hu, François Jaquet, Kareem Khalifa, Hanna Kim, Markus Kneer, Joshua Knobe, Miklos Kurthy, Anthony Lantian, Shen-yi Liao, Edouard Machery, Tania Moerenhout, Christian Mott, Mark Phelan, Jonathan Phillips, Navin Rambharose, Kevin Reuter, Felipe Romero, Paulo Sousa, Jan Sprenger, Emile Thalabard, Kevin Tobia, Hugo Viciana, Daniel Wilkenfeld & Xiang Zhou - 2018 - Review of Philosophy and Psychology:1-36.
    Responding to recent concerns about the reliability of the published literature in psychology and other disciplines, we formed the X-Phi Replicability Project to estimate the reproducibility of experimental philosophy. Drawing on a representative sample of 40 x-phi studies published between 2003 and 2015, we enlisted 20 research teams across 8 countries to conduct a high-quality replication of each study in order to compare the results to the original published findings. We found that x-phi studies – as represented in our sample (...)
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  2. Bayesian Cognitive Science, Unification, and Explanation.Stephan Hartmann & Matteo Colombo - 2017 - British Journal for the Philosophy of Science 68 (2).
    It is often claimed that the greatest value of the Bayesian framework in cognitive science consists in its unifying power. Several Bayesian cognitive scientists assume that unification is obviously linked to explanatory power. But this link is not obvious, as unification in science is a heterogeneous notion, which may have little to do with explanation. While a crucial feature of most adequate explanations in cognitive science is that they reveal aspects of the causal mechanism that produces the phenomenon to be (...)
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  3. Explanatory Pluralism: An Unrewarding Prediction Error for Free Energy Theorists.Matteo Colombo & Cory Wright - 2017 - Brain and Cognition 112:3–12.
    Courtesy of its free energy formulation, the hierarchical predictive processing theory of the brain (PTB) is often claimed to be a grand unifying theory. To test this claim, we examine a central case: activity of mesocorticolimbic dopaminergic (DA) systems. After reviewing the three most prominent hypotheses of DA activity—the anhedonia, incentive salience, and reward prediction error hypotheses—we conclude that the evidence currently vindicates explanatory pluralism. This vindication implies that the grand unifying claims of advocates of PTB are unwarranted. More generally, (...)
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  4. Bayes in the Brain—On Bayesian Modelling in Neuroscience.Matteo Colombo & Peggy Seriès - 2012 - British Journal for the Philosophy of Science 63 (3):697-723.
    According to a growing trend in theoretical neuroscience, the human perceptual system is akin to a Bayesian machine. The aim of this article is to clearly articulate the claims that perception can be considered Bayesian inference and that the brain can be considered a Bayesian machine, some of the epistemological challenges to these claims; and some of the implications of these claims. We address two questions: (i) How are Bayesian models used in theoretical neuroscience? (ii) From the use of Bayesian (...)
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  5.  67
    First Principles in the Life Sciences: The Free-Energy Principle, Organicism, and Mechanism.Matteo Colombo & Cory Wright - forthcoming - Synthese:1-26.
    The free-energy principle claims that biological systems behave adaptively maintaining their physical integrity only if they minimize the free energy of their sensory states. Originally proposed to account for perception, learning, and action, the free-energy principle has been applied to the evolution, development, morphology, and function of the brain, and has been called a “postulate,” a “mandatory principle,” and an “imperative.” While it might afford a theoretical foundation for understanding the complex relationship between physical environment, life, and mind, its epistemic (...)
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  6. Being Realist About Bayes, and the Predictive Processing Theory of Mind.Matteo Colombo, Lee Elkin & Stephan Hartmann - forthcoming - British Journal for the Philosophy of Science:000-000.
    Some naturalistic philosophers of mind subscribing to the predictive processing theory of mind have adopted a realist attitude towards the results of Bayesian cognitive science. In this paper, we argue that this realist attitude is unwarranted. The Bayesian research program in cognitive science does not possess special epistemic virtues over alternative approaches for explaining mental phenomena involving uncertainty. In particular, the Bayesian approach is not simpler, more unifying, or more rational than alternatives. It is also contentious that the Bayesian approach (...)
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  7.  71
    Moving Forward (and Beyond) the Modularity Debate: A Network Perspective.Matteo Colombo - 2013 - Philosophy of Science 80 (3):356-377.
    Modularity is one of the most important concepts used to articulate a theory of cognitive architecture. Over the last 30 years, the debate in many areas of the cognitive sciences and in philosophy of psychology about what modules are, and to what extent our cognitive architecture is modular, has made little progress. After providing a diagnosis of this lack of progress, this article suggests a remedy. It argues that the theoretical framework of network science can be brought to bear on (...)
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  8. Models, Mechanisms, and Coherence.Matteo Colombo, Stephan Hartmann & Robert van Iersel - 2015 - British Journal for the Philosophy of Science 66 (1):181-212.
    Life-science phenomena are often explained by specifying the mechanisms that bring them about. The new mechanistic philosophers have done much to substantiate this claim and to provide us with a better understanding of what mechanisms are and how they explain. Although there is disagreement among current mechanists on various issues, they share a common core position and a seeming commitment to some form of scientific realism. But is such a commitment necessary? Is it the best way to go about mechanistic (...)
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  9.  40
    Experimental Philosophy of Explanation Rising: The Case for a Plurality of Concepts of Explanation.Matteo Colombo - 2017 - Cognitive Science 41 (2):503-517.
    This paper brings together results from the philosophy and the psychology of explanation to argue that there are multiple concepts of explanation in human psychology. Specifically, it is shown that pluralism about explanation coheres with the multiplicity of models of explanation available in the philosophy of science, and it is supported by evidence from the psychology of explanatory judgment. Focusing on the case of a norm of explanatory power, the paper concludes by responding to the worry that if there is (...)
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  10. Why Build a Virtual Brain? Large-Scale Neural Simulations as Jump Start for Cognitive Computing.Matteo Colombo - 2016 - Journal of Experimental and Theoretical Artificial Intelligence.
    Despite the impressive amount of financial resources recently invested in carrying out large-scale brain simulations, it is controversial what the pay-offs are of pursuing this project. One idea is that from designing, building, and running a large-scale neural simulation, scientists acquire knowledge about the computational performance of the simulating system, rather than about the neurobiological system represented in the simulation. It has been claimed that this knowledge may usher in a new era of neuromorphic, cognitive computing systems. This study elucidates (...)
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  11.  77
    Correction To: Estimating the Reproducibility of Experimental Philosophy.Florian Cova, Brent Strickland, Angela Abatista, Aurélien Allard, James Andow, Mario Attie, James Beebe, Renatas Berniūnas, Jordane Boudesseul, Matteo Colombo, Fiery Cushman, Rodrigo Diaz, Noah N’Djaye Nikolai van Dongen, Vilius Dranseika, Brian D. Earp, Antonio Gaitán Torres, Ivar Hannikainen, José V. Hernández-Conde, Wenjia Hu, François Jaquet, Kareem Khalifa, Hanna Kim, Markus Kneer, Joshua Knobe, Miklos Kurthy, Anthony Lantian, Shen-yi Liao, Edouard Machery, Tania Moerenhout, Christian Mott, Mark Phelan, Jonathan Phillips, Navin Rambharose, Kevin Reuter, Felipe Romero, Paulo Sousa, Jan Sprenger, Emile Thalabard, Kevin Tobia, Hugo Viciana, Daniel Wilkenfeld & Xiang Zhou - forthcoming - Review of Philosophy and Psychology:1-4.
    Appendix 1 was incomplete in the initial online publication. The original article has been corrected.
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  12. The Routledge Handbook of the Computational Mind.Mark Sprevak & Matteo Colombo (eds.) - 2018 - Routledge.
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  13.  18
    Bayesian Cognitive Science, Predictive Brains, and the Nativism Debate.Matteo Colombo - 2018 - Synthese 195 (11):4817-4838.
    The rise of Bayesianism in cognitive science promises to shape the debate between nativists and empiricists into more productive forms—or so have claimed several philosophers and cognitive scientists. The present paper explicates this claim, distinguishing different ways of understanding it. After clarifying what is at stake in the controversy between nativists and empiricists, and what is involved in current Bayesian cognitive science, the paper argues that Bayesianism offers not a vindication of either nativism or empiricism, but one way to talk (...)
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  14.  12
    10. Referees for Philosophy of Science Referees for Philosophy of Science (Pp. 479-482).Justin Garson, Yasha Rohwer, Collin Rice, Matteo Colombo, Peter Brössel, Davide Rizza, Simon M. Huttegger, Richard Healey, Alyssa Ney & Kathryn Phillips - 2013 - Philosophy of Science 80 (3):334-355.
  15.  52
    Explaining Social Norm Compliance. A Plea for Neural Representations.Matteo Colombo - 2014 - Phenomenology and the Cognitive Sciences 13 (2):217-238.
    How should we understand the claim that people comply with social norms because they possess the right kinds of beliefs and preferences? I answer this question by considering two approaches to what it is to believe (and prefer), namely: representationalism and dispositionalism. I argue for a variety of representationalism, viz. neural representationalism. Neural representationalism is the conjunction of two claims. First, what it is essential to have beliefs and preferences is to have certain neural representations. Second, neural representations are often (...)
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  16.  68
    Neural Representationalism, the Hard Problem of Content and Vitiated Verdicts. A Reply to Hutto & Myin.Matteo Colombo - 2014 - Phenomenology and the Cognitive Sciences 13 (2):257-274.
    Colombo’s (Phenomenology and the Cognitive Sciences, 2013) plea for neural representationalism is the focus of a recent contribution to Phenomenology and Cognitive Science by Daniel D. Hutto and Erik Myin. In that paper, Hutto and Myin have tried to show that my arguments fail badly. Here, I want to respond to their critique clarifying the type of neural representationalism put forward in my (Phenomenology and the Cognitive Sciences, 2013) piece, and to take the opportunity to make a few remarks of (...)
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  17.  16
    Editors’ Review and Introduction: Levels of Explanation in Cognitive Science: From Molecules to Culture.Matteo Colombo & Markus Knauff - 2020 - Topics in Cognitive Science 12 (4):1224-1240.
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  18.  64
    Deep and Beautiful. The Reward Prediction Error Hypothesis of Dopamine.Matteo Colombo - 2014 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 45 (1):57-67.
    According to the reward-prediction error hypothesis of dopamine, the phasic activity of dopaminergic neurons in the midbrain signals a discrepancy between the predicted and currently experienced reward of a particular event. It can be claimed that this hypothesis is deep, elegant and beautiful, representing one of the largest successes of computational neuroscience. This paper examines this claim, making two contributions to existing literature. First, it draws a comprehensive historical account of the main steps that led to the formulation and subsequent (...)
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  19.  45
    Explanatory Judgment, Moral Offense and Value-Free Science.Matteo Colombo, Leandra Bucher & Yoel Inbar - 2016 - Review of Philosophy and Psychology 7 (4):743-763.
    A popular view in philosophy of science contends that scientific reasoning is objective to the extent that the appraisal of scientific hypotheses is not influenced by moral, political, economic, or social values, but only by the available evidence. A large body of results in the psychology of motivated-reasoning has put pressure on the empirical adequacy of this view. The present study extends this body of results by providing direct evidence that the moral offensiveness of a scientific hypothesis biases explanatory judgment (...)
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  20. Constitutive Relevance and the Personal/Subpersonal Distinction.Matteo Colombo - 2012 - Philosophical Psychology (ahead-of-print):1–24.
    Can facts about subpersonal states and events be constitutively relevant to personal-level phenomena? And can knowledge of these facts inform explanations of personal-level phenomena? Some philosophers, like Jennifer Hornsby and John McDowell, argue for two negative answers whereby questions about persons and their behavior cannot be answered by using information from subpersonal psychology. Knowledge of subpersonal states and events cannot inform personal-level explanation such that they cast light on what constitutes persons? behaviors. In this paper I argue against this position. (...)
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  21.  23
    Bayesian Cognitive Science, Monopoly, and Neglected Frameworks.Matteo Colombo & Stephan Hartmann - 2015 - British Journal for the Philosophy of Science 68 (2):451–484.
    A widely shared view in the cognitive sciences is that discovering and assessing explanations of cognitive phenomena whose production involves uncertainty should be done in a Bayesian framework. One assumption supporting this modelling choice is that Bayes provides the best approach for representing uncertainty. However, it is unclear that Bayes possesses special epistemic virtues over alternative modelling frameworks, since a systematic comparison has yet to be attempted. Currently, it is then premature to assert that cognitive phenomena involving uncertainty are best (...)
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  22.  45
    Bayesian Cognitive Science, Predictive Brains, and the Nativism Debate.Matteo Colombo - 2017 - Synthese:1-22.
    The rise of Bayesianism in cognitive science promises to shape the debate between nativists and empiricists into more productive forms—or so have claimed several philosophers and cognitive scientists. The present paper explicates this claim, distinguishing different ways of understanding it. After clarifying what is at stake in the controversy between nativists and empiricists, and what is involved in current Bayesian cognitive science, the paper argues that Bayesianism offers not a vindication of either nativism or empiricism, but one way to talk (...)
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  23.  41
    Two Neurocomputational Building Blocks of Social Norm Compliance.Matteo Colombo - 2014 - Biology and Philosophy 29 (1):71-88.
    Current explanatory frameworks for social norms pay little attention to why and how brains might carry out computational functions that generate norm compliance behavior. This paper expands on existing literature by laying out the beginnings of a neurocomputational framework for social norms and social cognition, which can be the basis for advancing our understanding of the nature and mechanisms of social norms. Two neurocomputational building blocks are identified that might constitute the core of the mechanism of norm compliance. They consist (...)
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  24. Recipes for Science: An Introduction to Scientific Methods and Reasoning.Angela Potochnik, Matteo Colombo & Cory Wright - 2018 - New York: Routledge.
    There is widespread recognition at universities that a proper understanding of science is needed for all undergraduates. Good jobs are increasingly found in fields related to Science, Technology, Engineering, and Medicine, and science now enters almost all aspects of our daily lives. For these reasons, scientific literacy and an understanding of scientific methodology are a foundational part of any undergraduate education. Recipes for Science provides an accessible introduction to the main concepts and methods of scientific reasoning. With the help of (...)
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  25.  22
    For a Few Neurons More: Tractability and Neurally Informed Economic Modelling.Matteo Colombo - 2015 - British Journal for the Philosophy of Science 66 (4):713-736.
    There continues to be significant confusion about the goals, scope, and nature of modelling practice in neuroeconomics. This article aims to dispel some such confusion by using one of the most recent critiques of neuroeconomic modelling as a foil. The article argues for two claims. First, currently, for at least some economic model of choice behaviour, the benefits derivable from neurally informing an economic model do not involve special tractability costs. Second, modelling in neuroeconomics is best understood within Marr’s three-level (...)
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  26.  44
    Discovering Brain Mechanisms Using Network Analysis and Causal Modeling.Matteo Colombo & Naftali Weinberger - 2018 - Minds and Machines 28 (2):265-286.
    Mechanist philosophers have examined several strategies scientists use for discovering causal mechanisms in neuroscience. Findings about the anatomical organization of the brain play a central role in several such strategies. Little attention has been paid, however, to the use of network analysis and causal modeling techniques for mechanism discovery. In particular, mechanist philosophers have not explored whether and how these strategies incorporate information about the anatomical organization of the brain. This paper clarifies these issues in the light of the distinction (...)
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  27.  15
    Explanatory Value and Probabilistic Reasoning.Matteo Colombo, Leandra Bucher, Marie Postma & Jan Sprenger - unknown
    The question of how judgments of explanatory value inform probabilistic inference is well studied within psychology and philosophy. Less studied are the questions: How does probabilistic information affect judgments of explanatory value? Does probabilistic information take precedence over causal information in determining explanatory judgments? To answer these questions, we conducted two experimental studies. In Study 1, we found that probabilistic information had a negligible impact on explanatory judgments of event-types with a potentially unlimited number of available, alternative explanations; causal credibility (...)
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  28.  63
    Why Build a Virtual Brain? Large-Scale Neural Simulations as Test-Bed for Artificial Computing Systems.Matteo Colombo - 2015 - In D. C. Noelle, R. Dale, A. S. Warlaumont, J. Yoshimi, T. Matlock, C. D. Jennings & P. P. Maglio (eds.), Proceedings of the 37th Annual Conference of the Cognitive Science Society. Cognitive Science Society. pp. 429-434.
    Despite the impressive amount of financial resources invested in carrying out large-scale brain simulations, it is controversial what the payoffs are of pursuing this project. The present paper argues that in some cases, from designing, building, and running a large-scale neural simulation, scientists acquire useful knowledge about the computational performance of the simulating system, rather than about the neurobiological system represented in the simulation. What this means, why it is not a trivial lesson, and how it advances the literature on (...)
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  29.  44
    The Development of Implicit and Explicit Memory.Carolyn Rovee-Collier, Harlene Hayne & Michael Colombo (eds.) - 2001 - Amsterdam: John Benjamins.
    This is the only book that examines the theory and data on the development of implicit and explicit memory. It first describes the characteristics of implicit and explicit memory (including conscious recollection) and tasks used with adults to measure them. Next, it reviews the brain mechanisms thought to underlie implicit and explicit memory and the studies with amnesics that initially prompted the search for different neuroanatomically-based memory systems. Two chapters review the Jacksonian (first in, last out) principle and empirical evidence (...)
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  30. Conformorality. A Study on Group Conditioning of Normative Judgment.Chiara Lisciandra, Marie Postma-Nilsenová & Matteo Colombo - 2013 - Review of Philosophy and Psychology (4):751-764.
    How does other people’s opinion affect judgments of norm transgressions? In our study, we used a modification of the famous Asch paradigm to examine conformity in the moral domain. The question we addressed was how peer group opinion alters normative judgments of scenarios involving violations of moral, social, and decency norms. The results indicate that even moral norms are subject to conformity, especially in situations with a high degree of social presence. Interestingly, the degree of conformity can distinguish between different (...)
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  31.  6
    Deep and Beautiful. The Reward Prediction Error Hypothesis of Dopamine.Matteo Colombo - 2013 - Studies in History and Philosophy of Biological and Biomedical Sciences 45:57-67.
    According to the reward-prediction error hypothesis (RPEH) of dopamine, the phasic activity of dopaminergic neurons in the midbrain signals a discrepancy between the predicted and currently experienced reward of a particular event. It can be claimed that this hypothesis is deep, elegant and beautiful, representing one of the largest successes of computational neuroscience. This paper examines this claim, making two contributions to existing literature. First, it draws a comprehensive historical account of the main steps that led to the formulation and (...)
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  32.  45
    Explanatory Judgment, Probability, and Abductive Inference.Matteo Colombo, Marie Postma & Jan Sprenger - 2016 - In A. Papafragou, D. Grodner, D. Mirman & J. C. Trueswell (eds.), Proceedings of the 38th Annual Conference of the Cognitive Science Society (pp. 432-437) Cognitive Science Society. Austin, TX: Cognitive Science Society. pp. 432-437.
    Abductive reasoning assigns special status to the explanatory power of a hypothesis. But how do people make explanatory judgments? Our study clarifies this issue by asking: How does the explanatory power of a hypothesis cohere with other cognitive factors? How does probabilistic information affect explanatory judgments? In order to answer these questions, we conducted an experiment with 671 participants. Their task was to make judgments about a potentially explanatory hypothesis and its cognitive virtues. In the responses, we isolated three constructs: (...)
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  33.  64
    The Predictive Mind and Chess-Playing: A Reply to Shand.Matteo Colombo & Jan Sprenger - 2014 - Analysis 74 (4):603-608.
    In a recent Analysis piece, John Shand (2014) argues that the Predictive Theory of Mind provides a unique explanation for why one cannot play chess against oneself. On the basis of this purported explanatory power, Shand concludes that we have an extra reason to believe that PTM is correct. In this reply, we first rectify the claim that one cannot play chess against oneself; then we move on to argue that even if this were the case, Shand’s argument does not (...)
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  34.  56
    Olaf Sporns: Networks of the Brain: MIT Press, Cambridge, MA, 2011, Xi+243, $40.00, ISBN 978-0-262-01469-4. [REVIEW]Matteo Colombo - 2013 - Minds and Machines 23 (2):259-262.
  35. How Authentic Intentionality Can Be Enabled: A Neurocomputational Hypothesis. [REVIEW]Matteo Colombo - 2010 - Minds and Machines 20 (2):183-202.
    According to John Haugeland, the capacity for “authentic intentionality” depends on a commitment to constitutive standards of objectivity. One of the consequences of Haugeland’s view is that a neurocomputational explanation cannot be adequate to understand “authentic intentionality”. This paper gives grounds to resist such a consequence. It provides the beginning of an account of authentic intentionality in terms of neurocomputational enabling conditions. It argues that the standards, which constitute the domain of objects that can be represented, reflect the statistical structure (...)
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  36.  10
    Hippocampus, Delay Neurons, and Sensory Heterogeneity.Michael Colombo & Charles G. Gross - 1996 - Behavioral and Brain Sciences 19 (4):766-767.
  37.  20
    Avian and Mammalian Hippocampus: No Degrees of Freedom in Evolution of Function.Michael Colombo - 2003 - Behavioral and Brain Sciences 26 (5):554-555.
    Aboitiz et al. suggest that the mammalian isocortex is derived from the dorsal cortex of reptiles and birds, and that there has been a major divergence in the connectivity patterns (and hence function) of the mammalian and reptilian/avian hippocampus. There is considerable evidence to suggest, however, that the avian hippocampus serves the exact same function as the mammalian hippocampus.
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  38.  37
    Andy Clark, Surfing Uncertainty: Prediction, Action, and the Embodied Mind: New York: Oxford University Press, 2016, Xviii + 401, $29.95, ISBN 9780190217013.Matteo Colombo - 2017 - Minds and Machines 27 (2):381-385.
  39.  3
    Annotazioni storiche e letterarie su Nazario, "Pan. Lat." IV, 18, 1-6.Maurizio Colombo - 2004 - Hermes 132 (3):352-372.
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  40.  5
    Are There Differences in “Intelligence” Between Nonhuman Species? The Role of Contextual Variables.Michael Colombo & Damian Scarf - 2020 - Frontiers in Psychology 11.
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  41.  32
    Bryce Huebner: Macrocognition: A Theory of Distributed Minds and Collective Intentionality: Oxford University Press, Oxford, 2014, X+278, $65.00, ISBN 9780199926275.Matteo Colombo - 2015 - Minds and Machines 25 (1):103-109.
    Bryce Huebner’s Macrocognition is a book with a double mission. The first and main mission is “to show that there are cases of collective mentality in our world” . Cases of collective mentality are cases where groups, teams, mobs, firms, colonies or some other collectivities possess cognitive capacities or mental states in the same sense that we individually do. To accomplish this mission, Huebner develops an account of macrocognition, where “the term ‘macrocognition’ is intended as shorthand for the claim that (...)
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  42. Commentary On: Two Functional Components of the Hippocampal Memory System. Authors' Reply.M. Colombo, Cg Gross, M. Moscovitch, Dg Mumby, F. Toates, H. Eichenbaum, T. Otto & Nj Cohen - 1996 - Behavioral and Brain Sciences 19 (4):766-776.
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  43.  6
    Complying with Norms. A Neurocomputational Exploration.Matteo Colombo - 2012 - Dissertation, University of Edinburgh
    The subject matter of this thesis can be summarized by a triplet of questions and answers. Showing what these questions and answers mean is, in essence, the goal of my project. The triplet goes like this: Q: How can we make progress in our understanding of social norms and norm compliance? A: Adopting a neurocomputational framework is one effective way to make progress in our understanding of social norms and norm compliance. Q: What could the neurocomputational mechanism of social norm (...)
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  44.  5
    Damiano Modena, La théologie du cardinal Martini. Le Mystère au coeur de l’histoire. Namur, Paris, Éditions Lessius , 2015, 318 p. [REVIEW]Mattia Colombo - 2018 - Laval Théologique et Philosophique 74 (1):152-153.
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  45.  20
    Determinants of Judgments of Explanatory Power: Credibility, Generality, and Statistical Relevance.Matteo Colombo, Leandra Bucher & Jan Sprenger - 2017 - Frontiers in Psychology:doi:10.3389/fpsyg.2017.01430.
    Explanation is a central concept in human psychology. Drawing upon philosophical theories of explanation, psychologists have recently begun to examine the relationship between explanation, probability and causality. Our study advances this growing literature in the intersection of psychology and philosophy of science by systematically investigating how judgments of explanatory power are affected by the prior credibility of a potential explanation, the causal framing used to describe the explanation, the generalizability of the explanation, and its statistical relevance for the evidence. Collectively, (...)
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  46. Explanatory Value and Probabilistic Reasoning: An Empirical Study.Matteo Colombo, Marie Postma & Jan Sprenger - 2016 - Proceedings of the Cognitive Science Society.
    The relation between probabilistic and explanatory reasoning is a classical topic in philosophy of science. Most philosophical analyses are concerned with the compatibility of Inference to the Best Explanation with probabilistic, Bayesian inference, and the impact of explanatory considerations on the assignment of subjective probabilities. This paper reverses the question and asks how causal and explanatory considerations are affected by probabilistic information. We investigate how probabilistic information determines the explanatory value of a hypothesis, and in which sense folk explanatory practice (...)
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  47.  25
    Gualtiero Piccinini: Physical Computation: A Mechanistic Account: Oxford University Press, Oxford, 2015, Ix + 313, £35.00, ISBN 9780199658855.Matteo Colombo - 2016 - Minds and Machines 26 (3):307-312.
  48.  2
    Ios. Bell. Iud. 2, 366–387 E Cil XIV, 3608: Note Esegetiche E Cronologiche.Maurizio Colombo - 2015 - Klio 97 (2):648-670.
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  49.  9
    Intellectually Humble, but Prejudiced People. A Paradox of Intellectual Virtue.Matteo Colombo, Kevin Strangmann, Lieke Houkes, Zhasmina Kostadinova & Mark J. Brandt - forthcoming - Review of Philosophy and Psychology:1-19.
    Intellectual humility has attracted attention in both philosophy and psychology. Philosophers have clarified the nature of intellectual humility as an epistemic virtue; and psychologists have developed scales for measuring people’s intellectual humility. Much less attention has been paid to the potential effects of intellectual humility on people’s negative attitudes and to its relationship with prejudice-based epistemic vices. Here we fill these gaps by focusing on the relationship between intellectual humility and prejudice. To clarify this relationship, we conducted four empirical studies. (...)
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    Introduction: Objectivity in Science.Jan Sprenger, Raoul Gervais & Matteo Colombo - 2017 - Synthese 194 (12):4641-4642.
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