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Models, robustness, and non-causal explanation: a foray into cognitive science and biology
16 references·0 citing·42 second hop
Models, robustness, and non-causal explanation: a foray into cognitive science and biology (2014)Models, robustness, and non-causal explan…Neuroeconomics: decision making and the brain (2014)Neuroeconomics: decision maki…The Explanatory Force of Dynamical and Mathematical Models in Neuroscience: A Mechanistic Perspective (2011)The Explanatory Force of Dyna…Science in the Age of Computer Simulation (2010)Science in the Age of Compute…How scientific models can explain (2009)How scientific models can exp…Depth: an account of scientific explanation (2009)Depth: an account of scientif…Depth: An Account of Scientific Explanation (2009)Depth: An Account of Scientif…Explaining the Brain (2007)Explaining the BrainWhen mechanistic models explain (2006)When mechanistic models expla…Optimal Predictions in Everyday Cognition (2006)Optimal Predictions in Everyd…Extending ourselves: computational science, empiricism, and scientific method (2005)Extending ourselves: computat…Are there Genuine Mathematical Explanations of Physical Phenomena? (2005)Are there Genuine Mathematica…Making things happen: a theory of causal explanation (2004)Making things happen: a theor…Extending Ourselves (2004)Extending OurselvesThe devil in the details : asymptotic reasoning in explanation, reduction, and emergence (2002)The devil in the details : as…Thinking about Mechanisms (2000)Thinking about MechanismsHow persuasive is a good fit? A comment on theory testing. (2000)How persuasive is a good fit?…Risk, Ambiguity, and the Savage Axioms (1961)Prospect theory: An analysis of decision under risk (1988)Neuroeconomics: How Neuroscience Can Inform Economics (2005)Neuroeconomics: Decision Making and the Brain (2009)Influencing behaviour: The mindspace way (2011)The psychology of social dilemmas: A review (2013)Principles of Behavior (1944)Confirmation Bias: A Ubiquitous Phenomenon in Many Guises (1998)Structural Equation Modeling: Strengths, Limitations, and Misconceptions (2004)Moving beyond multiple regression analysis to algorithms: Calling for adoption of a paradigm shift from symmetric to asymmetric thinking in data analysis and crafting theory (2013)The Logic of Scientific Discovery (2013)On the Emancipation of PLS-SEM: A Commentary on Rigdon (2012) (2014)The Structure of Science (1961)Scientific Explanation and the Causal Structure of the World (1985)Discovering complexity: decomposition and localization as strategies in scientific research (1993)Explanation and Understanding (2005)Scientific Explanation and the Causal Structure of the World (2020)The Scientific Image. (1982)Representing and Intervening (1983)Integrating psychology and neuroscience: functional analyses as mechanism sketches (2011)Judgment under Uncertainty: Heuristics and Biases (1974)Judgment under Uncertainty: Heuristics and Biases (1975)Judgment under Uncertainty (1982)The Econometrics of DSGE Models (2009)One and Done? Optimal Decisions From Very Few Samples (2014)The life course cube: A tool for studying lives (2018)I.—COMPUTING MACHINERY AND INTELLIGENCE (1950)The Scientific Image (1980)The Structure of Scientific Revolutions (1996)The philosophical novelty of computer simulation methods (2008)No understanding without explanation (2013)Minimal Model Explanations (2014)Understanding Why (2015)The Cambridge handbook of thinking and reasoning (2005)Causal Mechanisms in the Social Sciences (2010)A network theory of mental disorders (2017)Nonreductive Physicalism and the Limits of the Exclusion Principle (2009)The AHA! Experience: Creativity Through Emergent Binding in Neural Networks (2010)Insects have the capacity for subjective experience (2016)Neural Computation and the Computational Theory of Cognition (2012)In defence of the value free ideal (2013)The cognitive neuroscience revolution (2015)
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References

  • 2004Making things happen: a theory of causal explanation3,371 cited
  • 2000Thinking about Mechanisms3,178 cited
  • 2007Explaining the Brain1,558 cited
  • 2014Neuroeconomics: decision making and the brain1,009 cited
  • 2000How persuasive is a good fit? A comment on theory testing.876 cited
  • 2010Science in the Age of Computer Simulation710 cited
  • 2006Optimal Predictions in Everyday Cognition645 cited
  • 2009Depth: An Account of Scientific Explanation597 cited
  • 2004Extending Ourselves550 cited
  • 2006When mechanistic models explain507 cited
  • 2002The devil in the details : asymptotic reasoning in explanation, reduction, and emergence493 cited
  • 2005Extending ourselves: computational science, empiricism, and scientific method487 cited
  • 2009Depth: an account of scientific explanation429 cited
  • 2011The Explanatory Force of Dynamical and Mathematical Models in Neuroscience: A Mechanistic Perspective378 cited
  • 2005Are there Genuine Mathematical Explanations of Physical Phenomena?371 cited
  • 2009How scientific models can explain

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