23 found
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  1.  13
    How Prescriptive Norms Influence Causal Inferences.Jana Samland & Michael R. Waldmann - 2016 - Cognition 156:164-176.
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  2.  19
    Transfer Effects Between Moral Dilemmas: A Causal Model Theory.Alex Wiegmann & Michael R. Waldmann - 2014 - Cognition 131 (1):28-43.
  3.  10
    Lying Despite Telling the Truth.Alex Wiegmann, Jana Samland & Michael R. Waldmann - 2016 - Cognition 150:37-42.
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  4.  29
    Causal Reasoning Through Intervention.York Hagmayer, Steven A. Sloman, David A. Lagnado & Michael R. Waldmann - 2007 - In Alison Gopnik & Laura Schulz (eds.), Causal Learning: Psychology, Philosophy, and Computation. Oxford University Press.
  5.  8
    Moral Judgment.Michael R. Waldmann, Jonas Nagel & Alex Wiegmann - 2012 - The Oxford Handbook of Thinking and Reasoning.
    The past decade has seen a renewed interest in moral psychology. A unique feature of the present endeavor is its unprecedented interdisciplinarity. For the first time, cognitive, social, and developmental psychologists, neuroscientists, experimental philosophers, evolutionary biologists, and anthropologists collaborate to study the same or overlapping phenomena. This review focuses on moral judgments and is written from the perspective of cognitive psychologists interested in theories of the cognitive and affective processes underlying judgments in moral domains. The review will first present and (...)
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  6.  15
    Agents and Causes: Dispositional Intuitions As a Guide to Causal Structure.Ralf Mayrhofer & Michael R. Waldmann - 2015 - Cognitive Science 39 (1):65-95.
    Currently, two frameworks of causal reasoning compete: Whereas dependency theories focus on dependencies between causes and effects, dispositional theories model causation as an interaction between agents and patients endowed with intrinsic dispositions. One important finding providing a bridge between these two frameworks is that failures of causes to generate their effects tend to be differentially attributed to agents and patients regardless of their location on either the cause or the effect side. To model different types of error attribution, we augmented (...)
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  7.  3
    Structure Induction in Diagnostic Causal Reasoning.Björn Meder, Ralf Mayrhofer & Michael R. Waldmann - 2014 - Psychological Review 121 (3):277-301.
  8.  11
    The Role of Prescriptive Norms and Knowledge in Children’s and Adults’ Causal Selection.Jana Samland, Marina Josephs, Michael R. Waldmann & Hannes Rakoczy - 2016 - Journal of Experimental Psychology: General 145 (2):125-130.
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  9.  6
    Predictive and Diagnostic Learning Within Causal Models: Asymmetries in Cue Competition.Michael R. Waldmann & Keith J. Holyoak - 1992 - Journal of Experimental Psychology: General 121 (2):222-236.
  10.  12
    Causal Models and the Acquisition of Category Structure.Michael R. Waldmann, Keith J. Holyoak & Angela Fratianne - 1995 - Journal of Experimental Psychology: General 124 (2):181.
  11.  22
    Beyond Covariation.David A. Lagnado, Michael R. Waldmann, York Hagmayer & Steven A. Sloman - 2007 - In Alison Gopnik & Laura Schulz (eds.), Causal Learning: Psychology, Philosophy, and Computation. Oxford University Press.
  12.  8
    Estimating Causal Strength: The Role of Structural Knowledge and Processing Effort.Michael R. Waldmann & York Hagmayer - 2001 - Cognition 82 (1):27-58.
  13. Causal Learning in Rats and Humans: A Minimal Rational Model.Michael R. Waldmann, Patricia W. Cheng, York Hagmeyer & Blaisdell & P. Aaron - 2008 - In Nick Chater & Mike Oaksford (eds.), The Probabilistic Mind: Prospects for Bayesian Cognitive Science. Oxford University Press.
     
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  14.  19
    A Double Causal Contrast Theory of Moral Intuitions in Trolley Dilemmas.Michael R. Waldmann & Alex Wiegmann - 2010 - In S. Ohlsson & R. Catrambone (eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society. Cognitive Science Society. pp. 2589--2594.
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  15.  12
    Causal Learning in Rats and Humans: A Minimal Rational Model.Michael R. Waldmann, Patricia W. Cheng, York Hagmayer & Aaron P. Blaisdell - 2008 - In Nick Chater & Mike Oaksford (eds.), The Probabilistic Mind: Prospects for Bayesian Cognitive Science. Oxford University Press.
  16.  4
    Combining Versus Analyzing Multiple Causes: How Domain Assumptions and Task Context Affect Integration Rules.Michael R. Waldmann - 2007 - Cognitive Science 31 (2):233-256.
  17.  12
    The Special Status of Actions in Causal Reasoning in Rats.Kenneth J. Leising, Jared Wong, Michael R. Waldmann & Aaron P. Blaisdell - 2008 - Journal of Experimental Psychology: General 137 (3):514-527.
  18.  24
    On Having Very Long Arms: How the Availability of Technological Means Affects Moral Cognition.Jonas Nagel & Michael R. Waldmann - 2016 - Thinking and Reasoning 22 (2):184-208.
    ABSTRACTModern technological means allow for meaningful interaction across arbitrary distances, while human morality evolved in environments in which individuals needed to be spatially close in order to interact. We investigate how people integrate knowledge about modern technology with their ancestral moral dispositions to help relieve nearby suffering. Our first study establishes that spatial proximity between an agent's means of helping and the victims increases people's judgement of helping obligations, even if the agent is constantly far personally. We then report and (...)
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  19.  61
    Category Transfer in Sequential Causal Learning: The Unbroken Mechanism Hypothesis.York Hagmayer, Björn Meder, Momme von Sydow & Michael R. Waldmann - 2011 - Cognitive Science 35 (5):842-873.
    The goal of the present set of studies is to explore the boundary conditions of category transfer in causal learning. Previous research has shown that people are capable of inducing categories based on causal learning input, and they often transfer these categories to new causal learning tasks. However, occasionally learners abandon the learned categories and induce new ones. Whereas previously it has been argued that transfer is only observed with essentialist categories in which the hidden properties are causally relevant for (...)
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  20.  9
    Indicators of Causal Agency in Physical Interactions: The Role of the Prior Context.Ralf Mayrhofer & Michael R. Waldmann - 2014 - Cognition 132 (3):485-490.
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  21.  88
    Neurath's Ship: The Constitutive Relation Between Normative and Descriptive Theories of Rationality.Michael R. Waldmann - 2011 - Behavioral and Brain Sciences 34 (5):273-274.
    I defend the claim that in psychological theories concerned with theoretical or practical rationality there is a constitutive relation between normative and descriptive theories: Normative theories provide idealized descriptive accounts of rational agents. However, we need to resist the temptation to collapse descriptive theories with any specific normative theory. I show how a partial separation is possible.
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  22.  9
    Preemption in Singular Causation Judgments: A Computational Model.Simon Stephan & Michael R. Waldmann - 2018 - Topics in Cognitive Science 10 (1):242-257.
    Causal queries about singular cases are ubiquitous, yet the question of how we assess whether a particular outcome was actually caused by a specific potential cause turns out to be difficult to answer. Relying on the causal power framework, Cheng and Novick () proposed a model of causal attribution intended to help answer this question. We challenge this model, both conceptually and empirically. We argue that the central problem of this model is that it treats causal powers that are probabilistically (...)
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  23.  19
    Sufficiency and Necessity Assumptions in Causal Structure Induction.Ralf Mayrhofer & Michael R. Waldmann - 2016 - Cognitive Science 40 (8):2137-2150.
    Research on human causal induction has shown that people have general prior assumptions about causal strength and about how causes interact with the background. We propose that these prior assumptions about the parameters of causal systems do not only manifest themselves in estimations of causal strength or the selection of causes but also when deciding between alternative causal structures. In three experiments, we requested subjects to choose which of two observable variables was the cause and which the effect. We found (...)
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