Switch to: References

Citations of:

Cause and intent: Social reasoning in causal learning

In N. A. Taatgen & H. van Rijn (eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society. pp. 2759--2764 (2009)

Add citations

You must login to add citations.
  1. Knowledge and Implicature: Modeling Language Understanding as Social Cognition.Noah D. Goodman & Andreas Stuhlmüller - 2013 - Topics in Cognitive Science 5 (1):173-184.
    Is language understanding a special case of social cognition? To help evaluate this view, we can formalize it as the rational speech-act theory: Listeners assume that speakers choose their utterances approximately optimally, and listeners interpret an utterance by using Bayesian inference to “invert” this model of the speaker. We apply this framework to model scalar implicature (“some” implies “not all,” and “N” implies “not more than N”). This model predicts an interaction between the speaker's knowledge state and the listener's interpretation. (...)
    Download  
     
    Export citation  
     
    Bookmark   52 citations  
  • From colliding billiard balls to colluding desperate housewives: causal Bayes nets as rational models of everyday causal reasoning.York Hagmayer & Magda Osman - 2012 - Synthese 189 (S1):17-28.
    Many of our decisions pertain to causal systems. Nevertheless, only recently has it been claimed that people use causal models when making judgments, decisions and predictions, and that causal Bayes nets allow us to formally describe these inferences. Experimental research has been limited to simple, artificial problems, which are unrepresentative of the complex dynamic systems we successfully deal with in everyday life. For instance, in social interactions, we can explain the actions of other's on the fly and we can generalize (...)
    Download  
     
    Export citation  
     
    Bookmark   3 citations  
  • Self-evaluation of decision-making: A general Bayesian framework for metacognitive computation.Stephen M. Fleming & Nathaniel D. Daw - 2017 - Psychological Review 124 (1):91-114.
    Download  
     
    Export citation  
     
    Bookmark   41 citations  
  • The Oxford Handbook of Causal Reasoning.Michael Waldmann (ed.) - 2017 - Oxford, England: Oxford University Press.
    Causal reasoning is one of our most central cognitive competencies, enabling us to adapt to our world. Causal knowledge allows us to predict future events, or diagnose the causes of observed facts. We plan actions and solve problems using knowledge about cause-effect relations. Without our ability to discover and empirically test causal theories, we would not have made progress in various empirical sciences. In the past decades, the important role of causal knowledge has been discovered in many areas of cognitive (...)
    Download  
     
    Export citation  
     
    Bookmark   8 citations  
  • Affective cognition: Exploring lay theories of emotion.Desmond C. Ong, Jamil Zaki & Noah D. Goodman - 2015 - Cognition 143 (C):141-162.
    Download  
     
    Export citation  
     
    Bookmark   11 citations  
  • The double-edged sword of pedagogy: Instruction limits spontaneous exploration and discovery.Elizabeth Bonawitz, Patrick Shafto, Hyowon Gweon, Noah D. Goodman, Elizabeth Spelke & Laura Schulz - 2011 - Cognition 120 (3):322-330.
    Download  
     
    Export citation  
     
    Bookmark   62 citations  
  • A decision network account of reasoning about other people’s choices.Alan Jern & Charles Kemp - 2015 - Cognition 142 (C):12-38.
    Download  
     
    Export citation  
     
    Bookmark   7 citations