Cue competition in mental state inference: Blocking effects in learning to interpret the behaviors of others

2021 ◽  
Vol 95 ◽  
pp. 104122
Author(s):  
André Mata ◽  
André Vaz ◽  
Tomás A. Palma
PSYCHOLOGIA ◽  
2006 ◽  
Vol 49 (4) ◽  
pp. 267-277
Author(s):  
Koichiro ITO ◽  
Jiro TAKAI
Keyword(s):  

Author(s):  
Lasana T. Harris

The first chapter states that flexible social cognition—having the ability to engage and not engage in mental state inferences with others—perhaps explains why people are capable of pro and anti-social behaviour. It introduces a classical equation for social behaviour, before suggesting an edit that equation that accounts for social cognition. It then suggests a metaphor to explain how social cognition might be engaged based on the social context. Next, it defines the key terms for the argument surrounding flexible social cognition: flexible and mental state inference as the most fundamental form of social cognition. It reconciles differences in the use of various psychological jargon for various types of social cognition, then defines social groups, explaining their importance to the general theory.


2020 ◽  
Vol 48 (10) ◽  
pp. 1279-1290
Author(s):  
Ruth Roberts ◽  
Eamon McCrory ◽  
Geoffrey Bird ◽  
Molly Sharp ◽  
Linda Roberts ◽  
...  

2015 ◽  
Vol 40 (7-8) ◽  
pp. 379-394 ◽  
Author(s):  
Laura C. Anderson ◽  
Katherine Rice ◽  
Jeffrey Chrabaszcz ◽  
Elizabeth Redcay

2009 ◽  
Vol 3 (1-2) ◽  
pp. 21-31 ◽  
Author(s):  
Abdul Rehman Abbasi ◽  
Matthew N. Dailey ◽  
Nitin V. Afzulpurkar ◽  
Takeaki Uno

2014 ◽  
Vol 15 (3) ◽  
pp. 455-477 ◽  
Author(s):  
Ben Meijering ◽  
Niels A. Taatgen ◽  
Hedderik van Rijn ◽  
Rineke Verbrugge

Behavior oftentimes allows for many possible interpretations in terms of mental states, such as goals, beliefs, desires, and intentions. Reasoning about the relation between behavior and mental states is therefore considered to be an effortful process. We argue that people use simple strategies to deal with high cognitive demands of mental state inference. To test this hypothesis, we developed a computational cognitive model, which was able to simulate previous empirical findings: In two-player games, people apply simple strategies at first. They only start revising their strategies when these do not pay off. The model could simulate these findings by recursively attributing its own problem solving skills to the other player, thus increasing the complexity of its own inferences. The model was validated by means of a comparison with findings from a developmental study in which the children demonstrated similar strategic developments.


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