William Jimenez Leal
My broad area of interest is the study of thinking and reasoning, in all its flavours. In particular, I am interested in understanding the basis of causal cognition and its relation to other cognitive processes, such as decision making. I am currently working on three areas:
The link between causal and counterfactual reasoning: It is intuitively obvious that these concepts are related but it has been challenging to pinpoint their similarities and differences. I believe counterfactual reasoning is a form of causal reasoning in situations where the causal representation of the world can be described with the Bayes Nets framework.
Causal understanding y in natural languages: There are several ways of expressing causal relationships using the repertoire provided by natural languages. However, leading theories of causal judgement and understanding all function under the assumption that natural languages simply reveal deeper principles governing causal cognition. Based on the force dynamics theory, I aim to connect lines of research based on the covariation approach and those that emphasize the role of natural language in causal cognition.
Causal and contingency judgements: I am exploring some of the factors that determine the nature of contingency judgements. I want to identify the nature of contextual and psychological factors that influence contingency judgements. At the moment, I am working on the role of information reliability in causal judgements.
Other interests
Risk perception and decision making: I am currently conducting some studies on risk perception from a psychometric point of view, for the Colombian context.
Phone: Tel: +571 3394949
Address: Universidad de los Andes
Departamento de Psicología
Carrera 1 No 18A 10
Ed Franco
2nd. Floor
Bogotá, D.C.,
Colombia
The link between causal and counterfactual reasoning: It is intuitively obvious that these concepts are related but it has been challenging to pinpoint their similarities and differences. I believe counterfactual reasoning is a form of causal reasoning in situations where the causal representation of the world can be described with the Bayes Nets framework.
Causal understanding y in natural languages: There are several ways of expressing causal relationships using the repertoire provided by natural languages. However, leading theories of causal judgement and understanding all function under the assumption that natural languages simply reveal deeper principles governing causal cognition. Based on the force dynamics theory, I aim to connect lines of research based on the covariation approach and those that emphasize the role of natural language in causal cognition.
Causal and contingency judgements: I am exploring some of the factors that determine the nature of contingency judgements. I want to identify the nature of contextual and psychological factors that influence contingency judgements. At the moment, I am working on the role of information reliability in causal judgements.
Other interests
Risk perception and decision making: I am currently conducting some studies on risk perception from a psychometric point of view, for the Colombian context.
Phone: Tel: +571 3394949
Address: Universidad de los Andes
Departamento de Psicología
Carrera 1 No 18A 10
Ed Franco
2nd. Floor
Bogotá, D.C.,
Colombia
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) y petición de principio ( petitio principii). Se concluye que el razonamiento plausible, como Rescher y Walton lo describen, no proporciona una alternativa sólida a la probabilidad como modelo normativo o descriptivo de la evaluación de argumentos.
) y petición de principio ( petitio principii). Se concluye que el razonamiento plausible, como Rescher y Walton lo describen, no proporciona una alternativa sólida a la probabilidad como modelo normativo o descriptivo de la evaluación de argumentos.