Conditional Reasoning

2019 ◽  
pp. 29-63
Author(s):  
Jonathan St. B. T. Evans ◽  
Stephen E. Newstead ◽  
Ruth M. J. Byrne
1990 ◽  
Author(s):  
Henry Markovits ◽  
Robert Vachon

2015 ◽  
pp. 33
Author(s):  
Miguel López Astorga

RESUMENEn este trabajo, analizamos un experimento sobre el razonamiento condicional de Staller, Sloman y Ben-Zeev (2000). En dicho experimento, los sujetos parecen manifestar un comportamiento contrario a las prescripciones de la lógica formal. Nosotros lo revisamosy descubrimos todas las variables que es preciso atender en los procesos de enseñanza y aprendizaje, variables que no siempre son consideradas por los docentes.Palabras clave: condicional, conocimiento general, inferencia, procesamiento de la información, representación mental.DO WE REASON ACCORDING TO OUR GENERALKNOWLEDGE? A STUDY ABOUT INTERACTIONSBETWEEN INFORMATION PROCESSING AND LOGICALINFERENCEABSTRACTIn this paper, I analyze an experiment about conditional reasoning presented by Staller,Sloman and Ben-Zeev (2000). In that experiment, the subjects’ behavior seems contradictory to prescriptions of formal logic. I check it and I discover all the variables that we need to deal with them in teaching and learning processes, despite that such variables are notalways checked by the teachers.Keywords: conditional, general knowledge, inference, information processing, mentalrepresentation.


2021 ◽  
Author(s):  
James M. LeBreton ◽  
Sydney L. Reichin ◽  
Jan te Nijenhuis ◽  
Myckel Cremers ◽  
Kitty Heijden‐Lek

2021 ◽  
Vol 20 (2) ◽  
pp. 84-96
Author(s):  
Mitja Ružojčić ◽  
Zvonimir Galić ◽  
Antun Palanović ◽  
Maja Parmač Kovačić ◽  
Andreja Bubić

Abstract. To better understand the process of responding to the Conditional Reasoning Test for Aggression (CRT-A) and its implication for the test's use in personnel selection, we conducted two lab studies in which we compared test scores and eye movements of participants responding honestly and faking the test. Study 1 results showed that, although participants might try to respond differently to the CRT-A while faking, it remains an indirect and unfakeable measure as long as the test's purpose is undisclosed. Study 2 showed that revealing the true purpose of the CRT-A diminishes the test's indirect nature so the test becomes fakeable, solving it requires less attention and participants direct their eyes more to response alternatives congruent with the presentational demands.


Author(s):  
Mike Oaksford ◽  
Nick Chater

There are deep intuitions that the meaning of conditional statements relate to probabilistic law-like dependencies. In this chapter it is argued that these intuitions can be captured by representing conditionals in causal Bayes nets (CBNs) and that this conjecture is theoretically productive. This proposal is borne out in a variety of results. First, causal considerations can provide a unified account of abstract and causal conditional reasoning. Second, a recent model (Fernbach & Erb, 2013) can be extended to the explicit causal conditional reasoning paradigm (Byrne, 1989), making some novel predictions on the way. Third, when embedded in the broader cognitive system involved in reasoning, causal model theory can provide a novel explanation for apparent violations of the Markov condition in causal conditional reasoning (Ali et al, 2011). Alternative explanations are also considered (see, Rehder, 2014a) with respect to this evidence. While further work is required, the chapter concludes that the conjecture that conditional reasoning is underpinned by representations and processes similar to CBNs is indeed a productive line of research.


2005 ◽  
Vol 8 (1) ◽  
pp. 69-99 ◽  
Author(s):  
Lawrence R. James ◽  
Michael D. McIntyre ◽  
Charles A. Glisson ◽  
Phillip D. Green ◽  
Timothy W. Patton ◽  
...  

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