Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 1 |
Since 2006 (last 20 years) | 5 |
Descriptor
Causal Models | 6 |
Decision Making | 6 |
Probability | 6 |
Classification | 3 |
Undergraduate Students | 3 |
Bayesian Statistics | 2 |
College Students | 2 |
Evaluation Methods | 2 |
Foreign Countries | 2 |
Inferences | 2 |
Intervention | 2 |
More ▼ |
Source
Cognitive Psychology | 1 |
Cognitive Science | 1 |
International Association for… | 1 |
Journal of Education for… | 1 |
Journal of Experimental… | 1 |
Journal of Experimental… | 1 |
Author
Publication Type
Journal Articles | 5 |
Reports - Research | 4 |
Collected Works - Proceedings | 1 |
Reports - Descriptive | 1 |
Education Level
Higher Education | 3 |
Postsecondary Education | 2 |
Elementary Secondary Education | 1 |
Audience
Location
Germany | 2 |
Asia | 1 |
Australia | 1 |
Brazil | 1 |
Connecticut | 1 |
Denmark | 1 |
Egypt | 1 |
Estonia | 1 |
Florida | 1 |
Greece | 1 |
Hawaii | 1 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Marchant, Nicolás; Quillien, Tadeg; Chaigneau, Sergio E. – Cognitive Science, 2023
The causal view of categories assumes that categories are represented by features and their causal relations. To study the effect of causal knowledge on categorization, researchers have used Bayesian causal models. Within that framework, categorization may be viewed as dependent on a likelihood computation (i.e., the likelihood of an exemplar with…
Descriptors: Classification, Bayesian Statistics, Causal Models, Evaluation Methods
Rehder, Bob – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2015
Two experiments tested how the "functional form" of the causal relations that link features of categories affects category-based inferences. Whereas "independent causes" can each bring about an effect by themselves, "conjunctive causes" all need to be present for an effect to occur. The causal model view of category…
Descriptors: Role, Classification, Causal Models, Inferences
Hagmayer, York; Sloman, Steven A. – Journal of Experimental Psychology: General, 2009
Causal considerations must be relevant for those making decisions. Whether to bring an umbrella or leave it at home depends on the causal consequences of these options. However, most current decision theories do not address causal reasoning. Here, the authors propose a causal model theory of choice based on causal Bayes nets. The critical ideas…
Descriptors: Causal Models, Inferences, Decision Making, Intervention
Over, David E.; Hadjichristidis, Constantinos; Evans, Jonathan St. B. T.; Handley, Simon J.; Sloman, Steven A. – Cognitive Psychology, 2007
Conditionals in natural language are central to reasoning and decision making. A theoretical proposal called the Ramsey test implies the conditional probability hypothesis: that the subjective probability of a natural language conditional, P(if p then q), is the conditional subjective probability, P(q [such that] p). We report three experiments on…
Descriptors: Probability, Decision Making, Predictor Variables, Hypothesis Testing
Carilli, Anthony M.; Dempster, Gregory M. – Journal of Education for Business, 2003
The treatment of uncertainty in the business classroom has been dominated by the application of risk theory to the utility-maximization framework. Nonetheless, the relevance of the standard risk model as a positive description of economic decision making often has been called into question in theoretical work. In this article, the authors offer an…
Descriptors: Undergraduate Students, Probability, Economics, Decision Making
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers