Results 21 to 30 of about 1,021,862 (272)
Reasoning about causality in games
Artificial Intelligence, 2023 Published in Artificial Intelligence (2023)
Lewis Hammond +5 more
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The effect of using different computational system modeling approaches on applying systems thinking
Frontiers in Education, 2023 This paper discusses the potential of two computational modeling approaches in moving students from simple linear causal reasoning to applying more complex aspects of systems thinking (ST) in explanations of scientific phenomena.
Emil Eidin +4 more
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Delay and knowledge mediation in human causal reasoning [PDF]
, 2002 Contemporary theories of causal induction have focussed largely on the question of how evidence in the form of covariations between causes and effects is used to compute measures of causal strength.
Buehner, Marc
core +5 more sources
Causal reasoning in epidemiology: Philosophy and logic
Global Epidemiology, 2020 This commentary adds to a lively discussion of causal modeling, reasoning and inference in the recent epidemiologic literature. We focus on fundamental philosophical and logical principles of causal reasoning in epidemiology, raising important points not
George Maldonado, Louis Anthony Cox
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Categorization as causal reasoning [PDF]
Cognitive Science, 2003 AbstractA theory of categorization is presented in which knowledge of causal relationships between category features is represented in terms of asymmetric and probabilistic causal mechanisms. According to causal‐model theory, objects are classified as category members to the extent they are likely to have been generated or produced by those mechanisms.
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Probabilistic causal reasoning under time pressure
, 2022 Causal reasoning is a core facet of our cognitive abilities. However, the time-course of causal reasoning is not studied to its fullest. The duration of reasoning, including those that yield a reasoning error, might prove crucial in understanding the ...
Ivar Kolvoort +4 more
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The Broad Reach of Multivariable Thinking
Informal Logic, 2023 Simple explanations are very often inadequate and can encourage faulty inferences. We examined college students’ explanations regarding illegal immigration to determine the prevalence of single-factor explanations. The form of students’ explanations was
Deanna Kuhn, Anahid Modrek
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Probabilistic Causal Reasoning
CoRR, 2013 Predicting the future is an important component of decision making. In most situations, however, there is not enough information to make accurate predictions. In this paper, we develop a theory of causal reasoning for predictive inference under uncertainty.
Thomas L. Dean, Keiji Kanazawa
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Reasoning with Expectations About Causal Relations
Studies in Logic, Grammar and Rhetoric, 2022 Reasoning is not just following logical rules, but a large part of human reasoning depends on our expectations about the world. To some extent, non-monotonic logic has been developed to account for the role of expectations.
Gärdenfors Peter
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Reasoning with Plausible Causal Knowledge
, 2021 This dissertation initiates a new direction in causal non-monotonic reasoning. We begin by reviewing commonly proposed and adopted principles of causal non-monotonic reasoning, and determine their suitability for characterising causal non-monotonic ...
Marchisella, Patrick
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