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Khemlani, Sangeet S.; Byrne, Ruth M. J.; Johnson-Laird, Philip N. – Cognitive Science, 2018
This article presents a fundamental advance in the theory of mental models as an explanation of reasoning about facts, possibilities, and probabilities. It postulates that the meanings of compound assertions, such as conditionals ("if") and disjunctions ("or"), unlike those in logic, refer to conjunctions of epistemic…
Descriptors: Form Classes (Languages), Schemata (Cognition), Inferences, Prediction
Rafferty, Anna N.; LaMar, Michelle M.; Griffiths, Thomas L. – Cognitive Science, 2015
Watching another person take actions to complete a goal and making inferences about that person's knowledge is a relatively natural task for people. This ability can be especially important in educational settings, where the inferences can be used for assessment, diagnosing misconceptions, and providing informative feedback. In this paper, we…
Descriptors: Inferences, Knowledge Level, Educational Games, Computer Simulation
Moller, Ralf; Schenck, Wolfram – Cognitive Science, 2008
We show that simple perceptual competences can emerge from an internal simulation of action effects and are thus grounded in behavior. A simulated agent learns to distinguish between dead ends and corridors without the necessity to represent these concepts in the sensory domain. Initially, the agent is only endowed with a simple value system and…
Descriptors: Prediction, Schemata (Cognition), Computer Simulation, Models
Salvucci, Dario D. – Cognitive Science, 2005
As cognitive architectures move to account for increasingly complex real-world tasks, one of the most pressing challenges involves understanding and modeling human multitasking. Although a number of existing models now perform multitasking in real-world scenarios, these models typically employ customized executives that schedule tasks for the…
Descriptors: Cognitive Processes, Models, Behavior Patterns, Computer Simulation

LeBlanc, Mark D.; Weber-Russell, Sylvia – Cognitive Science, 1996
A growing body of empirical and theoretical work indicates that young children (grades K-3) have difficulties solving word problems because of deficient language and text comprehension strategies. Describes a computer simulation designed to model working memory demands in "bottom-up" comprehension of arithmetic word problems, offering a…
Descriptors: Children, Cognitive Processes, Computer Simulation, Elementary School Mathematics