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Case-based reasoning (CBR) is both a problem-solving methodology and a theory of reasoning and memory that is based on how humans reason from experience.
This distinction provides a theoretically founded formulation of a dual-process theory of reasoning.
The question is that, very often by the past, when people presented a theory of reasoning, one of the main tests for this theory was the developmental test.
A case study of multimodal systems and a new interpretation of Charles S. Peirce's theory of reasoning and signs based on an analysis of his system of Existential Graphs.
The idea, labeled the argumentative theory of reasoning, is the brainchild of French cognitive social scientists, and it has stirred excited discussion (and appalled dissent) among philosophers, political scientists, educators and psychologists, some of whom say it offers profound insight into the way people think and behave.
In this case, the operator is a trusted source, so Dempster (who, along with its counterpart Shafer, is named, fittingly, for a theory of reasoning with uncertainty) acts on that information, walking straight through the cardboard wall.
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The methodology is based on recent developments in theories of reasoning about action and change and in logic programming.
Possible topics include methodological issues in the cognitive sciences; the nature of theories of reasoning, perception, memory, and language; and the philosophical implications of such theories.
The first is that traditional theories of reasoning, like mental logic or mental models, are rooted on formal logic and the idea that reasoning is a process of deductions are true.
The paper proposes a novel cognitive architecture (CA) for computational creativity based on the Psi model and on the mechanisms inspired by dual process theories of reasoning and rationality.
The leading approaches provide solutions to the main problems mentioned in Section 4.5, and to many of the scenarios designed to test and illustrate theories of reasoning about action and change.
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