Results 201 to 210 of about 8,702,475 (256)

Model-Based Reasoning

2017
Model-based reasoning consists of cycles of proposing, instantiating, checking, revising to find an apt model for a given purpose in a given situation, and reasoning about the situation through the model. Results from cognitive research can help us understand and assess both the experiential and reflective aspects of model-based reasoning. This chapter
Cindy Ziker, Geneva Haertel, Daisy Rutstein, Michelle Riconscente, Robert J. Mislevy   +4 more
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Model-Based Reasoning in Scientific Discovery

Springer US, 1999
Models, Mental Models, and Representations. Model-Based Reasoning in Conceptual Change N.J. Nersessian. Tracing the Development of Models in the Philosophy of Science D.M. Bailer-Jones. Using Models to Represent Reality R.N. Giere. Models and Diagrams within the Cognitive Field K.J. Knoespel. Theories, Models, and Representations M. Suarez.
Lorenzo Magnani, Nancy J. Nersessian, Paul Thagard   +2 more
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Model-Based Reasoning in Conceptual Change

1999
This paper addresses how specific modeling practices employed by scientists are productive methods of conceptual change in science. Within philosophy, where the identification of reasoning with argument and logic is deeply ingrained, these practices have not traditionally been considered significant forms of scientific reasoning.
N. Nersessian
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Model-Based Reasoning

The Handbook of Applied Expert Systems, 2019
R. Fjellheim
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A Case-Based Reasoning Model for Depression Based on Three-Electrode EEG Data

IEEE Transactions on Affective Computing, 2020
Depression, threatening the well-being of millions, has become one of the major diseases in the past decade. However, the current method of diagnosing depression is questionnaire-based interviews, which is labor-intensive and highly dependent on doctors’
Hanshu Cai, Xiangzi Zhang, Yanhao Zhang, Ziyang Wang, Bin Hu   +4 more
semanticscholar   +1 more source

Developing Model‐Based Reasoning

Interactive Learning Environments, 1994
Key elements of the structure and function of models in mathematics and science are identified. These elements are used as a basis for discussing the development of model‐based reasoning. A microgenetic study examines the beginnings of model‐based reasoning in a pair of fourth‐ and fifth‐grade children who solved several problems about chance and ...
Leona Schauble, Jeffrey Horvath, Richard Lehrer   +2 more
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Model Based Temporal Reasoning

SPIE Proceedings, 1988
Systems that assess the real world must cope with evidence that is uncertain, ambiguous, and spread over time. Typically, the most important function of an assessment system is to identify when activities are occurring that are unusual or unanticipated. Model based temporal reasoning addresses both of these requirements.
Paul R. Spinrad, Thomas C. Fall, Marla J. Rabin   +2 more
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A Reasoning Model Based on the Production of Acceptable Arguments

Annals of Mathematics and Artificial Intelligence, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Amgoud, Leila, Cayrol, Claudette
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Applications of qualitative model-based reasoning

Control Engineering Practice, 1993
Abstract This paper provides an introduction to the concepts behind both model-based reasoning and qualitative reasoning. The aim is to show how qualitative methods can be used to build powerful model-based reasoning systems. Different classes of models are discussed and a number of approaches to qualitative reasoning are introduced.
Mark Lee, C.J. Price, J.E. Hunt
openaire   +2 more sources

CBR-RAG: Case-Based Reasoning for Retrieval Augmented Generation in LLMs for Legal Question Answering

International Conference on Case-Based Reasoning
Retrieval-Augmented Generation (RAG) enhances Large Language Model (LLM) output by providing prior knowledge as context to input. This is beneficial for knowledge-intensive and expert reliant tasks, including legal question-answering, which require ...
N. Wiratunga, Ramitha Abeyratne, Lasal Jayawardena, Kyle Martin, Stewart Massie, Ikechukwu Nkisi-Orji, R. Weerasinghe, A. Liret, Bruno Fleisch   +8 more
semanticscholar   +1 more source