Results 11 to 20 of about 8,702,475 (256)
Drawing-to-learn: a framework for using drawings to promote model-based reasoning in biology. [PDF]
CBE Life Sci Educ, 2015 The authors offer a framework for drawing-to-learn that defines drawing, categorizes the reasons for using drawing in the biology classroom, and outlines a number of teaching interventions to promote visual model-based reasoning in biology.
Quillin K, Thomas S.
europepmc +2 more sources
Facts and Possibilities: A Model‐Based Theory of Sentential Reasoning [PDF]
Cognitive Sciences, 2018 This article presents a fundamental advance in the theory of mental models as an explanation of reasoning about facts, possibilities, and probabilities.
Sangeet Khemlani +2 more
openalex +2 more sources
Using synthetic data to train neural networks is model-based reasoning [PDF]
IEEE International Joint Conference on Neural Network, 2017 We draw a formal connection between using synthetic training data to optimize neural network parameters and approximate, Bayesian, model-based reasoning.
T. Le +3 more
semanticscholar +1 more source
Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning [PDF]
International Conference on Learning Representations, 2023 Large language models (LLMs) have demonstrated impressive reasoning abilities in complex tasks. However, they lack up-to-date knowledge and experience hallucinations during reasoning, which can lead to incorrect reasoning processes and diminish their ...
Linhao Luo +3 more
semanticscholar +1 more source
Case-based Reasoning for Natural Language Queries over Knowledge Bases [PDF]
Conference on Empirical Methods in Natural Language Processing, 2021 It is often challenging to solve a complex problem from scratch, but much easier if we can access other similar problems with their solutions — a paradigm known as case-based reasoning (CBR).
Rajarshi Das +8 more
semanticscholar +1 more source
Complexity-Based Prompting for Multi-Step Reasoning [PDF]
International Conference on Learning Representations, 2022 We study the task of prompting large-scale language models to perform multi-step reasoning. Existing work shows that when prompted with a chain of thoughts (CoT), sequences of short sentences describing intermediate reasoning steps towards a final answer,
Yao Fu +4 more
semanticscholar +1 more source
Investigating the Role of Model-Based Reasoning While Troubleshooting an Electric Circuit. [PDF]
, 2016 We explore the overlap of two nationally-recognized learning outcomes for physics lab courses, namely, the ability to model experimental systems and the ability to troubleshoot a malfunctioning apparatus.
D. Dounas-Frazer +3 more
semanticscholar +1 more source
Al-Jabar, 2020 The students' mathematical reasoning and mathematical communication abilities are influenced by several factors such as the use of learning models used by teachers in learning.
Arie Purwa Kusuma +2 more
doaj +1 more source
Complexity, 2020 This paper aims to disclose the compound topological and directional relationships of three simple regions in the three-dimensional (3D) space. For this purpose, the directional model and the 8-intersection model were coupled into an R5DOS-intersection ...
Jian Li +3 more
doaj +1 more source
Intelligent Agents Diagnostics—Enhancing Cyber‐Physical Systems with Self‐Diagnostic Capabilities
Advanced Intelligent Systems, 2021 Allowing intelligent agents to deal with unforeseen situations that have not been considered during development in a smart way is a first step for increasing their autonomy.
David Kaufmann, Iulia Nica, Franz Wotawa
doaj +1 more source