Model-Based Reasoning in Humans Becomes Automatic with Training. [PDF]
PLoS Computational Biology, 2015 Model-based and model-free reinforcement learning (RL) have been suggested as algorithmic realizations of goal-directed and habitual action strategies. Model-based RL is more flexible than model-free but requires sophisticated calculations using a learnt
Marcos Economides +4 more
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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.
Kim J. Quillin, Stephen Thomas
semanticscholar +2 more sources
Fault Diagnosis Reasoning Algorithm Based on Multi-signal Model [PDF]
MATEC Web of Conferences, 2018 The multi-signal model is modeled in the fault space and combines the structural model and the dependent model of the system. The modeling work is easy to implement in different layers and is very suitable for fault modeling and fault diagnosis of the ...
Li-jia LIU, Jian-wang HU, Hui-xian SUN
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On First-Order Model-Based Reasoning [PDF]
Logic, Rewriting, and Concurrency, 2015 Reasoning semantically in first-order logic is notoriously a challenge. This paper surveys a selection of semantically-guided or model-based methods that aim at meeting aspects of this challenge.
M. P. Bonacina +2 more
semanticscholar +5 more sources
Model-based reasoning: troubleshooting [PDF]
, 1988 Randall Davis, W. Hamscher
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Characterization inference based on joint-optimization of multi-layer semantics and deep fusion matching network [PDF]
PeerJ Computer Science, 2022 The whole sentence representation reasoning process simultaneously comprises a sentence representation module and a semantic reasoning module. This paper combines the multi-layer semantic representation network with the deep fusion matching network to ...
Wenfeng Zheng, Lirong Yin
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Model-Based Reasoning in the Deductive Laboratory Work with Arduino and Sensor Module
Berkala Ilmiah Pendidikan Fisika, 2021 Laboratory work that has been applied so far is more dominant in deductive laboratory work, but this type of laboratory work is not optimal in stimulating students' reasoning ability.
Soka Hadiati +3 more
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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
Fine-grained Semantic Reasoning Based Cross-media Dual-way Adversarial Hashing Learning Model [PDF]
Jisuanji kexue, 2022 Cross-media hashing has received extensive attention in cross-media searching tasks due to its superior searching efficiency and low storage cost.However,existing methods cannot adequately preserve the high-level semantic relevance and multi-label of ...
CAO Xiao-wen, LIANG Mei-yu, LU Kang-kang
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Learning to Reason on Tree Structures for Knowledge-Based Visual Question Answering
Sensors, 2022 Collaborative reasoning for knowledge-based visual question answering is challenging but vital and efficient in understanding the features of the images and questions.
Qifeng Li, Xinyi Tang, Yi Jian
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