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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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. For first-order logic we touch upon resolution-based methods, tableaux-based methods, DPLL-inspired methods, and we give a preview of a new method called SGGS,
BONACINA, Maria Paola +2 more
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Model-based diagnostics and probabilistic assumption-based reasoning
Artificial Intelligence, 1998 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
J. Kohlas +3 more
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A Semi-Supervised Paraphrase Identification Model Based on Multi-Granularity Interaction Reasoning [PDF]
IEEE Access, 2020 Conventional paraphrase identification (PI) models based on deep learning usually focus on text representation and ignore the mining and matching of multi-granular interaction features.
Xu Li, Fanxu Zeng, Chunlong Yao
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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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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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A Qualitative Acceleration Model Based on Intervals
Advances in Distributed Computing and Artificial Intelligence Journal, 2013 On the way to autonomous service robots, spatial reasoning plays a main role since it properly deals with problems involving uncertainty. In particular, we are interested in knowing people's pose to avoid collisions.
Angel P. DEL POBIL +2 more
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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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Modeling as Scientific Reasoning—The Role of Abductive Reasoning for Modeling Competence
Education Sciences, 2021 While the hypothetico-deductive approach, which includes inductive and deductive reasoning, is largely recognized in scientific reasoning, there is not much focus on abductive reasoning.
Annette Upmeier zu Belzen +2 more
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