Results 31 to 40 of about 737,979 (348)
Q-Rung Orthopair Fuzzy Petri Nets for Knowledge Representation and Reasoning
IEEE Access, 2023 This paper investigates a novel fuzzy Petri nets (FPNs) method based on q-rung orthopair fuzzy sets (q-ROFSs) to provide an efficient solution to uncertain knowledge representation and reasoning. It not only improves FPN’s flexibility in knowledge
Kaiyuan Bai +3 more
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Research and Development of Medical Knowledge Graph Reasoning [PDF]
Jisuanji kexue yu tansuo, 2022 Knowledge graphs can effectively organize and represent knowledge, which have been applied to many advanced applications, for example, intelligent medicine.
DONG Wenbo, SUN Shiliang, YIN Minzhi
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Visual Representation Construction for Collective Reasoning in Elementary Science Classrooms
Education Sciences, 2021 There has been a recent increase in research interest in the ways that visual representation is used to facilitate students’ understanding in science classrooms.
Hye-Gyoung Yoon, Mijung Kim, Eun Ah Lee
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Foundations of Knowledge Representation and Reasoning
ECAI Workshop on Knowledge Representation and Reasoning, 1994 Foundations of knowledge representation and reasoning.- Collective entities and relations in concept languages.- Computing extensions of terminological default theories.- A formalization of interval-based temporal subsumption in first order logic.- Normative, subjunctive and autoepistemic defaults.- Abductive reasoning with abstraction axioms.- Queries,
G. Lakemeyer, Bernhard Nebel
semanticscholar +3 more sources
Commonsense knowledge representation and reasoning with fuzzy neural networks [PDF]
, 1996 This paper highlights the theory of common-sense knowledge in terms of representation and reasoning. A connectionist model is proposed for common-sense knowledge representation and reasoning.
He, Fangpo, Kouzani, Abbas, Sammut, Karl
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Annual Meeting of the Association for Computational Linguistics, 2023 Recently, knowledge graphs (KGs) have won noteworthy success in commonsense question answering. Existing methods retrieve relevant subgraphs in the KGs through key entities and reason about the answer with language models (LMs) and graph neural networks.
Yujie Wang, Hu Zhang, Jiye Liang, Ru Li
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Temporal Data Modeling and Reasoning for Information Systems [PDF]
, 2006 Temporal knowledge representation and reasoning is a major research field in Artificial Intelligence, in Database Systems, and in Web and Semantic Web research.
Bry, François, Spranger, Stephanie
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Qualitative Mechanical Problem-Solving by Artificial Agents:
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2022 Qualitative mechanical problem-solving (QMPS) is central to human-level intelligence. Human agents use their capacity for such problem-solving to succeed in tasks as routine as opening the tap to drink or hanging a picture on the wall, as well as for ...
Shreya Banerjee +3 more
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Research on knowledge reasoning of TCM based on knowledge graphs
Digital Chinese Medicine, 2022 With the widespread use of Internet, the amount of data in the field of traditional Chinese medicine (TCM) is growing exponentially. Consequently, there is much attention on the collection of useful knowledge as well as its effective organization and ...
G.U.O. Zhiheng +2 more
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An Approach to Task Representation Based on Object Features and Affordances
Sensors, 2022 Multi-purpose service robots must execute their tasks reliably in different situations, as well as learn from humans and explain their plans to them.
Paul Gajewski, Bipin Indurkhya
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