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Mental models and temporal reasoning
Cognition, 1996We report five experiments investigating reasoning based on temporal relations, such as: "John takes a shower before he drinks coffee". How individuals make temporal inferences has not been studied hitherto, but we conjectured that they construct mental models of events, and we developed a computer program that reasons in this way. As the program shows,
W, Schaeken +2 more
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Temporal reasoning: A relativistic model
International Journal of Intelligent Systems, 1991In 1983, Allen presented an ingenious method for the representation and maintenance of temporal information in the presence of imprecise, uncertain, and relative knowledge about time of occurrence. He introduced 13 relations between his primitive “temporal intervals,” providing for the expression of “any relationship which can hold between two ...
Rita V. Rodríguez +2 more
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Visual Specifications for Temporal Reasoning
Journal of Visual Languages & Computing, 1994Abstract Graphical interval logic (GIL) is a visual temporal logic in which formulas resemble the informal timing diagrams familiar to system designers and software engineers. It provides an intuitive and natural visual notation in which to express specifications for concurrent systems and retains the benefits of a formal notation.
Laura K. Dillon +4 more
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Information Sciences, 2019
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Proceedings of the second international conference on Industrial and engineering applications of artificial intelligence and expert systems - IEA/AIE '89, 1989
Anne Koenig, Elisabeth Crochon
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Anne Koenig, Elisabeth Crochon
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Scalable Distributed Temporal Reasoning
2017In this paper, we propose the design and implementation of a large-scale qualitative temporal reasoner, MRQUTER, which can perform reasoning over large Web-scale knowledge bases. This temporal reasoner is built on a Hadoop cluster system using the MapReduce parallel programming framework.
Jonghoon Kim, Incheol Kim
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Video-R1: Reinforcing Video Reasoning in MLLMs
Neural Information Processing SystemsInspired by DeepSeek-R1's success in eliciting reasoning abilities through rule-based reinforcement learning (RL), we introduce Video-R1 as the first attempt to systematically explore the R1 paradigm for incentivizing video reasoning within multimodal ...
Kai-Tuo Feng +7 more
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Temporal representation and reasoning
Data & Knowledge Engineering, 2003Claudio Bettini, Angelo Montanari
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Multi-hop reasoning over paths in temporal knowledge graphs using reinforcement learning
Applied Soft Computing Journal, 2021Luyi Bai, Wenting Yu
exaly
An improving reasoning network for complex question answering over temporal knowledge graphs
Applied Intelligence, 2022Zhenfang Zhu, Wenqing Wu, Zicheng Zuo
exaly

