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Qualitative reasoning and cyber-physical systems: abstraction, modeling, and optimized simulation
Complex systems modeling and simulation are critical in many industrial and research fields, specifically to predict, prove, verify, and understand...
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MTKGR: multi-task knowledge graph reasoning for food and ingredient recognition
Food and ingredient recognition emerges as a pivotal challenge in the domain of computer vision, particularly pertinent to multimedia systems...
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Enhancing adolescent reasoning skills through a video game program
Much research has been done on the benefits of video games in a physical education context (Camunas-Vega & Alcaide-Risoto,
2020 ; Fang et al.,2020 )....
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ViCLEVR: a visual reasoning dataset and hybrid multimodal fusion model for visual question answering in Vietnamese
In recent years, visual question answering (VQA) has gained significant attention for its diverse applications, including intelligent car assistance,...
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A tractable temporal description logic for reasoning fuzzy spatiotemporal knowledge
Fuzzy spatiotemporal reasoning is extensively used in various application fields such as Geographic Information Systems, Geospatial Artificial...
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One-shot relational learning for extrapolation reasoning on temporal knowledge graphs
In recent years, temporal knowledge graph reasoning has been a critical task in natural language processing. Temporal knowledge graphs store temporal...
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Towards combining commonsense reasoning and knowledge acquisition to guide deep learning
Algorithms based on deep network models are being used for many pattern recognition and decision-making tasks in robotics and AI. Training these...
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JSM Reasoning and Knowledge Discovery: Ampliative Reasoning, Causality Recognition, and Three Kinds of Completeness#
AbstractInductive inferences and inferences, by analogy with JSM reasoning, are characterized as ampliative inferences generating new knowledge. New...
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Causal Reasoning over Probabilistic Uncertainty
A system deployed in the real world will need to handle uncertainty in its observations and interventions. For this, we present an approach to...
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Self-evolving reasoning for task-user relationships in mobile crowdsensing via the autonomic knowledge graph
A self-evolving reasoning method for task-user relationships based on the autonomic knowledge graph is proposed for the problem of existing task...
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Hierarchical conversation flow transition and reasoning for conversational machine comprehension
Conversational Machine Comprehension (CMC) is a challenging task with a broad range of applications in natural language processing. Early approaches...
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Instance-sequence reasoning for video question answering
Video question answering (Video QA) involves a thorough understanding of video content and question language, as well as the grounding of the textual...
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Performance evaluation of complex systems based on hierarchical evidential reasoning rule considering disturbances
To prevent adverse consequences for performance deterioration, it is of great importance to evaluate performance promptly and implement precautions...
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Interpretable modular knowledge reasoning for machine reading comprehension
Machine reading comprehension (MRC) is a fundamental task of evaluating the natural language understanding ability of model, which requires...
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Reasoning about responsibility in autonomous systems: challenges and opportunities
Ensuring the trustworthiness of autonomous systems and artificial intelligence is an important interdisciplinary endeavour. In this position paper,...
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Knowledge representation and reasoning using fuzzy Petri nets: a literature review and bibliometric analysis
Fuzzy Petri nets (FPNs) are a powerful modeling tool for the knowledge representation and reasoning of expert systems. During the past decades, a...
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Temporal knowledge graph reasoning triggered by memories
The task of inferring missing facts using the temporal knowledge graph (TKG) is important and has been widely studied. Extrapolation in TKG inference...
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Facial action unit detection via hybrid relational reasoning
Correlations in facial action units (AUs) convey significant information for AU detection yet have not been thoroughly exploited. Most existing...
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Improving indoor visual navigation generalization with scene priors and Markov relational reasoning
The problem of visual navigation is the poor generalization to find the given target object in unexplored environment without the help of auxiliary...
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Qualitative Uncertainty Reasoning in AgentSpeak
This paper presents an extension of AgentSpeak using dynamic epistemic logic (DEL) to reason about uncertainty. The extension relies on minimal...