An Agentic LLM Framework for Autonomous Surgical Continuum Monitoring: ReAct-Driven Tool-Use Agents for Presurgical, Intraoperative, and Postsurgical Cardiopulmonary Care [PDF]
BioengineeringBackground: Rule-based multi-agent system (MAS) architectures for healthcare coordination rely on hardcoded decision trees that cannot generalise to novel clinical scenarios or self-correct reasoning errors.
Charalampia Pylarinou +11 more
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Rule-based stream reasoning [PDF]
, 2019 In recent years, there has been an increasing interest in extending stream processing engines with rule-based temporal reasoning capabilities. To ensure correctness, such systems must be able to output results over the partial data received so far as if the entire (infinite) stream had been available; furthermore, these results must be streamed out as ...
Ronca, Alessandro
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Towards an efficient rule-based framework for legal reasoning
, 2021 A rule based knowledge system consists of three main components: a set of rules, facts to be fed to the reasoning corresponding to the data of a case, and an inference engine.
Governatori, G, Islam, B, Liu, Q
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A simple fuzzy rule-based system through vector membership and kernel-based granulation. [PDF]
, 2010 It is widely recognized that the human reasoning can be approximated by fuzzy rule-based (FRB) systems which can be seen as one of the basic frameworks for representation of intelligent systems.
Angelov, Plamen, Yager, Ronald
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Deep Learning-Based Reasoning With Multi-Ontology for IoT Applications
IEEE Access, 2019 In the era of mobile big data, data driven intelligent Internet of Things (IoT) applications are becoming widespread, and knowledge-based reasoning is one of the essential tasks of these applications.
Jin Liu +4 more
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Reliable knowledge graph fact prediction via reinforcement learning
Visual Computing for Industry, Biomedicine, and Art, 2023 Knowledge graph (KG) fact prediction aims to complete a KG by determining the truthfulness of predicted triples. Reinforcement learning (RL)-based approaches have been widely used for fact prediction.
Fangfang Zhou +7 more
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Journal of Intelligence, 2022 Research on dual-process theories of judgment makes abundant use of reasoning problems that present a conflict between Type 1 intuitive responses and Type 2 rule-based responses.
Mário B. Ferreira +4 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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PARE: Profile-Applied Reasoning Engine for Context-Aware System
International Journal of Distributed Sensor Networks, 2016 Context reasoning is an important issue for a context-aware system. Generally, context reasoning is adopted to deduce new context based on the available contexts.
M. Robiul Hoque +3 more
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Rule-Based Reasoning in Dynamic Knowledge Transformer-based Intrusion Detection System for Autonomous Vehicles [PDF]
ITM Web of ConferencesIn recent years, Autonomous vehicles (AVs) require robust reasoning mechanisms to ensure safety and efficiency dynamic traffic environments. However, existing Hybrid Intrusion Detection System using Deep Reinforcement Learning (HIDS-DRL) model limited by
Khanagoudar Parutagouda S. +4 more
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