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Modelling reasoning processes in natural agents: a partial-worlds-based logical framework for elemental non-monotonic inferences and learning

机译：在自然主体中建模推理过程：基于局部世界的逻辑框架，用于元素非单调推理和学习

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International audience

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Grimaud, Christel;
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年度 2016
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1. Modelling reasoning processes in natural agents: a partial-worlds-based logical framework for elemental non-monotonic inferences and learning [J] . Christel Grimaud Journal of applied non-classical logics . 2016,第4期

机译：在自然主体中建模推理过程：基于局部世界的逻辑框架，用于元素非单调推理和学习
2. Multi-Agent Logic’s Modelling Non-Monotonic Information and Reasoning [J] . Vladimir V. Rybakov Procedia Computer Science . 2020,第5期

机译：多代理逻辑的建模非单调信息和推理
3. Non-Monotonic Reasoning from an Evolution-Theoretic Perspective: Ontic, Logical and Cognitive Foundations [J] . Gerhard Schurz Synthese . 2005,第1a2期

机译：进化论视角下的非单调推理：本体论，逻辑学和认知学基础
4. Integrating Deep Learning and Non-monotonic Logical Reasoning for Explainable Visual Question Answering [C] . Mohan Sridharan, Heather Riley European Conference on Multi-Agent Systems;International Conference on Agreement Technologies . 2020

机译：深入学习和非单调逻辑推理，可解释可解释的视觉问题
5. Mathematical Modeling of Cancer-Immune Interactions: Agent-Based and Continuous Modeling Reveal Novel, Non-Monotonic Patterns [D] . Bergman, Daniel Roy. 2020

机译：癌症免疫相互作用的数学建模：基于药剂和连续建模揭示新颖，非单调模式
6. An Integrated World Modeling Theory (IWMT) of Consciousness: Combining Integrated Information and Global Neuronal Workspace Theories With the Free Energy Principle and Active Inference Framework; Toward Solving the Hard Problem and Characterizing Agentic Causation [O] . Adam Safron 2020

机译：一种综合世界建模理论（IWMT）的意识：将综合信息和全球神经元工作空间理论与自由能原理和有源推断框架相结合;解决难题和表征患者的因果关系
7. Modelling reasoning processes in natural agents: a partial-worlds-based logical framework for elemental non-monotonic inferences and learning [O] . Grimaud, Christel 2016

机译：在自然主体中建模推理过程：基于局部世界的逻辑框架，用于元素非单调推理和学习
8. Non-Monotonic Systems: A Framework for Analyzing Semantics and StructuralProperties of Non-Monotonic Reasoning [R] . Janhunen, T. 1998

机译：非单调系统：分析非单调推理的语义和结构性质的框架

Modelling reasoning processes in natural agents: a partial-worlds-based logical framework for elemental non-monotonic inferences and learning

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