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Approximate reasoning with aggregation functions satisfying GMP rules
To strengthen the effectiveness of approximate reasoning in fuzzy modus ponens (FMP) and fuzzy modus tollens (FMT) problems, three approximate...
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Approximate Reasoning
Approximate reasoningApproximate Reasoning ReasoningApproximate is based on the idea of sacrificing soundness or completeness for a better...
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Revisiting Approximate Reasoning Based on Grounded Semantics
Efficient computation of hard reasoning tasks is a key issue in abstract argumentation. One recent approach consists in defining approximate...
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Argumentation-based multi-agent distributed reasoning in dynamic and open environments
This work presents an approach for distributed and contextualized reasoning in multi-agent systems, considering environments in which agents may have...
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Approximate reasoning with fuzzy rule interpolation: background and recent advances
Approximate reasoning systems facilitate fuzzy inference through activating fuzzy if–then rules in which attribute values are imprecisely described....
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Framework of Approximate Knowledge Interpolation
Fuzzy interpolative reasoning plays an important role in fuzzy rule-based inference systems, facilitating the extension of the capability of...
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Weighted Fuzzy Interpolative Reasoning
Unlike classical rule-based inference that performs direct pattern matching between observations and the given rules, fuzzy rule interpolation (FRI)...
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GPU-Based Graph Matching for Accelerating Similarity Assessment in Process-Oriented Case-Based Reasoning
In Process-Oriented Case-Based Reasoning (POCBR), determining the similarity between cases represented as semantic graphs often requires some kind of...
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Large-Scale Commonsense Knowledge for Default Logic Reasoning
Commonsense reasoning (CSR) is the ability to reason about everyday situations. In artificial intelligence systems, such reasoning requires extensive...
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Principal relation component reasoning-enhanced social relation recognition
AbstractSocial relationships (SRs) are the basis of human life. Hence, the ability to accurately recognize interpersonal relations in public spaces...
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On Ruspini’s Models of Similarity-Based Approximate Reasoning
In his 1991 seminal paper, Enrique H. Ruspini proposed a similarity-based semantics for fuzzy sets and approximate reasoning which has been...
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A Case-Based Reasoning and Explaining Model for Temporal Point Process
Event sequence data widely exists in real life, where each event can be typically represented as a tuple, event type and occurrence time. Combined...
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Graph convolution detection method of transmission line fitting based on orientation reasoning
To address object occlusion resulting from the density of multiple fittings in transmission lines, a novel graph convolution detection method based...
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Path-based approximate matching of fuzzy spatiotemporal RDF data
As fuzzy spatiotemporal information continuously increases in RDF database, it is challenging to model and query fuzzy spatiotemporal RDF data...
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Learning to Classify Logical Formulas Based on Their Semantic Similarity
An important task in logic, given a formula and a knowledge base which represents what an agent knows of the current state of the world, is to be...
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Plausible reasoning and knowledge extraction in Cognitive IoT
One central area of current Internet of Things (IoT) research is develo** methods for objects to sense their environment autonomously and then link...
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Quantum case-based reasoning (qCBR)
Case-Based Reasoning (CBR) is an artificial intelligence approach to problem-solving with a good record of success. This article proposes using...
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Learning Guided Automated Reasoning: A Brief Survey
Automated theorem provers and formal proof assistants are general reasoning systems that are in theory capable of proving arbitrarily hard theorems,...
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Causal Reasoning Meets Visual Representation Learning: A Prospective Study
Visual representation learning is ubiquitous in various real-world applications, including visual comprehension, video understanding, multi-modal...
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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...
