Abstract: Accurate fault diagnosis of trolley mechanisms in ship-to-shore cranes is essential for ensuring cargo transportation at ports. While deep neural networks (DNNs) have made some achievements ...

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ESRN aims to bridge neural and symbolic AI by learning local transformation rules that emerge into global reasoning capabilities. Inspired by how simple local rules create complex behaviors in ...

Singapore-based AI startup Sapient Intelligence has developed a new AI architecture that can match, and in some cases vastly outperform, large language models (LLMs) on complex reasoning tasks, all ...

Incomplete data significantly hampers risk analysis for high-sea maritime accidents (HSMAs). This paper introduces a novel multi-source data-driven Bayesian network (DDBN) framework to address this ...

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Abstract: The knowledge graph is a structured knowledge base used to describe concepts, entities, and their interrelationships in the physical world in symbolic form. Compared to large models, ...

CEREBRUM is a unified modeling framework that integrates case-based reasoning with Bayesian representations. It provides a comprehensive suite of tools for developing, testing, and deploying cognitive ...

Cognition and Human Behavior Key Laboratory of Hunan Province, School of Educational Science, Hunan Normal University, Changsha, China While psychological research has established both probability ...