[ad_1] Introduction Analogical reasoning has been recognized as a powerful cognitive process that enables individuals to transfer knowledge from one domain to another. This mechanism allows us to draw parallels between similar situations and apply…
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[ad_1] Introduction Commonsense reasoning is a fundamental aspect of human cognition that allows individuals to make inferences, draw conclusions, and navigate the complexities of everyday life based on a set of shared beliefs and assumptions.…
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[ad_1] Introduction: In recent years, Knowledge base question answering has become an essential tool for retrieving information from large scale databases. With the increasing amount of data available on the internet, traditional keyword-based search engines…
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[ad_1] Introduction In the era of big data, one of the major challenges faced by researchers and organizations is the interoperability of knowledge across different domains and systems. Linked data has emerged as a powerful…
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[ad_1] Introduction Semantic web technology has emerged as a promising solution for organizing and extracting knowledge from the vast amount of information available on the internet. By using standardized metadata and ontologies, the semantic web…
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[ad_1] Introduction Neuroevolution is a computational method that combines the principles of artificial neural networks and evolutionary algorithms to enable learning and optimization in complex systems. By leveraging the adaptability of neural networks and the…
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[ad_1] Introduction In recent years, the field of artificial intelligence has seen significant advancements, particularly in the area of neural networks. Neural networks are computational models inspired by the human brain that have the ability…
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[ad_1] Introduction Modular neural networks have been gaining attention in recent years due to their ability to enhance compositionality in neural networks. Compositionality refers to the capacity of a system to combine simpler components to…
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[ad_1] Introduction Continual learning is a key concept in the field of artificial intelligence and machine learning, emphasizing the ability of a system to adapt and learn continuously from new data and experiences in order…
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[ad_1] Introduction In recent years, there has been a growing interest in neuromorphic computing, a field that seeks to imitate the structure and functionality of the human brain in developing computer architectures. Inspired by the…
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