[ad_1] Introduction: Answer set programming (ASP) is a declarative programming paradigm that has gained popularity in recent years for solving complex computational problems. Unlike traditional imperative programming languages, ASP allows users to specify the desired…
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[ad_1] Introduction Probabilistic logic programming is a powerful framework that combines the expressiveness of logic programming with the ability to reason under uncertainty. This approach has been widely used in various fields such as artificial…
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[ad_1] Introduction Counterfactual reasoning is a powerful cognitive tool that allows individuals to explore hypothetical scenarios and analyze the outcomes that could have occurred under different circumstances. In the field of decision making and policy…
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[ad_1] Introduction Causal inference is a crucial aspect of research that helps us understand the relationships between variables and determine cause-and-effect relationships. By identifying the causal relationships between variables, researchers can make informed decisions and…
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[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 Knowledge base completion is a fundamental task in the field of knowledge representation and reasoning. It aims to automatically infer missing facts in a knowledge base by leveraging existing knowledge and relationships. The…
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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 Ontology learning is a crucial aspect of knowledge engineering that involves the automatic extraction of domain-specific knowledge from unstructured text or data. It plays a vital role in the development of domain models,…
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