[ad_1] Introduction Model checking is a formal verification technique that has gained significant popularity in recent years for verifying the correctness of systems. It involves the automatic verification of system properties against a formal model…
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[ad_1] Introduction Constraint programming is a powerful paradigm for solving complex combinatorial problems by representing problem constraints as logical assertions over variables. This approach is widely used in various fields such as scheduling, planning, resource…
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[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 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 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 graphs have emerged as a powerful tool for representing structured knowledge in a variety of domains. These graphs provide a flexible and scalable way to capture relationships between entities and concepts, making…
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[ad_1] Introduction: Recurrent relational networks have emerged as a powerful tool for relational reasoning in various domains such as natural language processing, computer vision, and robotics. These networks have the ability to capture complex relationships…
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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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