Constraint-satisfaction problems (CSPs) are ubiquitous, ranging from budgeting for grocery shopping to verifying software behavior. Logic modeling helps solve CSPs programmatically using SMT solvers.
Abstract: Working memory is the system used by every human for temporarily storing and managing the information required to carry out complex cognitive tasks such as learning, reasoning and ...
Ariela M. Freedman, Sheena Simmons, Laura M. Lloyd, Tara R. Redd, Melissa (Moose) Alperin, Sahar S. Salek, Lori Swier, Kathleen R. Miner Health Promotion Practice ...
This repository contains the implementation of a hybrid model that combines symbolic logic rules with neural networks using Logic Tensor Networks (LTN) to predict whether students will pass based on ...
Abstract: Resolution is a fundamental technique in logic and plays a crucial role in automated reasoning and artificial intelligence. It serves as the foundation for many theorem-proving techniques ...
The Arduino Digital Logic Educational Kit is an interactive tool designed to help students learn about digital logic concepts, including binary numbers, logic gates, and analog-to-digital conversion.
Logic Learn launches an AI-powered platform offering personalized study plans, study guides, flashcards, and exams for effective, customized learning globally. At Logic Learn, we are driven by a ...
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