The engine parses a .txt file containing TELL (knowledge base) and ASK (query) statements and outputs whether the query is entailed. The engine also outputs the model count (TT) or the entailed ...

This repository contains an Inference Engine for propositional logic, written entirely in Python. The engine is designed to perform automated reasoning over propositional logic statements and can be ...

This is a preview. Log in through your library . Abstract We conducted a computer-based psychological experiment in which a random mix of 40 tautologies and 40 non-tautologies were presented to the ...

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 ...

Truth diagrams (TDs) are introduced as a novel graphical representation for propositional logic (PL). To demonstrate their epistemic efficacy a set of 28 concepts are proposed that any comprehensive ...

Define the following logic terms and apply them to real-world problems: Describe the simple model checking algorithm and the theorem proving algorithms - forward chaining and resolution, what they ...

Abstract: Tsetlin Machine (TM) has recently emerged as a promising alternative to arithmetically driven machine learning algorithms, such as deep neural networks (DNNs). TMs are based on ...

This course is compulsory on the BSc in Philosophy and Economics, BSc in Philosophy, Logic and Scientific Method, BSc in Philosophy, Politics and Economics and BSc in Politics and Philosophy. This ...