Neuro-Symbolic AI: Combining Neural Networks and Symbolic Reasoning
Explore neuro-symbolic AI systems that combine neural networks with symbolic reasoning, enabling both learning and interpretability.
Latest Articles
Non-Monotonic Reasoning: Reasoning with Incomplete Information
Comprehensive guide to non-monotonic reasoning, exploring how to reason effectively with incomplete and uncertain information.
Ontology Engineering: Designing and Developing Ontologies
Explore ontology engineering techniques for designing, developing, and maintaining formal ontologies.
Operational Semantics: Execution and Computation Models
Comprehensive guide to operational semantics, exploring how to formally specify program execution through transition systems, evaluation rules, and computation models.
Parsing and Syntax Analysis
Master parsing and syntax analysis techniques. Learn how to analyze the structure of strings and build parse trees from input.
Predicate Logic Equivalences
Master the fundamental equivalences in predicate logic. Learn how to transform and simplify quantified formulas using logical equivalences.
Prolog: Fundamentals and Programming
Comprehensive guide to Prolog programming, exploring logic programming fundamentals and practical Prolog development.
Proof Assistants and Formal Verification: Ensuring Correctness
Comprehensive guide to proof assistants and formal verification, exploring how to ensure correctness of software and hardware systems.
Pushdown Automata
Master pushdown automata, which extend finite automata with a stack. Learn how PDAs recognize context-free languages.
Reasoning in Large Language Models: Logic and Inference
Explore how large language models perform reasoning tasks, chain-of-thought prompting, and the logical capabilities and limitations of LLMs.