Catalog description: Introduction to deductive logic. Topics include: basic concepts of deductive logic; techniques of formal proof in propositional and predicate logic. 3 units. Prerequisites: No ...

Inductive logic programming (ILP) and machine learning together represent a powerful synthesis of symbolic reasoning and statistical inference. ILP focuses on deriving interpretable logic rules ...

Linking AI models to formal verification methods can correct LLM shortcomings such as false assertions. Amazon's Byron Cook ...

Id: 008323 Credits Min: 3 Credits Max: 3 Description An introduction to symbolic logic. Symbolic logic provides a framework of formal reasoning with applications in mathematics, cognitive science, ...

The Journal of Symbolic Logic (JSL) was founded in 1936 and it has become the leading research journal in the field. It is issued quarterly. Volume 71, being published during 2006, will consist of ...

The 1970s and 1980s saw a golden age of AI-focused languages like LISP and Prolog, which introduced groundbreaking concepts such as symbolic processing and logic programming.

Symbolic Regression (SR): A method for discovering mathematical expressions that best fit a given dataset, often employing genetic programming to search for interpretable models.

The Bulletin of Symbolic Logic was established in 1995 by the Association for Symbolic Logic (ASL) to provide a journal of high standards that would be both accessible and of interest to as wide an ...