Score: 2

Logic Programming with Extensible Types

Published: January 7, 2026 | arXiv ID: 2601.03836v1

By: Ivan Perez, Angel Herranz

BigTech Affiliations: NASA

Potential Business Impact:

Lets computer code do smart thinking easily.

Business Areas:
Natural Language Processing Artificial Intelligence, Data and Analytics, Software

Logic programming languages present clear advantages in terms of declarativeness and conciseness. However, the ideas of logic programming have been met with resistance in other programming communities, and have not generally been adopted by other paradigms and languages. This paper proposes a novel way to incorporate logic programming in an existing codebase in a typed functional programming language. Our approach integrates with the host language without sacrificing static typing, and leverages strengths of typed functional programming such as polymorphism and higher-order. We do so by combining three ideas. First, we use the extensible types technique to allow values of the host language to contain logic variables. Second, we implement a unification algorithm that works for any data structure that supports certain operations.Third, we introduce a domain-specific language to define and query predicates. We demonstrate our proposal via a series of examples, and provide aids to make the notation convenient for users, showing that the proposed approach is not just technically possible but also practical. Our ideas have been implemented in the language Haskell with very good results.

Country of Origin
πŸ‡ͺπŸ‡Έ πŸ‡ΊπŸ‡Έ United States, Spain

Page Count
15 pages

Category
Computer Science:
Programming Languages