Learn what logic programming is, how it works, and why it matters. Explore some popular logic programming languages and how to get started with them.

Key Insights Answer-set programming is an emerging approach to modeling and solving search and optimization problems. It combines an expressive representation language, a model-based problem ...

For instance, the demand-driven evaluation of functional programming applied to nondeterministic operations of logic programming leads to more efficient search strategies. The effort to develop ...

Probabilistic logic programming extends logic programming by enabling the representation of uncertain information by means of probability theory. Probabilistic logic programming is at the intersection ...

In “answer set programming,” solutions to a problem are represented by answer sets, and not by answer substitutions produced in response to a query, as in conventional logic programming. Instead of ...

The field of Probabilistic Logic Programming (PLP) has seen significant advances in the last 20 years, with many proposals for languages that combine probability with logic programming. Since the ...

Answer set programming (ASP) is a form of declarative programming oriented towards difficult (primarily NP-hard) search problems. It is based on the stable model (answer set) semantics of logic ...