Logic programming has some drawbacks and limitations that make it computationally expensive, non-deterministic, and hard to debug. It requires a lot of memory and processing power to perform ...

The combined functional and logic programming features of Curry have been shown useful in diverse applications: for example, to provide high-level APIs to access and manipulate databases, 12 to ...

For individuals with an interest in Logic Programming, this repository serves as an easy-to-use playground, eliminating the hassle of complex environment setup. To utilize this repository, please use ...

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 ...

We introduce a framework for supporting learning to program in the paradigm of Answer Set Programming (ASP), which is a declarative logic programming formalism. Based on the idea of teaching by asking ...

Knowledge representation and reasoning in logic programming constitute a core area of artificial intelligence that formalises how information is symbolically encoded and manipulated.

Repetition is common in program logic; for example, keep scanning the input until you find "xyz." In high-level languages, DO LOOPS and FOR LOOPS accomplish this repetition.

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. Skip to main content LinkedIn ...