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 ...

Answer Set Programming (ASP) and Logic Programming represent key paradigms in contemporary computer science, particularly in the field of artificial intelligence. ASP is a form of declarative ...

Logic programming is a programming paradigm in which the program statements are facts and rules about some domain and the program is expected to answer questions and search for and infer rule-based ...

Pronounced "Answer Set Programming for all," this repository is designed to serve as an Open Educational Repository (OER) for Answer Set Programming, in particular in the Clingo dialect. The universal ...

Logic ProgrammingLogic programming is a paradigm where computation arises from proof search in a logic according to a fixed, predictable strategy. It thereby unifies logical specification and ...

This is a discussion of some of the achievements and challenges related to representing actions and the design of planners from the perspective of logic programming. We talk about recent work on ...

Artificial Intelligence Review (2001). [4] Semantic forgetting in answer set programming. Artificial Intelligence (2008).

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 ...

Hybrid deep neural-symbolic architecture for event-detection employs a deep neural network at the back-end to perform low-level reasoning and a symbolic logical module to perform high-level cognitive ...