Aims and Scope

Answer set programming (ASP) is a widely used declarative programming paradigm based on the stable-model semantics. Over the years, the formalism has been extended with new language elements, advanced evaluation techniques have been developed, and efficient and expressive systems have been realized. These advancements turned ASP into a rich modeling language which was successfully applied to various tasks in artificial intelligence and beyond, including combinatorial problems and knowledge-intense tasks. Driven by the needs of applications, ongoing research in the field comprises, for instance, the integration with other paradigms (such as constraint programming), distributed computation, temporal and stream reasoning. These developments aim at the ultimate goal of equipping ASP with the features needed for realizing modern information systems. This workshop focuses on recent trends in the area of ASP, including novel techniques for the evaluation of ASP programs, extensions of the formalism, integration with other formalisms, advancements of systems, and benchmark suites. Furthermore, discussions of applications of ASP and its extensions in AI and industry are welcome.

Support

This workshop is supported by the AI4DI project, CAIML and VCLA.