🤖 AI Summary
This work addresses the lack of a unified logical semantic foundation in existing hybrid Answer Set Programming (ASP) solvers when handling linear constraints, which leads to inconsistent system behavior. It proposes a multi-sorted variant of Bound-founded Here-and-There logic (HTb), establishing for the first time a uniform semantic framework for ASP with difference constraints and formally defining the notion of foundedness for numeric variables. Grounded in equilibrium model theory and a semantic analysis of constraint atoms, the approach not only uncovers the root causes of semantic discrepancies among systems such as clingo[DL], clingcon, and flingo, but also provides a foundational platform capable of uniformly characterizing the semantics of diverse hybrid ASP systems. This framework further supports program simplification and facilitates the integration of future semantic principles.
📝 Abstract
While the integration of linear constraints has significantly expanded the reach of Answer Set Programming (ASP), existing hybrid solvers often rely on disparate semantic underpinnings that lack a unified logical foundation. We address this gap by introducing a many-sorted variant of the Bound-founded Logic of Here-and-There (HTb), providing a versatile framework capable of characterizing equilibrium models across a wide spectrum of alternative semantics for extensions of ASP with linear constraints. We apply this framework to the setting of difference constraints, focusing on the semantic characterization of clingo[DL]. Central to our approach is the formalization of foundedness for numeric variables. By investigating how different hybrid systems - such as clingo[DL], clingcon, and flingo - justify constraint atoms, we uncover the semantic roots of their varying behaviors. This investigation results in a single, consistent framework that not only formalizes the foundations of current systems like clingo[DL] but also facilitates the rigorous study of program simplifications and the future integration of diverse semantic principles.