Qsmodels: ASP Planning in Interactive Gaming Environment
Luca Padovani, Alessandro Provetti
TL;DR
This paper introduces Qsmodels, a novel approach using Answer Set Programming to control game-playing bots in Quake 3 Arena, demonstrating how logic programming can enhance interactive gaming AI.
Contribution
It presents a new architecture integrating ASP with game AI, enabling flexible and intelligent bot behavior in real-time gaming environments.
Findings
Successful implementation of ASP-based bot control in Quake 3 Arena
Demonstrated flexibility and responsiveness of the ASP planner
Enhanced understanding of logic programming applications in gaming
Abstract
Qsmodels is a novel application of Answer Set Programming to interactive gaming environment. We describe a software architecture by which the behavior of a bot acting inside the Quake 3 Arena can be controlled by a planner. The planner is written as an Answer Set Program and is interpreted by the Smodels solver.
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