ATL for Dynamic Gaming Environments
摘要
The integration of AI has become increasingly important in the gaming industry. However, it faces limitations when dealing with dynamic environments and unpredictable players. As a solution, in this paper we introduce a novel gaming framework that makes use of ATL, a powerful logic for formal strategic reasoning. ATL seamlessly aligns with Multi-Agent Systems, effectively mirroring the decision-making process of Non-Player Characters. With its key advantage of being built on Concurrent Game Structures and employing temporal operators, ATL efficiently models game state sequences. This paper introduces a groundbreaking in-engine, real-time AI method using ATL directly within Unreal Engine 5 blueprints, eliminating the need for external tools.