Declarative Process

Declarative process modeling focuses on specifying *what* a process should achieve, rather than *how* it should be executed, using formal languages and logic-based representations. Current research emphasizes efficient methods for integrating and optimizing these specifications, particularly within the context of large language models and AI-powered systems, often employing finite automata, logic-based expert systems, and probabilistic data-driven approaches. This approach offers significant advantages in managing complex processes, automating tasks, and improving the efficiency and reliability of AI-driven applications across diverse fields like business process management, healthcare, and legal discovery.