AI RESEARCH

On the Size Complexity and Decidability of First-Order Progression

arXiv CS.AI

ArXi:2605.12691v1 Announce Type: new Progression, the task of updating a knowledge base to reflect action effects, generally requires second-order logic. Identifying first-order special cases, by restricting either the knowledge base or action effects, has long been a central topic in reasoning about actions. It is known that local-effect, normal, and acyclic actions, three increasingly expressive classes, admit first-order progression. However, a systematic analysis of the size of such progressions, crucial for practical applications, has been missing.