Knowledge-Based Programs as Plans: Succinctness and the Complexity of Plan Existence

Jérôme Lang (1) , Bruno Zanuttini (2)

1 LAMSADE - Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision
2 Equipe MAD - Laboratoire GREYC - UMR6072

Knowledge-based programs (KBPs) are high-level protocols describing the course of action an agent should perform as a function of its knowledge. The use of KBPs for expressing action policies in AI planning has been surprisingly overlooked. Given that to each KBP corresponds an equivalent plan and vice versa, KBPs are typically more succinct than standard plans, but imply more on-line computation time. Here we make this argument formal, and prove that there exists an exponential succinctness gap between knowledge-based programs and standard plans. Then we address the complexity of plan existence. Some results trivially follow from results already known from the literature on planning under incomplete knowledge, but many were unknown so far.

Domaines: Intelligence artificielle [cs.AI]; Modélisation et simulation

Jérôme Lang, Bruno Zanuttini. Knowledge-Based Programs as Plans: Succinctness and the Complexity of Plan Existence. Actes des 8eme Journees Francophones Planification Decision Apprentissage (JFPDA 2013), Jul 2013, France. 15 p. ⟨hal-00948289⟩