Angelic Semantics for High-Level Actions

High-level actions (HLAs) lie at the heart of hierarchical planning. Typically, an HLA admits multiple refinements into primitive action sequences. Correct descriptions of the effects of HLAs may be essential to their effective use, yet the literature is mostly silent. We propose an angelic semantics for HLAs, the key concept of which is the set of states reachable by some refinement of a high-level plan, representing uncertainty that will ultimately be resolved in the planning agent’s own best interest. We describe upper and lower approximations to these reachable sets, and show that the resulting definition of a high-level solution automatically satisfies the upward and downward refinement properties. We define a STRIPS-like notation for such descriptions. A sound and complete hierarchical planning algorithm is given and its computational benefits are demonstrated.

• Type: Conference
• Year: 2007
• Where: AIPS
• Authors: Bhaskara Marthi, Stuart J. Russell, Jason Wolfe
• Keywords: AIPS 2007, Artificial Intelligence, Complete Hierarchical Planning, Hierarchical Planning, Primitive Action Sequences