Arrow Research search
Back to AIJ

AIJ 1997

Representing action: indeterminacy and ramifications

Journal Article journal-article Artificial Intelligence

Abstract

We define and study a high-level language for describing actions, more expressive than the action language A introduced by Gelfond and Lifschitz. The new language, AR, allows us to describe actions with indirect effects (ramifications), nondeterministic actions, and actions that may be impossible to execute. It has symbols for nonpropositional fluents and for the fluents that are exempt from the commonsense law of inertia. Temporal projection problems specified using the language AR can be represented as nested abnormality theories based on the situation calculus.

Authors

Keywords

  • Action languages
  • Circumscription
  • Nested abnormality theories
  • Nondeterministic actions
  • Ramification problem

Context

Venue
Artificial Intelligence
Archive span
1970-2026
Indexed papers
3976
Paper id
152126620178221345
v2026.09.13