Constraint-Based Attribute and Interval Planning

  • Authors:

  • Jeremy Frank;Ari Jónsson

  • Affiliations:

  • NASA Ames Research Center, Mail Stop N269-3, Moffett Field, CA 94035-1000 frank@email.arc.nasa.gov;NASA Ames Research Center, Mail Stop N269-3, Moffett Field, CA 94035-1000 jonsson@email.arc.nasa.gov

  • Venue:
  • Constraints
  • Year:
  • 2003

Quantified Score

Hi-index 0.00

Visualization

Abstract

In this paper we describe Constraint-based Attribute and Interval Planning (CAIP), a paradigm for representing and reasoning about plans. The paradigm enables the description of planning domains with time, resources, concurrent activities, mutual exclusions among sets of activities, disjunctive preconditions and conditional effects. We provide a theoretical foundation for the paradigm, based on temporal intervals and attributes. We show how the plans are naturally expressed by networks of constraints, and show that the process of planning maps directly to dynamic constraint reasoning. We describe compatibilities, a compact mechanism for describing planning domains. We also demonstrate how this framework incorporates the use of constraint representation and reasoning technology to improve planning. Finally, we describe EUROPA, an implementation of the CAIP framework.