---
title: "Scope and Abstraction: Two Criteria for Localized Planning"
authors:
  - "Amy L. Lansky"
  - "Lise Getoor"
doi: ""
url: "https://ijcai.org/proceedings/1995/208"
pdf: "https://ijcai.org/proceedings/1995/0208.pdf"
venue: "Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence"
year: 1995
pages: "1612-1618"
track: "Planning"
keywords:
---

# Scope and Abstraction: Two Criteria for Localized Planning

Amy L. Lansky, Lise Getoor

*Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence*, pages 1612-1618.

## Abstract

Localization is a general-purpose representational technique for partitioning a problem into subproblems. A localized problem-solver searches several smaller search spaces, one for each subproblem. Unlike most methods of partitioning, however, localization allows for subproblems that overlap - i.e. multiple search spaces may be involved in constructing shared pieces of the overall plan. In this paper we focus on two criteria for forming localizations: scope and abstraction. We describe a method for automatically generating such localizations and provide empirical results that contrast their use in an office-building construction domain .