---
title: "Conditional progressive planning under uncertainty"
authors:
  - "Lars Karlsson"
doi: ""
url: "https://ijcai.org/proceedings/2001/60"
pdf: "https://ijcai.org/proceedings/2001/0060.pdf"
venue: "Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence"
year: 2001
pages: "431-437"
track: ""
keywords:
---

# Conditional progressive planning under uncertainty

Lars Karlsson

*Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence*, pages 431-437.

## Abstract

In this article, we describe a possibilistic/probabilistic conditional planner called PTLplan. Being inspired by Bacchus and Kabanza’s TLplan, PTLplan is a progressive planner that uses strategic knowledge encoded in a temporal logic to reduce its search space. Actions effects and sensing can be context dependent and uncertain, and the information the planning agent has at each point in time is represented as a set of situations with associated possibilities or probabilities. Besides presenting the planner itself — its representation of actions and plans, and its algorithm — we also provide some promising data from performance tests.