Ambiente de Planejamento Ip\^e

TL;DR

This paper investigates AI planning systems, focusing on plan graph-based planners, and proposes an environment for developing and analyzing their performance.

Contribution

It introduces a new environment for developing and evaluating AI planners, especially those based on plan graphs, facilitating performance comparison.

Findings

Analyzed various AI planning algorithms.

Developed an environment for planner development.

Provided insights into planner performance comparison.

Abstract

In this work we investigate the systems that implements algorithms for the planning problem in Artificial Intelligence, called planners, with especial attention to the planners based on the plan graph. We analyze the problem of comparing the performance of the different algorithms and we propose an environment for the development and analysis of planners.