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PlAnts: Planning by ACO
Fabio Rossi
University of Perugia
Dept. of Mathematics and Computer Science
rossi@dipmat.unipg.it

Abstract

A heuristic approach to automated planning is proposed. A planning problem consists in finding a sequence of actions, or instances of operators, which transforms an initial state to a desired goal state. Many algorithms and representations was proposed to deal with. In particular planning graph is a compact structure to encodes a planning problem and most of its constraints (mutex relations). We are investigating the application of "Ant Colony Optimization (ACO)-inspired" algorithms to extract valid plans from a planning graph. Ant Colony Optimization is a robust heuristic that has been succesfully applied to many combinatorial optimization problems. Some considerations and suggestions will be presented.

Keywords

Ant Colony Optimization, AI planning