Sciweavers

IDEAL
2010
Springer

Applying Clustering Techniques to Reduce Complexity in Automated Planning Domains

13 years 2 months ago
Applying Clustering Techniques to Reduce Complexity in Automated Planning Domains
Automated Planning is a very active area of research within Artificial Intelligence. Broadly this discipline deals with the methods by which an agent can independently determine the action sequence required to successfully achieve a set of objectives. In this paper, we will present initial work outlining a new approach to planning based on Clustering techniques, in order to group states of the world together and use the fundamental structure of the world to lift out more abstract representations. We will show that this approach can limit the combinatorial explosion of a typical planning problem in a way that is much more intuitive and reusable than has previously been possible, and outline ways that this approach can be developed further. Key words: Clustering, Automated Planning, Reducing Complexity
Luke Dicken, John Levine
Added 26 Jan 2011
Updated 26 Jan 2011
Type Journal
Year 2010
Where IDEAL
Authors Luke Dicken, John Levine
Comments (0)