Fox, M. and Long, D. (2001) Hybrid STAN: Identifying and managing combinatorial optimisation sub-problems in planning. In: Proceedings of International Joint Conference on Artificial Intelligence, 2001-08-04 - 2001-08-10, Seattle, Washington, USA.
Download (172kB) | Preview
It is well-known that planning is hard but it is less well-known how to approach the hard parts of a problem instance effectively. Using static domain analysis techniques we can identify and abstract certain combinatorial sub-problems from a planning instance, and deploy specialised technology to solve these sub-problems in a way that is integrated with the broader planning activities. We have developed a hybrid planning system (STAN4) which brings together alternative planning strategies and specialised algorithms and selects them according to the structure of the planning domain. STAN4 participated successfully in the AIPS-2000 planning competition. We describe how sub-problem abstraction is done, with particular reference to route-planning abstraction, and present some of the competition data to demonstrate the potential power of the hybrid approach.
|Item type:||Conference or Workshop Item (Paper)|
|Keywords:||Electronic computers. Computer science|
|Subjects:||Science > Mathematics > Electronic computers. Computer science|
|Department:||Faculty of Science > Computer and Information Sciences|
|Depositing user:||Professor Maria Fox|
|Date Deposited:||26 Oct 2006|
|Last modified:||15 Apr 2015 11:45|
Actions (login required)