Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/73115
Title: Multi-layered PSMs for planning
Authors: Teruel-Alberich, F
Romero-Castro, M.
Rodríguez Rodríguez, Abraham 
UNESCO Clasification: 120304 Inteligencia artificial
Keywords: Problem-solving methods
Issue Date: 2001
Conference: 20th SGES International Conference on Knowledge Based Systems and Applied Artificial Intelligence (ES2000) 
Abstract: PSM are essential components in any modern knowledge methodology because they provide us with some guidelines that facilitate the building of knowledge-based system and promote the reusability of development efforts. However, it is recognised that the reusabilty of any PSM will decrease as the complexity of the task to be modelled increase. If we consider that actual tasks are complex enough, we may conclude that the effective reusability of a PSM is very limited. In order to minimise this inconvenience, we propose to use two layers of PSM. One layer will model the primitive tasks the system is composed of. The other layer will control the execution order of these tasks in order to reach to a global solution. This paper describes how we have applied this schema over a planning task on the Search and Rescue domain.
URI: http://hdl.handle.net/10553/73115
ISBN: 1-85233-403-7
DOI: 10.1007/978-1-4471-0269-4_27
Source: Research And Development In Intelligent Systems XVII, p. 375-388, (2001)
Appears in Collections:Actas de congresos
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