Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/73115
Título: Multi-layered PSMs for planning
Autores/as: Teruel-Alberich, F
Romero-Castro, M.
Rodríguez Rodríguez, Abraham 
Clasificación UNESCO: 120304 Inteligencia artificial
Palabras clave: Problem-solving methods
Fecha de publicación: 2001
Conferencia: 20th SGES International Conference on Knowledge Based Systems and Applied Artificial Intelligence (ES2000) 
Resumen: 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
Fuente: Research And Development In Intelligent Systems XVII, p. 375-388, (2001)
Colección:Actas de congresos
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