Título
Automatic generation of explanations: AGE
Autor
SILVIA BEATRIZ GONZALEZ BRAMBILA
EDUARDO FRANCISCO MORALES MANZANARES
Nivel de Acceso
Acceso Abierto
Materias
Resumen o descripción
Explaining how engineering devices work is important to students, engineers, and operators. In general, machine
generated explanations have been produced from a particular perspective. This paper introduces a system called automatic
generation of explanations (AGE) capable of generating causal, behavioral, and functional explanations of physical
devices in natural language. AGE explanations can involve different user selected state variables at different abstraction levels.
AGE uses a library of engineering components as building blocks. Each component is associated with a qualitative model,
information about the meaning of state variables and their possible values, information about substances, and information
about the different functions each component can perform. AGE uses: (i) a compositional modeling approach to construct large
qualitative models, (ii) causal analysis to build a causal dependency graph, (iii) a novel qualitative simulation approach to
efficiently obtain the system’s behavior on large systems, and (iv) decomposition analysis to automatically divide large devices into
smaller subsystems. AGE effectiveness is demonstrated with different devices that range from a simple water tank to an industrial
chemical plant.
Editor
Elsevier Ltd
Engineering Applications of Artificial Intelligence
Fecha de publicación
2007
Tipo de publicación
Artículo
Versión de la publicación
Versión publicada
Recurso de información
Formato
application/pdf
Idioma
Inglés
Audiencia
Estudiantes
Investigadores
Público en general
Sugerencia de citación
Eduardo F. Morales
Repositorio Orígen
Repositorio Institucional del INAOE
Descargas
710