Algorithmic knowledge profiles for introspective monitoring in artificial cognitive agents

Manuel F. Caro, Adan A. Gomez, Juan C. Giraldo

Producción: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

2 Citas (Scopus)

Resumen

This paper describes a new approach for the representation of profiles of cognitive functions. The profiles are used in introspective monitoring to keep updated the meta-level about the most relevant attributes of each cognitive function that is executed in the object-level. The profiles are called algorithmic knowledge profiles. Declarative meta-knowledge, procedural meta-knowledge and strategic meta-knowledge are represented using the algorithmic knowledge profile. The profiles are formally defined and the computational implementation is based on extended tabular trees. The approach is illustrated using an instructional planner agent as an example.

Idioma originalInglés
Título de la publicación alojadaProceedings of 2017 IEEE 16th International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2017
EditoresYingxu Wang, Freddie Hamdy, Newton Howard, Lotfi A. Zadeh, Amir Hussain, Bernard Widrow
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas475-481
Número de páginas7
ISBN (versión digital)9781538607701
DOI
EstadoPublicada - 14 nov. 2017
Publicado de forma externa
Evento16th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2017 - Oxford, Reino Unido
Duración: 26 jul. 201728 jul. 2017

Serie de la publicación

NombreProceedings of 2017 IEEE 16th International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2017

Conferencia

Conferencia16th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2017
País/TerritorioReino Unido
CiudadOxford
Período26/07/1728/07/17

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