Experiential solving: Towards a unified autonomous search constraint solving approach

Broderick Crawford, Ricardo Soto, Kathleen Crawford, Franklin Johnson, Claudio León de la Barra, Sergio Galdames

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

Resumen

To solve many problems modeled as Constraint Satisfaction Problems there are no known efficient algorithms. The specialized literature offers a variety of solvers, which have shown good performance. Nevertheless, despite the efforts of the scientific community in developing new strategies, there is no algorithm that is the best for all possible situations. This paper analyses recent developments of Autonomous Search Constraint Solving Systems. Showing that the design of the most efficient and recent solvers is very close to the Experiential Learning Cycle from organizational psychology.

Idioma originalInglés
Título de la publicación alojadaHCI International 2015 – Posters Extended Abstracts - International Conference, HCI International 2015, Proceedings
EditoresConstantine Stephanidis
EditorialSpringer Verlag
Páginas573-577
Número de páginas5
ISBN (versión impresa)9783319213798
DOI
EstadoPublicada - 2015
Publicado de forma externa
Evento17th International Conference on Human Computer Interaction, HCI 2015 - Los Angeles, Estados Unidos
Duración: 2 ago 20157 ago 2015

Serie de la publicación

NombreCommunications in Computer and Information Science
Volumen528
ISSN (versión impresa)1865-0929

Conferencia

Conferencia17th International Conference on Human Computer Interaction, HCI 2015
País/TerritorioEstados Unidos
CiudadLos Angeles
Período2/08/157/08/15

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