Producción CyT

Context and Relevance: A Pragmatic Approach

Articulo

Autoría:

Hamid Ekbia ; MAGUITMAN, ANA GABRIELA

Fecha:

2001

Editorial y Lugar de Edición:

Springer Berlin / Heidelberg

Revista:

LECTURE NOTES IN COMPUTER SCIENCE, vol. 2116 (pp. 156-169) Springer Berlin / Heidelberg

Resumen *

In recent years, AI research has started to take seriously the role of context in developing models. This trend is heralded by a departure from logic-based views and their over-emphasis on the formal aspects of thought processes. The departure, however, has not been complete— some fundamental assumptions of formal logic are still maintained in the new approaches. Similarly, “relevance” remains a major challenge for AI research. This paper outlines an alternative proposal that takes context and relevance as intertwined aspects of thought and intelligence. We argue for a pragmatic approach, which shows better promise than formal logic in dealing with such issues. Información suministrada por el agente en SIGEVA