Decision Making in Dynamic Information Environments

Autores: Tiago Oliveira, Jose Carlos Montoya, Paulo Novais , Ken Satoh
Localización: Inteligencia artificial: Revista Iberoamericana de Inteligencia Artificial, ISSN-e 1988-3064, ISSN 1137-3601, Vol. 20, Nº. 59, 2017 (Ejemplar dedicado a: Inteligencia Artificial (June 2017)), págs. 5-7
Idioma: inglés
DOI: 10.4114/intartif.vol20iss59pp5-7
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Resumen
- If there is no knowledge about the state of the world, getting the appropriate response to an event becomes impossible. Situations of uncertainty are common in the most varied environments and have the potential to impair or even stop the decision-making process. Thus, reaching an outcome in such situations requires the development of decision frameworks that account for missing, contradictory or uncertain information.