Prospecting the future with AI

dc.contributor.author	Miguel Castillo, Jose
dc.contributor.author	Cortes, Conchi
dc.contributor.author	Gonzalez, Julian
dc.contributor.author	Benito, Armando
dc.date	2009-12
dc.date.accessioned	2019-09-20T12:00:14Z
dc.date.available	2019-09-20T12:00:14Z
dc.identifier.issn	1989-1660
dc.identifier.uri	https://reunir.unir.net/handle/123456789/9328
dc.description.abstract	If we were able to foresee the future, we could be prepared to reduce the impact of bad situations as well as getting the most of profiting periods. Our world is a dynamic system that evolves as time goes by. The number of variables that can influence in future situations outnumbers our capacity of prediction at a first glance. This article will show an alternative way to foresee potential future scenarios based on human experts’ opinion, what can be considered as a knowledge modeling tool.	es_ES
dc.language.iso	eng	es_ES
dc.publisher	International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI)	es_ES
dc.relation.ispartofseries	;vol. 01, nº 02
dc.relation.uri	https://ijimai.org/journal/node/4	es_ES
dc.rights	openAccess	es_ES
dc.subject	MAS	es_ES
dc.subject	prevention	es_ES
dc.subject	prospective	es_ES
dc.subject	scenarios	es_ES
dc.subject	IJIMAI	es_ES
dc.title	Prospecting the future with AI	es_ES
dc.type	article	es_ES
reunir.tag	~IJIMAI	es_ES

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