It is commonly acknowledged that we need to accept and handle uncertainty when reasoning with real world data. The most profoundly studied measure of uncertainty is the probability. However, the general feeling is that probability cannot express all types of…

For most of us, the home is considered to be our castle: when we close the doors, it is our equivalent to pulling up the drawbridge, thereby retreating from the outside world. But more often, there is no retreat from…

This article explores the stylistic devices and narrative techniques that the late 19th-century
great American satirist employed to subvert and ridicule his contemporaries'
understanding of language and of its relationship to reality. According to Bierce, language
is not merely a…

Inside an organization there is information that can only be generated by people, then, when a decision maker in any time and anywhere of an organization requires this information, he/she has to solicit it to who has the ability of…

Belief Revision systems are logical frameworks to modeling the dynamics of knowledge. That is, how to modify our beliefs when we recieve new information. The main problem arises when the information is inconsistent with beliefs that represents our epistemic state.…

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How do teams complete a task involving critical knowledge that is both complex and
external to the team itself? This is a task characterized by a particularly difficult tradeoff
between external search for important knowledge on one hand…

The term 24-Hour Knowledge Factory connotes a globally distributed work environment in which members of the
global team work on a project around the clock; each member of the team works the normal workday hours that
pertain to…

Knowledge-intensive processes are widely used to recover from errors, handle exceptional cases and complaints, and to improve or adapt a process itself. In this context, evolved Business-Process Reengineering (BPR) techniques are changing to give some answers to this reality. In…

Algunas aplicaciones del procesamiento del lenguaje natural, p.ej. la traducción
automática, requieren una base de conocimiento provista de representaciones conceptuales que
puedan reflejar la estructura del sistema cognitivo del ser humano. En cambio, tareas como la
indización automática o la…