There exists a large amount of knowledge representation models. But most of them have significant limitations at the epistemic level. They do not have explanatory power. Most of them do not have means to represent some functional needs to work…

Fish disease diagnosis is a complicated process and requires high level of expertise, an expert system for fish disease diagnosis is considered as an effective tool to help fish farmers. However, many farmers have no computers and are not able…

The development of systems with the ability to reason about change notion and actions has been of great importance for the artificial intelligence community. The definition and implementation of systems capable of managing defeasible, incomplete, unreliable, or uncertain information has…

Associating the pattern in text data with the pattern with time series data is a novel task. In this paper, an approach that utilizes the features of the time series data and domain knowledge is proposed and used to identify…

La interrelación entre el entorno, la estrategia y la estructura se constituye como un tema fundamental en el estudio de las organizaciones que ha sido abordado bajo diferentes vertientes desde hace ya algunas décadas, sin que ello suponga un agotamiento…

Adaptive systems behavior based on user models appear promising, mostly for complex environments such as mixed reality environments (MRE).
An MRE comprises a virtual representation of the reality as well as physical objects augmented with virtual features. These objects are…

This paper investigates and analyses the process of building a knowledge management (KM) model at Brazil‟s Embrapa (The Brazilian Agricultural Research Corporation). Embrapa is a world class knowledge organization whose mission is to provide feasible solutions for the sustainable development…

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