Most unsupervised indigenous knowledge (IK) are known to be very useful in combating critical health issues as well as being dangerous if the administration is abused. Despite the fact that these locally prepared herbal medicine are not encouraged to be…

The methodology “b-learning” is a new teaching scenario and it requires the creation, adaptation and application of new learning tools searching the assimilation of new collaborative competences. In this context, it is well known the knowledge spirals, the situational leadership…

Malaria and diarrhea are major causes of illness and death in Africa. These preventable diseases take the biggest toll on children, mostly due to lack of education and adequate resources in the home. The purpose of the reported research project…

In polyandrous species, sexual selection acts both before (precopulatory) and after
(postcopulatory) mating on traits that are important for reproductive success. Precopulatory traits
are important for mate acquisition and include weapons and ornaments. Postcopulatory traits
include components of sperm quantity…

This work describes the ontology construction process for the development of an Intelligent System for the Organization and Retrieval of Knowledge in Biodiversity – SISBIO. The system aims at the production of strategic information for the biofuel chain Two main…

L’objet de la présente étude est le développement, l’application et la diffusion de la technologie associée à divers types d’alliages de cuivre, en particulier l’alliage du plomb-bronze, en Grèce ancienne, dans ses colonies, ainsi qu’en Étrurie. Le plomb-bronze est un…

We discuss how data mining, patternbases and databases can be integrated into inductive databases, which make data mining an inductive query process. We propose a software architecture for such inductive databases, and extend this architecture to support the clustering of…

We present a socially inspired approach that allows agents in Multi-Agent Systems to speed up their own learning process through communication. Thereby, they are able to trade off impact of knowledge by mutation dependent on the recent performance of the…

Artificial Intelligence has long dealt with the issue of finding a suitable formalization for reasoning with incomplete and potentially inconsistent information. Defeasible argumentation [SL92,CML00,PraVre99] has proven to be a successful approach in many respects, since it naturally resembles many aspects…

The analysis and classification of seeds are essential activities contributing to the final added value in the crop production. Besides varietal identification and cereal grain grading, it is also of interest in the agricultural industry the early identification of weeds…