Fish commonly known as acaris or plecos are freshwater armored catfish economically important as a food resource and as ornamental fish. Most of these species are captured in the Amazon region. However, despite its economic importance, there is a lack…

2014, Edição dos abstracts do 24º IUFRO World Congress, 2014, Salt Lake City. Sustaining forests, sustaining people: the role of research.

Evolutionary algorithms (EAs) are merely blind search algorithms, which only make use of the relative fitness of solutions, but completely ignore the nature of the problem. Their performance can be improved by using new multirecombinative approaches, which provide a good…

In plant breeding programs, the knowledge about the appropriate sample size for the evaluation of populations is very important. A small sample reduces the chance of selecting superior genotypes, whereas a very large sample may lead to unnecessary increases in…

Knowledge representation models are very important in the design of intelligent agents because they provide with mechanisms to manage beliefs and their dynamics. In this paper, we propose the use of AnsProlog* as a knowledge representation language, and develop a…

The objective of this study was to establish an isolated microspore culture (IMC) protocol in wheat (Triticum aestivum L.) for use in genetic studies and to evaluate its potential for routine use in the Brazilian Wheat Breeding Program at Embrapa…

This paper presents an overview of a theory of discourse structure, and discusses a model for assimilating text into a frame-based data structure. The model has been applied to the analysis of news articles. The theory assumes sentences contain links…

Traditional scheduling algorithms (using the techniques of PERT charts, decision analysis or operations research) require well-defined quantitative, complete sets of constraints. They are insufficient for scheduling situations where the problem description is ill-defined, involving incomplete, possibly inconsistent and generally qualitative…

Los modelos de ciclo de vida actuales tienden a presentar, normalmente, cierta linealidad en su dinámica asociada. El presente trabajo tiene por objetivo, a través de interrelacionar diversas áreas del conocimiento, mostrar que el continuum, casi siempre, no se corresponde…

In this work we present an approach to model an action-oriented system controlled by BDI agents using a defeasible argumentation formalism to represent its knowledge. Here, our main concern will be modelling the software agents that drive the physical robots.