This paper discusses questions about communication of probabilistic knowledge in the light of current theories of agent communication. It will argue that there is a semantic gap between these theories and research areas related to probabilistic knowledge representation and communication,…

This paper addresses the problem of contour line extraction from scanned topographic maps in poor condition. A novel method is developed, using knowledge of cartography and graphics to extract contours by removing other layers which overlay the contours, and reconstructing…

Performance of parallel programs is one of the reasons of their development. The process of designing and programming a parallel application is a very hard task that requires the necessary knowledge for the detection of performance bottlenecks, and the corresponding…

In the software world portability means power. The more operating environments you can support out of the same code tree means more potential users for your software. If done right, additional platforms can be supported with little extra maintenance cost.…

Universidad Nacional de La Plata (UNLP) Intellectual Creativity Diffusion Service (SeDiCI) was formed mainly to publicise the knowledge acquired at the different academic areas of our university, having the goal of restoring to the community the efforts expended on public…

Nowadays, data intensive applications are in constant demand and there is need of computing environments with better intelligent capabilities than those present in today's Database Management Systems (DBMS). To build such systems we need formalisms that can perform complicate inferences,…

Defeasible Logic Programming (DeLP) is a knowledge representation formalism that combines results from Logic Programming and Defeasible Argumentation to provide reasoning based on contradictory and potentially incomplete information. DeLP allows information representation by using weak rules and provides an argumentation…

In this paper, we present a new model of an artificial
immune system (AIS), based on the process
that suffers the T-Cell, it is called T-Cell
Model. It is used for solving constrained (numerical)
optimization problems. The model operates
on…