— Typical embedded systems must perform rather complex control and communication tasks with severely restricted computing resources. Due to these contraints most systems are sing...
We show how to apply learning methods to two robotics problems, namely the optimization of the on-board controller of an omnidirectional robot, and the derivation of a model of the...
: In this paper we introduce a series of reference models for Secure Role-Based Workflow systems. We build our models over the well-known RBAC96 framework. 96 model supports the no...
: There has been much discussion recently about the scope and limits of purely symbolic models of the mind and about the proper role of connectionism in cognitive modeling. This pa...
This paper proposes an estimation of distribution algorithm (EDA) aiming at addressing globally multimodal problems, i.e., problems that present several global optima. It can be r...