Recent works in the E-Learning field tend to focus on the learner, leaving the representation and treatment of contents in the background. One of the principal actors that contribute on this focus shift is the adoption of adaptive techniques that profile learners and adjust the contents according to the inferred profiles. In contrast with most adaptive approaches, this work introduces a short-t...

The growing interest in developing adaptive systems has led to numerous proposals for approaches aimed at supporting the development of such systems. Some approaches define adaptation mechanisms in terms of architectural designs, consisting of concepts such as components, connectors and states. Other approaches are requirements-based, thus concerned with goals, tasks, contexts and preferences a...

The fast and frugal heuristics framework assumes that people rely on an adaptive toolbox of simple decision strategies—called heuristics—to make inferences, choices, estimations, and other decisions. Each of these heuristics is tuned to regularities in the structure of the task environment and each is capable of exploiting the ways in which basic cognitive capacities work. In doing so, heuristi...

Adaptive deficits are commonly found in high functioning autism spectrum disorders (HF-ASD) despite of cognitive potential. Most studies have focused on the relationships between adaptive behavior and intellectual quotient (IQ) and have used correlations to study relationships between them. Few studies have analyzed cognitive variables other than IQ as potential predictors of adaptive behavior ...

Adaptive user interfaces adapt themselves to the user by reasoning about the user and refining their internal model of the user’s needs. In machine learning, artificial systems learn how to perform better through experience. By observing examples from a sample, the learning algorithm tries to induce a hypothesis which approximates the target function. It seems obvious, that machine learning exa...

Nonlinear effects, or non-Wiener behavior, have been observed in several adaptive filtering applications, such as adaptive equalization of wideband communication signals contaminated by narrowband interference, adaptive narrowband noise cancellation, and adaptive linear prediction of narrowband processes. The nonlinear effects have been especially prominent when narrowband processes have been i...