Anticipatory Behavior in Adaptive Learning Systems

Abstract

The paper describes a new approach toward the study of anticipatory behavior in adaptive learning systems, an approach based on electrophysiological evidence of anticipatory behavior of the human brain. The basic idea is to study brain potentials related to anticipation of some event. Here we describe our work with the CNV anticipatory potential. We extended the classical CNV paradigm introducing a brain-computer interface that allows observation of the adaptive change of the cognitive environment of the subject. We obtained a cognitive phenomenon which generates a trace which we denoted as Electroexpectogram (EXG). It shows a learning process represented by the learned anticipation. Emotional Petri Nets are used in explanation of the EXG paradigm in terms of consequence driven systems theory.