This article addresses the relation between memory, representation, and adaptive behavior.
More specifically, it demonstrates and discusses the use of synaptic plasticity, realized …

A central question in artificial intelligence is how to design agents capable of switching
between different behaviors in response to environmental changes. Taking inspiration from …

In autonomous agent systems, internal memory can be an important element to overcome
the limitations of purely reactive agent behaviour. This paper presents an analysis of …

The'road sign problem is a class of delayed response tasks in which an agent's correct
turning direction at a T-junction is dependent on a stimulus it has encountered earlier …

La robotique évolutionniste vise à concevoir des machines capables d'apprendre
continuellement des savoir-faire nouveaux dans un monde continu, non contrôlé et …

DESIGN AND INTEGRATION OF AGENT-BASED PARTIAL BRAIN MODELS FOR ROBOTIC
SYSTEMS BY MEANS OF HIERARCHICAL COOPERATIVE COEVOLUTION Page 1 DESIGN …

In this study, a robotic neurocontroller architecture that handles delayed response tasks,
which are characterized by a significant (and typically varying) delay between a stimulus …

This dissertation aim is to investigate the application of higher-ordered feedback
architectures, as a control system for an autonomous robot, on delayed response task …

Neuromodulation is a pervasive biological process involving the release of chemicals in the
brain, which can drastically alter neural activity over many scales in both time and space …

Humans and other intelligent animals are characterized by their ability to learn from past
experience and adapt to their changing environments. This allows them to perform well in …