In order to maintain brain function, neural activity needs to be tightly coordinated within the
brain network. How this coordination is achieved and related to behavior is largely unknown …

This position paper introduces the concept of artificial “co-drivers” as an enabling technology
for future intelligent transportation systems. In Sections I and II, the design principles of co …

We outline a dynamical framework for sequential sensorimotor behavior based on the
sequential composition of basic behavioral units. Basic units are conceptualized as …

We seek a mechanism for the classification of the intentional behavior of a cognitive agent,
specifically a driver, in terms of a psychological Perception-Action (PA) model, such that the …

We consider the benefits of dream mechanisms–that is, the ability to simulate new
experiences based on past ones–in a machine learning context. Specifically, we are …

The idea that complex motor, perceptual, and cognitive behaviors are composed of smaller
units, which are somehow brought into a meaningful relation, permeates the biological and …

Theories of embodied cognition agree that the body plays some role in human cognition, but
disagree on the precise nature of this role. While it is (together with the environment) …

Automated driving needs unprecedented levels of reliably and safety before marked
deployment. The average human driver fatal accident rate is 1 every 100 million miles …

Perception-action (PA) learning is an approach to cognitive system building that seeks to
reduce the complexity associated with conventional environment-representation/action …

A cognitively autonomous artificial agent may be defined as one able to modify both its
external world-model and the framework by which it represents the world, requiring two …