Neural networks have been used in a number of robotic applications (Das & Kar, 2006; Fierro & Lewis, 1998), including both manipulators and mobile robots. A typical approach is to use neural networks for nonlinear system modelling, including for instance the learning of forward and inverse models of a plant, noise cancellation, and other forms of nonlinear control (Fierro & Lewis, 1998). An alt...

The Tennessee Eastman (TE) Control Challenge proposed by Downs and Vogel [1] is a test bed problem for use in evaluating advanced process control methodologies from a plant-wide perspective. The dynamic model for the process (based on an actual industrial process) integrates the operation of five unit operations; viz. an exothermic, two-phase reactor, a partial condenser, a centrifugal compress...

Starting from the situated and embodied perspective on the study of biological cognition as a source of inspiration, this paper programmatically outlines a path towards an experimental exploration of the cognitive role of the body in artificial agents. Biological cognition is here conceived and synthetically analyzed as a broadly extended and distributed dynamic process emerging from the interp...