Evolving neural mechanisms for an iterated discrimination task: a robot based model
This paper is about the design of an artificial neural network to control an autonomous robot that is required to iteratively solve a discrimination task based on time-dependent structures. The ``decision making'' aspect demands the robot ``to decide'', during a sequence of trials, whether or not the type of environment it encounters allows it to reach a light bulb located at the centre of a simulated world. Contrary to other similar studies, in this work the robot employs environmental structures to iteratively make its choice, without previous experience disrupting the functionality of its decision-making mechanisms.
|Swarm-bots project started
on October 1,2001
|The project terminated
on March 31, 2005.
Fri, 27 Jun 2014 11:26:47 +0200