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ECAL
2005
Springer

Evolving Neural Mechanisms for an Iterated Discrimination Task: A Robot Based Model

10 years 9 months ago
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.
Elio Tuci, Christos Ampatzis, Marco Dorigo
Added 27 Jun 2010
Updated 27 Jun 2010
Type Conference
Year 2005
Where ECAL
Authors Elio Tuci, Christos Ampatzis, Marco Dorigo
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