Evolving the "Feeling" of Time Through Sensory-Motor Coordination: A Robot Based Model

In this paper, we aim to design decision-making mechanisms for an autonomous robot equipped with simple sensors, which integrates over time its perceptual experience in order to initiate a simple signalling response. Contrary to other similar studies, in this work the decisionmaking is uniquely controlled by the time-dependent structures of the agent’s controller, which in turn are tightly linked to the mechanisms for sensory-motor coordination. The results of this work show that a single dynamic neural network, shaped by evolution, makes an autonomous agent capable of “feeling” time through the flow of sensations determined by its actions.

• Type: Conference
• Year: 2004
• Where: PPSN
• Authors: Elio Tuci, Vito Trianni, Marco Dorigo
• Keywords: Autonomous Robot, Decision-making Mechanisms, Distributed And Parallel Computing, PPSN 2004, Simple Signalling Response