Paper Info
Title
Boolean network robotics: a proof of concept
Abstract
Dynamical systems theory and complexity science provide powerful tools for analysing artificial agents and robots. Furthermore, they have been recently proposed also as a source of design principles and guidelines. Boolean networks are a prominent example of complex dynamical systems and they have been shown to effectively capture important phenomena in gene regulation. From an engineering perspective, these models are very compelling, because they can exhibit rich and complex behaviours, in spite of the compactness of their description. In this paper, we propose the use of Boolean networks for controlling robots' behaviour. The network is designed by means of an automatic procedure based on stochastic local search techniques. We show that this approach makes it possible to design a network which enables the robot to accomplish a task that requires the capability of navigating the space using a light stimulus, as well as the formation and use of an internal memory.
Year
Venue
Keywords
2011
Clinical Orthopaedics and Related Research
dynamic systems theory,boolean network,evolutionary computing,gene regulation,proof of concept,artificial intelligent
Field
DocType
Volume
Boolean network,Computer science,Theoretical computer science,Compact space,Dynamical systems theory,Proof of concept,Artificial intelligence,Local search (optimization),Robot,Spite,Machine learning,Robotics
Journal
abs/1101.6
Citations 
PageRank 
References 
0
0.34
3
Authors
4
Name
Order
Citations
PageRank
Andrea Roliand100.34
Mattia Manfroni2241.90
Carlo Pinciroli341930.54
Mauro Birattari42021146.61