TY - GEN
T1 - Temporal patterns in artificial reaction networks
AU - Gerrard, Claire
AU - McCall, John
AU - Coghill, George M.
AU - MacLeod, Christopher
PY - 2012
Y1 - 2012
N2 - The Artificial Reaction Network (ARN) is a bio-inspired connectionist paradigm based on the emerging field of Cellular Intelligence. It has properties in common with both AI and Systems Biology techniques including Artificial Neural Networks, Petri Nets, and S-Systems. This paper discusses the temporal aspects of the ARN model using robotic gaits as an example and compares it with properties of Artificial Neural Networks. The comparison shows that the ARN based network has similar functionality.
AB - The Artificial Reaction Network (ARN) is a bio-inspired connectionist paradigm based on the emerging field of Cellular Intelligence. It has properties in common with both AI and Systems Biology techniques including Artificial Neural Networks, Petri Nets, and S-Systems. This paper discusses the temporal aspects of the ARN model using robotic gaits as an example and compares it with properties of Artificial Neural Networks. The comparison shows that the ARN based network has similar functionality.
KW - Artificial Neural Networks
KW - Artificial Reaction Networks
KW - Biochemical Networks
KW - Cellular Intelligence
UR - https://www.scopus.com/pages/publications/84867686242
UR - https://www.scopus.com/pages/publications/84867686242#tab=citedBy
U2 - 10.1007/978-3-642-33269-2_1
DO - 10.1007/978-3-642-33269-2_1
M3 - Conference contribution
AN - SCOPUS:84867686242
SN - 9783642332685
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 1
EP - 8
BT - Artificial Neural Networks and Machine Learning, ICANN 2012 - 22nd International Conference on Artificial Neural Networks, Proceedings
T2 - 22nd International Conference on Artificial Neural Networks, ICANN 2012
Y2 - 11 September 2012 through 14 September 2012
ER -