TY - GEN
T1 - Solving a delayed response task with spiking and McCulloch-pitts agents
AU - Saggie, Keren
AU - Keinan, Alon
AU - Ruppin, Eytan
N1 - Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2003.
PY - 2003
Y1 - 2003
N2 - This paper investigates the evolution of evolved autonomous agents that solve a memory-dependent delayed response task. Two types of neurocontrollers are evolved: networks of McCulloch-Pitts neurons, and spiky networks, evolving also the parameterization of the spiking dynamics. We show how the ability of a spiky neuron to accumulate voltage is utilized for the delayed response processing. We further confront new questions about the nature of "spikiness", showing that the presence of spiking dynamics does not necessarily transcribe to actual spikiness in the network, and identify two distinct properties of spiking dynamics in embedded agents. Our main result is that in tasks possessing memory-dependent dynamics, neurocontrollers with spiking neurons can be less complex and easier to evolve than neurocontrollers employing McCulloch-Pitts neurons. Additionally the combined utilization of spiking dynamics with incremental evolution can lead to the successful evolution of response behavior over very long delay periods.
AB - This paper investigates the evolution of evolved autonomous agents that solve a memory-dependent delayed response task. Two types of neurocontrollers are evolved: networks of McCulloch-Pitts neurons, and spiky networks, evolving also the parameterization of the spiking dynamics. We show how the ability of a spiky neuron to accumulate voltage is utilized for the delayed response processing. We further confront new questions about the nature of "spikiness", showing that the presence of spiking dynamics does not necessarily transcribe to actual spikiness in the network, and identify two distinct properties of spiking dynamics in embedded agents. Our main result is that in tasks possessing memory-dependent dynamics, neurocontrollers with spiking neurons can be less complex and easier to evolve than neurocontrollers employing McCulloch-Pitts neurons. Additionally the combined utilization of spiking dynamics with incremental evolution can lead to the successful evolution of response behavior over very long delay periods.
UR - http://www.scopus.com/inward/record.url?scp=7444233556&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-39432-7_22
DO - 10.1007/978-3-540-39432-7_22
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AN - SCOPUS:7444233556
SN - 3540200576
SN - 9783540200574
T3 - Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
SP - 199
EP - 208
BT - Advances in Artificial Life
A2 - Banzhaf, Wolfgang
A2 - Ziegler, Jens
A2 - Christaller, Thomas
A2 - Dittrich, Peter
A2 - Kim, Jan T.
PB - Springer Verlag
T2 - 7th European Conference on Artificial Life, ECAL 2003
Y2 - 14 September 2003 through 17 September 2003
ER -