TY - GEN
T1 - Study of inheritable mutations in von Neumann self-reproducing automata using the GOLLY simulator
AU - Yinusa, A.R.
AU - Nehaniv, C.L.
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PY - 2011
Y1 - 2011
N2 - This article involves the study of inheritable mutations in a von Neumann self-reproducing automaton, making use of the GOLLY cellular automata simulator. Multi-point mutations were done on the tape which holds the description of the self-reproducer so as to observe the effects over subsequent generations. Von Neumann said that 'Self reproduction includes the ability to undergo inheritable mutations as well as the ability to make another organism like the original.' One of the central models used to study self-reproduction is cellular automata. Evolution relies on sources of variability, such as the results of mutation. This occurs when a system reproduces itself with inheritable variation, resulting in possibly more complex offspring. Subsequent offspring generations may inherit complex attributes from the parent generation during reproduction, and this is shown here constructively.
AB - This article involves the study of inheritable mutations in a von Neumann self-reproducing automaton, making use of the GOLLY cellular automata simulator. Multi-point mutations were done on the tape which holds the description of the self-reproducer so as to observe the effects over subsequent generations. Von Neumann said that 'Self reproduction includes the ability to undergo inheritable mutations as well as the ability to make another organism like the original.' One of the central models used to study self-reproduction is cellular automata. Evolution relies on sources of variability, such as the results of mutation. This occurs when a system reproduces itself with inheritable variation, resulting in possibly more complex offspring. Subsequent offspring generations may inherit complex attributes from the parent generation during reproduction, and this is shown here constructively.
UR - http://www.scopus.com/inward/record.url?scp=80051608454&partnerID=8YFLogxK
U2 - 10.1109/ALIFE.2011.5954654
DO - 10.1109/ALIFE.2011.5954654
M3 - Conference contribution
AN - SCOPUS:80051608454
SN - 978-161284063-5
SP - 211
EP - 217
BT - IEEE SSCI 2011 - Symposium Series on Computational Intelligence - IEEE ALIFE 2011: 2011 IEEE Symposium on Artificial Life
PB - Institute of Electrical and Electronics Engineers (IEEE)
T2 - IEEE ALIFE 2011
Y2 - 11 April 2011 through 15 April 2011
ER -