2D artificial life system using network-type assembly-like language: influence of change in environment with costs of instructions |
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Authors: | Yuhki Shiraishi Fumiaki Takeda |
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Affiliation: | (1) Research and Development Center of Intelligent Recognition System, Research Institute of Kochi University of Technology, 185 Miyanokuchi, Tosayamada-cho, Kami, Kochi 782-0034, Japan;(2) Department of Intelligent Mechanical Systems Engineering, Kochi University of Technology, Kochi, Japan |
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Abstract: | To unlock the full potential of evolution in digital media, a Tierra-like system using network-type assembly-like language
has been constructed. In the system, like Avida, digital creatures, self-replicating programs, live in a discrete 2D torus
space and an interaction between creatures is restricted locally. Bearing a genetic network in mind, network structure is
introduced. In the previous works, it is shown that the possibility that the network-type model has more potential of evolution
than a linear-type model like Avida in a simple environment. In this paper, to study the potential of evolution more precisely,
we model the effects of environment other than creatures. As one of the simplest models of such environment, the cost of execution,
i.e. executing time, is introduced. The difficult environment to live in costs high to execute instructions, the easy environment
does low. In computer experiments, we have investigated the influence of change in environment by analyzing the process of
evolution and diversity of the system. Experimental results show that the network-type system keeps more stable diversity
than the linear-type system does, even when the environment changes drastically. This indicates the possibility that the network-type
system has more potential of evolution than the linear-type system has.
This work was presented in part at the 13th International Symposium on Artificial Life and Robotics, Oita, Japan, January
31–February 2, 2008 |
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Keywords: | Self-replication Evolvability Network structure Diversity Redundancy |
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