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.
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Ray TS (1995) An evolutionary approach to synthetic biology: zen and the art of creating life. Artificial life: an overview, The MIT Press, pp 179–209
Ray TS, Hart JF (2000) Evolution of differentiation in multithreaded digital organisms. In: Proceedings of the Seventh International Conference on Artificial Life (Artificial Life VII), The MIT Press, pp 132–140
Bedau MA, McCaskill JS, Packard NH, et al (2000) Open problems in artificial life. In: Artificial Life, vol.6, no.4, The MIT Press, pp 363–376
Shiraishi Y, Hirasawa K, Hu J, et al (2002) The basic study of artificial ecosystem models using network-type assembly-like language. In: Proceedings of Genetic and Evolutionary Computation Conference (GECCO 2002), Late Breaking Papers, pp 412–418
Shiraishi Y, Hirasawa K, Hu J, et al (2004) The basic study of artificial ecosystem models using network-type assembly-like language (in Japanese). IEEJ Trans EIS 124(2): 418–424
Shiraishi Y, Hirasawa K, Hu J, et al (2003) 2D artificial life system using network-type assembly-like language: a comparative study with linear-type assembly-like language. In: Proceedings of the Eighth International Symposium on Artificial Life and Robotics (AROB 8th), pp 669–672
Adami C, Brown CT (1994) Evolutionary learning in the 2D artificial life system “Avida”. In: Proceedings of the Fourth International Workshop on the Synthesis and Simulation of Living Systems (Artificial Life IV), The MIT Press, pp 377–381
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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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Shiraishi, Y., Takeda, F. 2D artificial life system using network-type assembly-like language: influence of change in environment with costs of instructions. Artif Life Robotics 13, 199–202 (2008). https://doi.org/10.1007/s10015-008-0529-1
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DOI: https://doi.org/10.1007/s10015-008-0529-1