TY - GEN
T1 - A new cellular automaton
T2 - Proceedings of the 2004 Congress on Evolutionary Computation, CEC2004
AU - Chiang, Cheng Hsiung
AU - Chen, Liang Hsuan
PY - 2004
Y1 - 2004
N2 - In this paper, we propose a new cellular automaton, i.e. Five Elements Balance Chart, based on the theory of Five Elements, which is one of the most important parts of traditional Chinese philosophy. There are five kinds of basic elements in Five Elements Balance Chart, i.e. Wood, Fire, Earth, Metal, and Water. Ancient Chinese thought used the relations of creating and controlling within the Five Elements to analogize the relationship between all situations and beings. In the proposed method, each element can be regarded as a cell. The transition rules are constructed according to the principle of creating and controlling. Thus, these rules are simple and intuitive. A simulation model of the forest industry ecosystem is presented to demonstrate the proposed approach. The Five Elements Balance Chart can well evaluate the balance status of the ecosystem. It also can help us to predict the quantitative variations of each member in the ecosystem.
AB - In this paper, we propose a new cellular automaton, i.e. Five Elements Balance Chart, based on the theory of Five Elements, which is one of the most important parts of traditional Chinese philosophy. There are five kinds of basic elements in Five Elements Balance Chart, i.e. Wood, Fire, Earth, Metal, and Water. Ancient Chinese thought used the relations of creating and controlling within the Five Elements to analogize the relationship between all situations and beings. In the proposed method, each element can be regarded as a cell. The transition rules are constructed according to the principle of creating and controlling. Thus, these rules are simple and intuitive. A simulation model of the forest industry ecosystem is presented to demonstrate the proposed approach. The Five Elements Balance Chart can well evaluate the balance status of the ecosystem. It also can help us to predict the quantitative variations of each member in the ecosystem.
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M3 - Conference contribution
AN - SCOPUS:4344665978
SN - 0780385152
SN - 9780780385153
T3 - Proceedings of the 2004 Congress on Evolutionary Computation, CEC2004
SP - 1901
EP - 1908
BT - Proceedings of the 2004 Congress on Evolutionary Computation, CEC2004
Y2 - 19 June 2004 through 23 June 2004
ER -