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Agent-Cellular Automata

  • Xuewei Li
  • Jinpei Wu
  • Xueyan Li
Chapter

Abstract

In the previous two chapters (“Cellular Genetic Algorithm” and “Cellular Neural Networks”), we have seen that self-adaptive individuals distributed within the cellular lattice play roles of genes, chromosomes, and neurons respectively. The ability of learning among individual cells is strengthened, and at the same time the function of traditional artificial intelligence algorithm is realized. Next, we might as well consider this question—when individuals in the cellular space have different rules of evolution and learning, or they can move by themselves, or individual evolution rules change with time, can we give these individuals human characteristics such as emotions, beliefs, roles, consciousness, etc., and eventually make the space of cellular automata form a “real world” participated in by intelligent agents?

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Copyright information

© Beijing Jiaotong University Press and Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Beijing Union UniversityBeijingChina
  2. 2.Wuyi UniversityJiangmenChina
  3. 3.Beijing Jiaotong universityBeijingChina

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