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This paper is concerned with the characteristic mode of biological control, termed compound control, which realizes the adapability to a wide variety of environments and to administer appropriate regulations. We first propose two basic main features of compound control. One is the computational media whose spatial and temporal combinations constitute complex biological regulations in response to diverse...
In this study, we proposed the method of inference of genetic networks which expresses the regulation of genes. The proposed method does not solve the differential equations, learns the genetic networks using product-unit-neural-network (PUNN) and infer the S-system model of genetic networks which describes a set of differential equations. The experimental results show the proposal method is 160 times...
Tacit learning is a new machine learning paradigm that attempts to implement the superb adaptation capability of living organisms to unexpected environmental changes. It emphasizes body/environment interactions and is equipped with some elementary sets of action rules and appropriate initial conditions of the neural states that correspond to elementary survival reflexes. Along this line, we propose...
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