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Evolving An Artificial Homeostatic System
Registro en:
3540881891; 9783540881896
Lecture Notes In Computer Science (including Subseries Lecture Notes In Artificial Intelligence And Lecture Notes In Bioinformatics). , v. 5249 LNAI, n. , p. 278 - 288, 2008.
3029743
10.1007/978-3-540-88190-2-33
2-s2.0-57049188422
Autor
Moioli R.C.
Vargas P.A.
Von Zuben F.J.
Husbands P.
Institución
Resumen
Theory presented by Ashby states that the process of homeostasis is directly related to intelligence and to the ability of an individual in successfully adapting to dynamic environments or disruptions. This paper presents an artificial homeostatic system under evolutionary control, composed of an extended model of the GasNet artificial neural network framework, named NSGasNet, and an artificial endocrine system. Mimicking properties of the neuro-endocrine interaction, the system is shown to be able to properly coordinate the behaviour of a simulated agent that presents internal dynamics and is devoted to explore the scenario without endangering its essential organization. Moreover, sensorimotor disruptions are applied, impelling the system to adapt in order to maintain some variables within limits, ensuring the agent survival. It is envisaged that the proposed framework is a step towards the design of a generic model for coordinating more complex behaviours, and potentially coping with further severe disruptions. © 2008 Springer Berlin Heidelberg. 5249 LNAI
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