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Evolving an Artificial Homeostatic System

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posted on 2023-06-08, 07:30 authored by Renan C Moioli, Patricia A Vargas, Fernando J Zuben, Phil HusbandsPhil Husbands
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.

History

Publication status

  • Published

ISSN

0302-9743

Publisher

SPRINGER-VERLAG BERLIN, HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY

Volume

5249

Pages

11.0

Presentation Type

  • paper

Event name

19th Brazilian Symposium on Artificial Intelligence

Event location

Federal Univ Bahia, Salvador, BRAZIL

Event type

conference

ISBN

978-3-540-88189-6

Department affiliated with

  • Informatics Publications

Notes

Book Series: LECTURE NOTES IN ARTIFICIAL INTELLIGENCE

Full text available

  • No

Peer reviewed?

  • Yes

Editors

G Zaverucha, A LoureiroDaCosta

Legacy Posted Date

2012-02-06

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