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Measuring autonomy by multivariate autoregressive modelling

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posted on 2023-06-26, 07:13 authored by Anil SethAnil Seth
I introduce a quantitative measure of autonomy based on a time series analysis adapted from 'Granger causality'. A system is considered autonomous if prediction of its future evolution is enhanced by considering its own past states, as compared to predictions based on past states of a set of external variables. The proposed measure, Gautonomy, amplifies the notion of autonomy as 'self-determination'. I illustrate G-autonomy by application to example time series data and to an agent-based model of predator-prey behaviour. Analysis of the predator-prey model shows that evolutionary adaptation can enhance G-autonomy.

History

Publication status

  • Published

ISSN

0302-9743

Volume

4648

Pages

10

Presentation Type

  • paper

Event name

9th European Conference on Artificial Life

Event location

Lisbon, Portugal

Event type

conference

ISBN

978-3-540-74912-7

Department affiliated with

  • Informatics Publications

Full text available

  • No

Peer reviewed?

  • Yes

Editors

LM Rocha, A Coutinho, FAE Costa, Inman Harvey, E Costa

Legacy Posted Date

2012-02-06

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