Seth, Anil (2007) Measuring autonomy by multivariate autoregressive modelling. In: 9th European Conference on Artificial Life, Lisbon, Portugal.
Full text not available from this repository.Abstract
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.
Item Type: | Conference or Workshop Item (Paper) |
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Schools and Departments: | School of Engineering and Informatics > Informatics |
Depositing User: | Anil Seth |
Date Deposited: | 06 Feb 2012 20:11 |
Last Modified: | 07 Jun 2012 15:30 |
URI: | http://sro.sussex.ac.uk/id/eprint/24538 |