Measuring autonomy by multivariate autoregressive modelling

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4648 LNAI, Issue , 2007, Pages 475-484

  Seth, Anil K ^a  

^a UNIVERSITY OF SUSSEX   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

DATA REDUCTION; MATHEMATICAL MODELS; SET THEORY; TIME SERIES ANALYSIS;

AUTOREGRESSIVE MODELLINGS; EVOLUTIONARY ADAPTATION;

INTELLIGENT SYSTEMS;

EID: 38049000993     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-74913-4_48     Document Type: Conference Paper

References (15)

1. Akaike, H.: A new look at the statistical model identification. IEEE Trans. Autom. Control 19, 716-723 (1974)
2. Bertschinger, N., Olbrich, E., Ay, N., Jost, J.: Autonomy: an information theoretic perspective. Biosystems (in press)
3. Boden, M.A.: Autonomy and artificiality. In: Boden, M.A. (ed.) The philosophy of artificial life, pp. 95-108. Oxford University Press, Oxford (1996)
4. Chen, Y., Rangarajan, G., Feng, J., Ding, M.: Analyzing multiple nonlinear time series with extended Granger causality. Physics Letters A 324, 26-35 (2004)
5. Geweke, J.: Measurement of linear dependence and feedback between multiple time series. Journal of the American Statistical Association 77, 304-313 (1982)
6. Granger, C.W.J.: Investigating causal relations by econometric models and crossspectral methods. Econometrica 37, 424-438 (1969)
7. Hamilton, J.D.: Time series analysis. Princeton University Press, Princeton (1994)
8. Kaminski, M., Ding, M., Truccolo, W.A., Bressler, S.L.: Evaluating causal relations in neural systems: Granger causality, directed transfer function and statistical assessment of significance. Biological Cybernetics 85, 145-157 (2001)
9. Maturana, H., Varela, F.J.: Autopoiesis and cognition: The realization of the living. D. Reidel Publishing, Dordrecht (1980)
10. Moreno, A., Etxeberria, A., Umerez, J.: The autonomy of biological individuals and artificial models. Biosystems (in press)
11. Rosslenbroich, B.: The notion of progress in evolutionary biology. The unresolved problem and an empirical suggestion. Biology and Philosophy 21, 41-70 (2006)
12. Seth, A.K.: Causal connectivity of evolved neural networks during behavior. Network: Computation in Neural Systems 16, 35-54 (2005)
13. Seth, A.K.: Granger causality. Scholarpedia (submitted)
14. Seth, A.K., Edelman, G.M.: Distinguishing causal interactions in neural populations. Neural Computation 19, 910-933 (2007)
15. Varela, F.J.: Principles of biological autonomy. Elsevier, New York (1979)