Measuring autonomy and emergence via Granger causality

Artificial Life

Volumn 16, Issue 2, 2010, Pages 179-196

  Seth, Anil K ^a  

^a UNIVERSITY OF SUSSEX   (United Kingdom)

Author keywords

Autonomy; Consciousness; Emergence; Evolution; Flocking; Granger causality

Indexed keywords

ARTIFICIAL LIFE; AUTONOMOUS AGENTS; BEHAVIORAL RESEARCH; COMPUTATIONAL METHODS; REGRESSION ANALYSIS;

AUTONOMY; CONSCIOUSNESS; EMERGENCE; EVOLUTION; FLOCKING; GRANGER CAUSALITY;

STATISTICAL TESTS;

ADAPTATION; ARTICLE; EPIDEMIOLOGY; EVOLUTION;

ADAPTATION, PHYSIOLOGICAL; CAUSALITY; EVOLUTION;

EID: 77949475448     PISSN: 10645462     EISSN: 15309185     Source Type: Journal    
DOI: 10.1162/artl.2010.16.2.16204     Document Type: Article

References (48)

1. Akaike, H. (1974). A new look at the statistical model identification. IEEE Transactions on Automatic Control, 19, 716-723.
2. Allefeld, C., Atmanspacher, H., & Wackermann, J. (2009). Mental states as macrostates emerging from brain electrical dynamics. Chaos, 19, 015102.
3. Ancona, N., Marinazzo, D., & Stramaglia, S. (2004). Radial basis function approaches to nonlinear Granger causality of time series. Physical Review E, 70, 056221.
4. Atmanspacher, H., & beim Graben, P. (2009). Contextual emergence. Scholarpedia, 4, 7997.
5. Bar-Yam, Y (2004). A mathematical theory of strong emergence using multiscale variety. Complexity, 9, 15-24.
6. Bedau, M. (1997). Weak emergence. Philosophical Perspectives, 11, 375-399.
7. Bedau, M. (2003). Downward causation and the autonomy of weak emergence. Principia, 6, 5-50.
8. Bedau, M. (2008). Is weak emergence just in the mind? Minds and Machines, 18, 443-459.
9. Bertschinger, N., Olbrich, E., Ay, N., & Jost, J. (2008). Autonomy: An information theoretic perspective. Biosystems, 91, 331-345.
10. Boden, M. (1996). Autonomy and artificiality. In M. Boden (Ed.), The philosophy of artificial life (pp. 95-108). Oxford, UK: Oxford University Press.
11. Broad, C. (Ed.) (1925). The mind and its place in nature. Oxford, UK: Routledge and Kegan Paul.
12. Chalmers, D. (2006). Strong and weak emergence. In P. Clayton & P. Davies (Eds.), The re-emergence of emergence. Oxford, UK: Oxford University Press.
13. Chang, H. (2004). Inventing temperature: Measurement and scientific progress. Oxford, UK: Oxford University Press.
14. Crutchfield, J. (1994). The calculi of emergence: Computation, dynamics, and induction. Physica D, 75, 11-54.
15. Crutchfield, J. P., & Young, K. (1989). Inferring statistical complexity. Physical Review Letters, 63, 105-108.
16. Ding, M., Chen, Y., & Bressler, S. (2006). Granger causality: Basic theory and application to neuroscience. In S. Schelter, M. Winterhaider, & J. Timmer (Eds.), Handbook of time series analysis (pp. 438-460). New York: Wiley.
17. Edelman, G. (2003). Naturalizing consciousness: A theoretical framework. Proceedings of the National Academy of Sciences of the U.S.A., 100, 5520-5524.
18. Geweke, J. (1982). Measurement of linear dependence and feedback between multiple time series. Journal of the American Statistical Association, 77, 304-313.
19. Granger, C. (1969). Investigating causal relations by econometric models and cross-spectral methods. Econometrica, 37, 424-438.
20. Granger, C. (1980). Testing for causality: A personal viewpoint. Journal of Economic Dynamics and Control, 2, 329-352.
21. Gregoire, G., Chate, H., & Tu, Y. (2003). Moving and staying together without a leader. Physica D, 181, 151-170.
22. Guo, S., Seth, A., Kendrick, K., Zhou, C., & Feng, J. (2008). Partial Granger causality: Eliminating exogenous inputs and latent variables. Journal of Neuroscience Methods, 172, 79-93.
23. Haggard, P. (2008). Human volition: Towards a neuroscience of free will. Nature Reviews Neuroscience, 9, 934-946.
24. Hamilton, J. (1994). Time series analysis. Princeton, NJ: Princeton University Press.
25. Jackson, F., & Pettit, P. (1992). In defence of explanatory ecumenism. Economics and Philosophy, 8, 1-21.
26. Kaminski, M., Ding, M., Truccolo, W., & Bressler, S. (2001). Evaluating causal relations in neural systems: Granger causality, directed transfer function and statistical assessment of significance. Biological Cybernetics, 85, 145-157.
27. Kim, J. (1999). Making sense of emergence. Philosophical Studies, 95, 3-36.
28. Libet, B. (1985). Unconscious cerebral initiative and the role of conscious will in voluntary action. Behavioral and Brain Sciences, 8, 529-566.
29. Maturana, H., & Varela, F. (1980). Autopoiesis and cognition: The realisation of the living. Dordrecht, The Netherlands: D. Reidel.
30. Moreno, A., Etxeberria, A., & Umerez, J. (2008). The autonomy of biological individuals and artificial models. Biosystems, 91, 309-319.
31. Polani, D. (2006). Emergence, intrinsic structure of information, and agenthood. Interjoumal Complex Systems, 1937.
32. Popper, K., & Eccles, J. (1977). The self and its brain. Berlin: Springer.
33. Reynolds, C. (1987). Flocks, herds, and schools: A distributed behavioral model. Computer Graphics, 21, 25-34.
34. Rosslenbroich, B. (2006). The notion of progress in evolutionary biology. The unresolved problem and an empirical suggestion. Biology and Philosophy, 21, 41-70.
35. Schreiber, T. (2000). Measuring information transfer. Physical Review Letters, 85, 461-464.
36. Seth, A. (2005). Causal connectivity of evolved neural networks during behavior. Network: Computation in Neural Systems, 16, 35-54.
37. Seth, A. (2007). Granger causality. Scholarpedia, 2, 1667.
38. Seth, A. (2008). Causal networks in simulated neural systems. Cognitive Neurodynamics, 2, 49-64.
39. Seth, A. (2009). Explanatory correlates of consciousness: Theoretical and computational challenges. Cognitive Computation, 1, 50-63.
40. Seth, A. (2009). Functions of consciousness. In W Banks (Ed.), Springer Encyclopedia of Consciousness, Volume 1 (pp. 279-293). Berlin: Springer Verlag.
41. Seth, A. K. (2010). A MATLAB toolbox for Granger causal connectivity analysis. Journal of Neuroscience Methods, 186, 262-273.
42. Seth, A. K., & Edelman, G. (2009). Consciousness and complexity. In B. Meyer (Ed.), Springer Encyclopedia of Complexity and Systems Science, Vol.2 (pp. 1424-1443). Berlin: Springer Verlag.
43. Seth, A. K., Dienes, Z., Cleeremans, A., Overgaard, M., & Pessoa, L. (2008). Measuring consciousness: Relating behavioural and neurophysiological approaches. Trends in Cognitive Sciences, 12, 314-321.
44. Shalizi, C., & Moore, C. (2006). What is a macrostate: Subjective observations and objective dynamics. http://arxiv.org/abs/condmat/0303625.
45. Tononi, G., & Edelman, G. (1998). Consciousness and complexity. Science, 282, 1846-1851.
46. van Gulick, R. (2001). Reduction, emergence and other recent options on the mind-body problem. Journal of Consciousness Studies, 8, 1-34.
47. Varela, F. (1979). Principles of biological autonomy. Burlington, MA: Elsevier.
48. Vicsek, T., Czirok, A., Ben-Jacob, E., Cohen, I., & Shochet, O. (1995). Novel type of phase transition in a system of self-driven particles. Physical Review Letters, 75, 1226.