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--- proyectos:tfg:bibliografia:albantakis2017 [2017/11/08 02:19]
Joaquín Herrero Pintado
+++ proyectos:tfg:bibliografia:albantakis2017 [2017/11/15 09:48] (actual)
Joaquín Herrero Pintado
@@ Línea 2: / Línea 2: @@
 en Imari Walker, S. (ed), 2017, From Matter to Life – Information and Causality
+LARISSA ALBANTAKIS is a postdoctoral researcher with Giulio Tononi at the
+Department of Psychiatry at University of Wisconsin–Madison. She
+received her degree in physics with distinction at the LudwigMaximilians
+Universitt, Munich, followed by a Ph.D. in computational
+neuroscience at the Universitat Pompeu Fabra, Barcelona, under the
+supervision of Gustavo Deco. Her research focuses on the theoretical
+formulation of the integrated information theory of consciousness and its
+implications for evolutionary adaptation, emergence, and meaning.
+In Chapter 14 by Albantakis and
+Tononi, who consider the distinction between ‘being’ and ‘happening’,
+utilising cellular automata (CA) as a case study. Most prior work on
+dynamical systems, including CA, focuses on what is ‘happening’ – the
+dynamical trajectory of the system through its state space – that is, they take
+an extrinsic perspective on what is observed. Often, complexity is
+characterised using statistical methods and information theory. In a shift of
+focus to that of causal architecture, Albantakis and Tononi consider what the
+system ‘is’ from its own intrinsic perspective, utilising the machinery of
+integrated information theory (IIT), and demonstrate that intrinsic (causal)
+complexity (as quantified by integrated information Φ in IIT) correlates well
+with dynamical (statistical) complexity in the examples discussed. These and
+similar approaches could provide a path forward for a deeper understanding of the connection between causation and information as hinted at in the
+beginning of this chapter.

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