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'Seeing the Dark': Grounding Phenomenal Transparency and Opacity in Precision Estimation for Active Inference
Jakub Limanowski1, Karl Friston1
1The Wellcome Centre for Human Neuroimaging, Institute of Neurology, University College London, London, United Kingdom.
Frontiers in Psychology
|May 22, 2018
Summary
This study explores phenomenal transparency and opacity using active inference. It links opacity to expected uncertainty and introspective attention, suggesting a nuanced view of minimal selfhood and agency.
Area of Science:
- Neuroscience
- Philosophy of Mind
- Cognitive Science
Background:
- The Self-model Theory of Subjectivity posits that subjective experience arises from a transparent phenomenal self-model reducible to brain processes.
- Distinguishing between phenomenally transparent and opaque states is crucial for understanding consciousness and selfhood.
Purpose of the Study:
- To investigate the distinction between phenomenally transparent and opaque states within the framework of active inference.
- To propose a novel relationship between phenomenal opacity, expected uncertainty, and introspective attention.
Main Methods:
- Utilizing active inference principles to model phenomenal transparency and opacity.
- Associating phenomenal opacity with the deployment of 'precision' for introspective attention.
- Defining transparency in relation to beliefs about action and self-agency.
Main Results:
- Phenomenal opacity is proposed to correlate with expected uncertainty or precision, enabling introspective attention.
- Introspective attention is linked to the use of precision, potentially making perceptual evidence opaque.
- Transparency is characterized as a fundamental aspect of beliefs concerning one's own actions.
Conclusions:
- Active inference offers a framework to differentiate between phenomenal transparency and opacity.
- A nuanced understanding of minimal phenomenal selfhood and agency is required, informed by this active inference conception.
- The study suggests that the capacity for introspection and the nature of self-models are key to understanding subjective experience.