Cognitive dimensions of public space
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Date
2016
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Uniwersytet im. A. Mickiewicza w Poznaniu Wydział Nauk Społecznych, Instytut Filozofii UAM
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Abstract
The paper presents a new approach to cognitive aspects
of public space based on the Bayesian framework for cognition.
According to it, cognition is powered by hypothesis-testing brain,
constantly minimizing its prediction error. Expectations the brain
generates can be analyzed at three different levels of organization:
(1) neural implementation, comprising of three distinctive cortical
networks, (2) mental computation, consisting of three parts
of the Bayes’ rule, and (3) social behavior inside three different
social networks. Properly designed the public space can be part
of the extended mind of its inhabitants, enhancing or substituting
their brains’ activity.
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Keywords
Bayesian brain, predictive mind, salience network,, central executive network, default mode network, extended mind
Citation
Filozofia Publiczna i Edukacja Demokratyczna, 2016, Tom 5, Nr 2, s. 157-170.
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2299-1875