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Characterizing dynamic cognitive systems| title | Characterizing dynamic cognitive systems |
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| start_date | 2025/02/12 |
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| schedule | 17h-18h30 |
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| online | yes |
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| location_info | on zoom |
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| summary | In a recent paper, De Brigard (2017, Philosophical Explorations) argues that a successful neuroscientific account of “cognitive system” needs to capture the fact that brains change overtime (i.e., exhibit diachronic dynamicity) even when these changes do not affect their functional profile (i.e., exhibit functional stability).
Unfortunately, in that paper, he fails to offer a satisfactory account that can capture both features. To fill that gap, the current paper offers a graph-theoretic strategy to characterize cognitive systems in a way that captures both diachronic dynamicity and functional stability.
Specifically, it is suggested that cognitive systems can be characterized by way of employing a multi-scale modular approach in which time is parametrized. |
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| responsibles | Pradeu |
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Workflow history| from state (1) | to state | comment | date |
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| submitted | published | | 2025/02/06 10:02 UTC |
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