Abstract
One of the most powerful metaphors we’ve found for understanding minds is to view them as networks—i.e. collections of interrelated, interconnected elements. The view of mind as network is implicit in the patternist philosophy, because every pattern can be viewed as a pattern in something, or a pattern of arrangement of something—thus a pattern is always viewable as a relation between two or more things. A collection of patterns is thus a pattern-network. Knowledge of all kinds may be given network representations; and cognitive processes may be represented as networks also; for instance via representing them as programs, which may be represented as trees or graphs in various standard ways. The emergent patterns arising in an intelligence as it develops may be viewed as a pattern network in themselves; and the relations between an embodied mind and its physical and social environment may be viewed in terms of ecological and social networks.
Co-authored with Matthew Ikle, Joel Pitt and Rui Liu.
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Notes
- 1.
The larger an ensemble is, she suggests, the more vivid it is as a conscious experience; an hypothesis that accords well with the hypothesis made in [Goe06b] that a more informationally intense pattern corresponds to a more intensely conscious quale—but we don’t need to digress extensively onto matters of consciousness for the present purposes.
- 2.
This has been observed in “model systems” consisting of neurons extracted from a brain and hooked together in a laboratory setting and monitored; measurement of such dynamics in vivo is obviously more difficult.
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Goertzel, B., Pennachin, C., Geisweiller, N. (2014). Local, Global and Glocal Knowledge Representation. In: Engineering General Intelligence, Part 1. Atlantis Thinking Machines, vol 5. Atlantis Press, Paris. https://doi.org/10.2991/978-94-6239-027-0_14
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DOI: https://doi.org/10.2991/978-94-6239-027-0_14
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