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Zalamea NYC and a Philosophy of Networks

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Christopher Vitale

on 24 October 2015

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Transcript of Zalamea NYC and a Philosophy of Networks

A Philosophy of Networks
Philosophy as Networking, Everything in our
Worlds
of Experience and Meanigful
Realities
can be undstood as networks of networks, composed of
nodes, links, grounds,
and
levels
of networks
Networkological Basics
A Networkological Worldview: If all is Seen as Immanent, Relational, Refractive, Emergent
Beyond dualisms of subject/object, mind/matter, signifier/signified, reason/unreason, epist/ethics/ontology
Relational Metaleptic Meanings: Complexity, Emergence, Robustness, Thinking
Complexity:
The potential to emerge into greater complexity by means
of self-differentiating and coming into sync, the potential for self-differentiation and sync, congealed emergence, the stuff of experience in its most dormant forms
Links to Zalamea/Grothendieck
Zalamea on Grothendieck Seminar NYC and a Philosophy of Networks
Node: Principle of
Immanence
Link: Principle of
Relation
Ground: Principle of
Refraction
Level: Principle of
Emergence
Paradoxical
(Un)limits
of networks (obstacles/conditions of possibility):

- Nodes: only determined by what they exclude (incompletion)

- Links: nodes intersetions of links, links extended nodes, grounds full of networks (inconsistency)

- Grounds: Neither fully inside/outside networks (indeterminacy/incoherence)

- Levels: Fractality/Holography of networks, opens onto self-differening/sync emergence
Networks are
virtual reality

lenses
on the
world, whereby the world can looks
networkedly back,
as
representative, represented,
and
representing
Spacetime, Affects, Languages, Economies, Quatum Phenom,
Organisms, Meaning, Ideas, all networks
Networkological thinking is a
descriptive philosophy
, beyond relativism and absolutism/certainty, justification is only ever a
virtual reality/metaleptic
process of networking, whereby the
future
can be networked to the
past
in process of
recreation/rediscovery of present
Builds on Complex Systems Science, Graph Theory, "Soft" Computing, Artificial Neural Networks/Cog Neurosci (Show How Thinking Is Emergent Sync/Networking Beyond Mind/Matter Dualisms)
All networks are
worlds
of
experience
,
languages
of
meanings
,
machinic economies
of
value
,
and embodied
brains
of
thinking
Recontextualized: Excluded middle, linear
historiography, binary/atomistic thinking,
metaphysics of closure, etc.
Network
Topologies
of
Centralizing
,
Decentralizing
, and
Distributed
allow relative determinations of meaning, value, and thinking relative to metaleptic primary orienting maxim of netwrork ethics
Network Ethics: "Let All Your Networks Operate at Maximum Robustness"
Robust/Sustainable Emergence of Complexity:
Diversity
of Materials, Distributed
Intertwining
, Energetic
Metastability
,
Feedback
towards Sync, Emergence Beyond Sum of Parts
General
Semiotic Machinology
,
Postanarchist
political economics,
Theophanic Pantheistic
Post-theology, Beyond traditional divisions between artistic creation/philosophical thinking/scientific disovery, towards post-networkological futures
Beyond analytic/synthetic
excluded middle, relativism/absolutism
creation/discovery, other dualisms
General semiosis
Recasting of general as relative,
non-separation
View all as mixtures, multiplicities
Work to sheafify atomized domains in contemporary culture to create/discover new pathways for culture
Critique of
Overreifying/Centralizing
networks
in
conservative
or
cancerous
forms, towards
distributed
, self/other potentiating, emergent,
robust complexity
Beyond postmodern skepticisms, post-structuralist impasses, (neo)traditional conservative absolutisms, contemporary cancerous over-reifications
Emergence:
The coming into sync of aspects of complexity in and through differentiation in conditions of energetic metastability and multivalent feedback, or complexity in the process of complexification into further complexity, the stuff of the world in active development
Robustness:
The sustainable emergence of complexity
Thinking
:
Networking/Sync which potentiates
the Complex Emergence of Robustness
A network is anything composed of aspects/
nodes
,
linked
to each other, against a
ground
, at potentially infinite
levels
of scale.
Self-Differing Substance of
the one-and
manifesting in
the

four-and
of the network diagram

Process, Trans-
Seemingly Static
entities
really frozen
networks
in
process
Full transcript