The Self-Organisation of the Information Society 1: Self ... · The Self-Organisation of the...

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The Self-Organisation of the Information Society 1: Self-Organisation in Real-World Systems IN3 Research Seminar April 27, 2010 Wolfgang Hofkirchner Professor, Internet and Society, University of Salzburg, 2004-2010 Associate Professor, Technology Assessment, Vienna University of Technology, 2001-

Transcript of The Self-Organisation of the Information Society 1: Self ... · The Self-Organisation of the...

Page 1: The Self-Organisation of the Information Society 1: Self ... · The Self-Organisation of the Information Society 1: Self-Organisation in Real-World Systems IN3 Research Seminar April

The Self-Organisation of the Information Society 1:Self-Organisation in Real-World Systems

IN3 Research Seminar April 27, 2010

Wolfgang HofkirchnerProfessor, Internet and Society, University of Salzburg, 2004-2010Associate Professor, Technology Assessment, Vienna University of Technology, 2001-

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Contents

•TransdisciplinarityMulti-, inter-, mono-, and transdisciplinarity

•Self-Organisation. Evolutionary Systems Theory (EST)DefinitionIrreproducibility, irreversibility and irreducibility, and unexplainability/unpredictability

•Information. Unified Theory of Information (UTI)DefinitionTriple-C (Cognition – Communication – Cooperation)Stages (pattern formation, code-making, constitution of sense)The universe of information

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Transdisciplinarity

• Multi-, inter-, mono-, and transdisciplinarity (disjunctivism, disjunctivism with interaction, reductionism or projectivism, and integrativism)

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Multidisciplinarity

engineering sciences(e.g. Computer Science)

social and human sciences(e.g. Communication Studies)

Disjunctivism:Internet researchas additivefunction

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Interdisciplinarity

engineering sciences(e.g. Computer Science)

social and human sciences(e.g. Communication Studies)

Disjunctivism with interaction:Internet researchas ephemeral relationship

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Monodisciplinarity

engineering sciences(e.g. Computer Science)

social and human sciences(e.g. Communication Studies)

Reductionism,Projectivism:Internet researchas subsumptionunder one orthe otherdiscipline

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Transdisciplinarity

engineering sciences(e.g. Computer Science)

social and human sciences(e.g. Communication Studies)

Integrativism:Internet researchas transdiscipline

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Transdisciplinarity

engineering sciences(e.g. Computer Science)

social and human sciences(e.g. Communication Studies)

Integrativism:Internet researchas transdiscipline

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Transdisciplinarity

engineering sciences(e.g. Computer Science)

social and human sciences(e.g. Communication Studies)

Integrativism:Internet researchas transdiscipline

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Transdisciplinarity

engineering sciences(e.g. Computer Science)

social and human sciences(e.g. Communication Studies)

Integrativism:Internet researchas transdiscipline

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Transdisciplinarity

engineering sciences(e.g. Computer Science)

social and human sciences(e.g. Communication Studies)

Integrativism:Internet researchas transdiscipline

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Transdisciplinarity

engineering sciences(e.g. Computer Science)

social and human sciences(e.g. Communication Studies)

meta-level

general

specific

Integrativism:Internet researchas transdiscipline

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Transdisciplinarity

what is this third something?science of complexity

– because complex problems of the information age need complex thinking!

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Self-organisation. Evolutionary Systems Theory (EST)

•Definition: basic dynamics, example, determinism, evolution, systemic hierarchy, stage model

•Irreproducibility, irreversibility and irreducibility, and unexplainability/unpredictability

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Definition

Self-organisation =def. spontaneous build-up/maintenance of order in matter (nature, real-world systems)

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low-entropic energy

high-entropic energy

self-organisation

Definition: basic dynamics

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Definition: example

Bénard convection cells:

in viscous liquids, beyond a critical temperature gradient microscopic conduction turns into macroscopic convection rolls (Ilya Prigogine)

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Definition: example

Bénard convection cells:

in viscous liquids, beyond a critical temperature gradient microscopic conduction turns into macroscopic convection rolls (Ilya Prigogine)

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space of possibilities

space of impossibilities

Definition: determinism

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space of possibilities

narrowed downto one trajectory

only

space of impossibilities

Definition: determinism

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self-organisation

higher complexity

lower complexity

Definition: evolution

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Definition: evolution

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organisation

self-organisation

components

Definition: systemic hierarchy

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system (macro-level)

elements (micro-level)

downwardcausation

upward causation

Definition: systemic hierarchy

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Definition: stage model

process

discontinuation

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Definition: stage model

metasystem/suprasystem

process (phases)

structure (levels)

discontinuation/continuation

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Definition: stage model

physico-chemical phase

biotic phase social phase

social level

biotic level

physico-chemicallevel

material systems

living systems

human systems

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Irreproducibility

• There is no simple, "brute-force" operation that leads human interveners from a given initial state of the system to a well-defined, desired final state of the system.

New way of dealing with complexity:

• Governance: make use of the system's dynamic: choose inputs so as to activate or inhibit self-organisation (but don't damage it)!

• Decentralised context-steering: make use of the system's architecture: grant relative autonomy and shape the general set-up only (don't instruct down to every detail)!

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Irreversibility, Irreducibility

• There is no simple, causal transformation that leads the system with necessity from one state to another.

New way of conceiving complexity:

• Historicity: model the path-dependency such that each phase depends on the prior phase but cannot be reversed!

• Holarchy: model the hierarchy such that each level depends on the lower one but cannot be reduced to it!

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Unexplainability/unpredictability

• There is no simple, deductive inference that leads compellingly from premises about the system in one state (or systems) – or about one system layer – to a conclusion about the system in another state (or a metasystem) – or about another system layer.

New way of constructing knowledge of complexity:

• Leaps in quality in time: it needs saltations when going from one state of a system to the next state (or from systems to the metasystem)!

• Leaps in quality in space: it needs saltations when going from one system layer to the next layer!

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Information. Unified Theory of Information (UTI)

•Definition

•Triple-c: cognition, communication, cooperation

•Stages: pattern formation, code-making, the constitution of sense

•The universe of information

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Definition

Information =def. relation that is constituted (1) by a self-organising system (which is the signmaker: signator) between (2) the order it builds up spontaneously (which is the sign: signans) and (3) some perturbation (which is the (to-be-) signified: signandum/signatum) originating in

• the umwelt: cognition;

• co-systems: communication;

• the system all the co-systems give rise to: cooperation.

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Triple-c

According to the systems dimensions we find different fields in which information generation occurs: system dimension

information generation fields

one element for itself cognition

the interaction of elements communication

the integration of elements with the system cooperation

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signatum

signans

signator

assimilation(subjection)

non-affordance(objection)

accommodation

Cognition

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Communication

„message“ A(inter-subjectification A)

„message“ B(inter-subjectification B)

signator B = signatum A

signator A = signatum B

signans

signans

„information“ A

„information“ B

understanding B

understanding A

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signator

signans

signata

stabilisation(subjectification)

selection(objectification)

variation

Cooperation

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Stages

According to stages of evolution we find different types of generating information:

evolutionary system stages

information generation types

material systems pattern formation

living systems code-making

human systemsconstitution of sense

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pattern formation

low-entropic energy

high-entropic energy

self-organisation

prot

o-se

mio

sic

sign

Pattern formation

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low-entropic energy

high-entropic energy

struc-ture function

para

-syn

tact

ical

sig

n

sem

antic

o-pr

agm

atic

sig

n

code-making

Code-making

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low-entropic energy

high-entropic energy

means ways ends

synt

actic

al s

ign

sem

antic

sig

n

prag

mat

ic s

ign

constitution of sense

The constitution of sense

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ability to form patterns

code-making ability

sense-con-stituting ability

cooperativity cohesiveness organicity sociability

communicability coherency signalability languageability

cognisability reflectivity psyche consciousness

The universe of information

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