main index

P00: frame around

P01: olicognography

P02: addictions

wayout:contact

Registers of application docs

early history of systemics

innovation

complexnetworks

graph

Similar user docs

block schemes modelling

human needs

complexnetworks

couplingrisks

Cybernetics in Human Sciences

3 Versions of Cybernetics


engineering c.

biological c.

social c.

view of epistemology

a realist view: knowledge is a “picture” of reality

a biological view of epistemology: how the brain functions

pragmatic view: knowledge is constructed to achieve human purposes

key distinction

reality vs theories

realism vs constructivism

biology of cognition vs the observer as a social participant

puzzle to be solved

construct theories that explain observed phenomena

include the observer within the domain of science

explain the relationship between the natural and the social sciences

what must be explained

how the world works

how an individual constructs a “reality”

how people create, maintain and change social systems through language and ideas

key assumption

natural processes can be explained by scientific theories

ideas about knowledge should be rooted in neurophysiology

ideas are accepted if they serve the observer’s purposes as social participant

important consequence

scientific knowledge can be used to modify natural processes to benefit people

if people accept constructivism, they will be more tolerant

by transforming conceptual systems (through persuasion, not coercion) we can change society.

Processes of systemic regulation


Feedback frameworks

Cybernetic

Social

Interactive

Feedback loop signs

Negative

Negative and positive

negative and positive

Message construct

Message linear

Message situational

Cognitive and situational

Nature of the feedback loop

Goal directed

Mutual causal

Human causal

Nature of the feedback framework

Mechanical

Organic/social

Cognitive/individual

Human-computer

Applicable scientific disciplines

Cybernetics

Social Sciences

Information retrieval

HCI

Domain of the systemic theories

from I to IV growing generality reducing constancy

Highest level of generalization Mathematical theories of abstract systems

System theories that intent to consider all systemic basic or fundamental characteristics

System theories with some results on general systems

System theories that generalize one or more, possibly not fundamental. Applied as usual

Special theories for special discipline

IV

III

II

II

I

No special sense. too general to produce a useful method.

Can be applied to all system at least finite. As a global method or possibly specific

Partially orientated system

Can be applied to a lot of systems in different areas

Lower level of generalization. Highly specific

Stepwise suggestive systems

Areas of system theories oriented to general systems

Systems for generalized theories

Special or specific system theories

Source: nfm

Places of use docs

complex.& regularity

professional ethics

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