main index

P00: frame around

P01: olicognography

P02: addictions

wayout:contact

Registers of application docs

Mill's fallacies

coordination management

procedure biases

healthwealthWorldgap

Similar user docs

complex.& regular

analysis social way

von Neumann probability

social paradigms

Approaches in Social Analysis

Approaches of Objects

Systemic approach

Analytical approach

Simple or reductive approach

Complex or wholistic approach

Rely on interactions between elements

Isolated: focus on each elements

Divide to study

Consider unity of the whole

Study the effects of interactions

Study the nature of interactions

Study the parts (structure and function).

Examine the meaning of a general utility

Suggest a global approach

Propose an approach by details

Suggest a separate approach

Proposed trust, autonomy and care (delegation)

Study simultaneously

Groups of variables

Change one variable at a time

Experimental, prepared and controlled

Ethological, empirical and contextual

Integer time through duration and limits (irreversibility)

Is independent of duration (reversibility of phenomena)

According a too much simple scale of time (so as mostly physical and intermediate: not relative nor social)

Social scale too complicated to well refer to scale.

Propose a validation of facts comparing models and evidence of processes

Propose a validation of facts experimenting and deducing theory

Propose validation of facts by models and data from experiments.

Propose a theory as a whole and need minimum deduced conditions of accomplishment.

Ability to detail

Failure in explaining the whole

Problems with aggregation and truncation

False simplification and problems with truth.

Models can be use for actions and decision

Models are too precise and detailed then useless for action

Sums or products are simple

(rational, Euclidean or Cartesian)

Programmings are self-limiting so can be theoretical constructions.

Approach is efficient when interactions are strong (but non linear and incomplete)

Efficient when interactions are: linear and/or weak.

Doing well if complexity is individually assumed, for a common exact goal

Working well in oriented field systemic use of whatever dynamic that can appear.

The approach tends to an action with major objectives.

The approach tend to action programmed by details

Tend to diversify the objective, not so economic, for to maintain the control and goals.

Indeterminist, unpredictability

Knowledge of ends (final state) is precise, that of details is fuzzy

Knowledge of ends is fuzzy, that of details are essential.

Ends and means are supposed to be very precise

Criteria of ends and means are except for being socially positive or moral

Source:anfm

Places of use docs

learningdesign

modelsofthinking

analogyrelations

optimization