Interaction Dictionary

A wide range of operational scenarios matter to people.

For the livelihood and work processes involving people and their institutions, we refer to the activity wiki. It provides a classification of activities found in socio-technical and bio-physical dynamics. Usually these activities involve human intervention, or interventions by equipment programmed by people to ensure conditions in a livelihood or workplace.

Adopting a methodology-focus, the key scenarios are concerned with intellectual strategies to ensure efficient, effective and expressive conversion of knowledge about workplaces or livelihoods, during operations, monitoring and evaluation, programmatic and project execution activities.

The scenarios addressed are:

• Ontological Stratification: This is the partitioning of (conceptualization of) a system’s environment into several disjoint spaces (or strata) according to the identity criteria used to conceptualize the entities in these spaces, and according to the possible behaviours of these entities. The strata proposed are: material, data, concept, subject (intentional entity) and legal. Their joint use has been demonstrated in a study on openness in agent systems [1].

• Epistemic Stratification: This form of stratification reflects that different disciplines adopt different epistemic commitment, as evident from variations in term choices. It implies for each discipline an ontological and epistemological positioning [2].

• Sectoral Stratification: This form of stratification reflects the various industrial sectors that exist in the socio-industrial eco-system. Examples can range from Automobile and Aerospace, over financial sector, to Travel and Tourism. Also in the ICT world the effects of sectoral stratification are evident, see for instance the ICT-related standards per sector from ISO.

These forms of stratification create a following picture:

• Grounding:

References
[1] Abramov et al, 2003.
[2] Halldórsson & Aastrup, 2003
In computational statistics, stratified sampling is a method of variance reduction.

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