Model-based generation of knowledge for autonomous systems

Abstract

In an organizational and behavioural context, autonomous systems consist of groups of people tied by the flow of information between a group and its external environment as well as within a group. A mathematical model is used to evaluate such an information flow. The evaluation is performed for different types of external and internal environments. Two major cases are taken into account, i.e. static and dynamic processes describing the external environment. Such issues as the role of correlation and interaction, and the losses caused by incomplete and delayed information are addressed. The results of the model-based evaluation of an information flow in different decision situations are formulated as IF [tdot] AND [tdot] THEN rules that provide some useful knowledge about functioning of autonomous groups. Generation of such knowledge is an important factor in successful implementation of some ideas related to atomized organizations. The concepts included in the model are illustrated with an example providing interpretation and relationship with real situations