This paper is a comprehensive presentation of a framework for the modeling, the simulation and the analysis of power relationships in social organizations, and more generally in systems of organized action. This framework relies on, and slightly extends, the Crozier and Freidber's sociology of organized action, which supports a methodology for understanding why, in an organizational context, people behave as they do. SocLab intends to complement the discursive statement of sociological analyses with a formal formulation easing the objectivization of findings. It consists of a meta-model of organizations, a model of bounded-rational social actors and analytical tools for the study of the internal properties of organizations.
This paper proposes a basis to design coordination models in multiagent systems. This proposal is based on the exploitation of an in-depth exploration of a well-experienced sociological theory, the Sociology of Organized Action. This theory intends to discover the functioning of an organization beyond its formal rules, especially how social actors define the organization that in return rules their behaviours, and which are the mechanisms they use to regulate their interactions. We then first present the concepts developed by this theory to understand the strategic aspects of the actors' behaviours in an organized actions framework. Then we introduce a metamodel that allows us to describe the structure of Concrete Action Systems and how social actors handle its elements. A classical case study is used to illustrate the approach.
In this paper, we propose to study the influence of different learning mechanisms of social behaviours on a given multi-agent model (Sibertin-Blanc et al., 2005). The studied model has been constructed from a formalization of the organized action theory (Crozier and Friedberg, 1977) and is based on the modelling of control and dependency relationships between resources and actors. The proposed learning mechanisms cover different possible implementations of the classifiers systems on this model. In order to compare our results with existing ones in a classical framework, we restrain here the study to cases corresponding to the prisoner's dilemma framework. The obtained results exhibit a variability about convergence times as well as emergent social behaviours depending on the implementation choice of classifiers systems and on their parameters. We conclude by analysing the sources of this variability and by giving perspectives about the use of such a model in broader cases.
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