Collective Agency and Cooperation in Natural and Artificial Systems

Novel varieties of interplay between humans, robots and software agents are on the rise. Computer-based artefacts are no longer mere tools but have become interaction partners. Distributed problem solving and social agency may be modelled by social computing systems based on multi-agent systems. MAS and agent-based modelling approaches focus on the simulation of complex interactions and relationships of human and/or non-human agents. MAS may be deployed both in virtual environments and cyber-physical systems. With regard to their impact on the physical environment, such systems possess a virtual actuality in a testbed. They have a real actuality when they are employed in real time in order to govern processes in the natural world. Constellations of inter-agency and distributed agency materialize. This paper presents a multidimensional, gradual classification framework for individual and joint agency. Activity level, adaptivity, interaction and personification of others are essential dimensions. The framework allows constellations of distributed and collective agency in socio-technical systems to be analysed in detail. Scenarios where solely humans act can be compared to testbed simulations based on this classification scheme