Autonomous agency theory

Autonomous agency theory (AAT) is a viable system theory (VST) which models autonomous social complex adaptive systems. It can be used to model the relationship between an agency and its environment(s), and these may include other interactive agencies. The nature of that interaction is determined by both the agency's external and internal attributes and constraints. Internal attributes may include immanent dynamic "self" processes that drive agency change. Stafford Beer coined the term viable systems in the 1950s, and developed it within his management cybernetics theories. He designed his viable system model as a diagnostic tool for organisational pathologies (conditions of social ill-health). This model involves a system concerned with operations and their direct management, and a meta-system that "observes" the system and controls it. Beer's work refers to Maturana's concept of autopoiesis, which explains why living systems actually live. However, Beer did not make general use of the concept in his modelling process. In the 1980s Eric Schwarz developed an alternative model from the principles of complexity science. This not only embraces the ideas of autopoiesis (self-production), but also autogenesis (self-creation) which responds to a proposition that living systems also need to learn to maintain their viability. Self-production and self-creation are both networks of processes that connect an operational system of agency structure from which behaviour arises, an observing relational meta-system, this itself observed by an "existential" meta-meta-system. As such Schwarz' VST constitutes a different paradigm from that of Beer. AAT is a development of Schwarz' paradigm through the addition of propositions setting it in a knowledge context. AAT is a generic modelling approach that has the capacity to anticipate future potentials for behaviour. Such anticipation occurs because behaviour in the agency as a living system is "structure determined", where the structure itself of the agency is responsible for that anticipation.