Methodological Framework

This chapter introduces the resource agent maps (RAM) method and its application to qualitative and quantitative analyses and management of complex adaptive systems. These systems are characterized by socio-economic dynamics where agents compete for control over available resources, operating under condition-action rule patterns and dealing with incomplete or biased information. These systems and their evolution emerge through the interactions between resources and agents. The RAM method includes first, the development of a resource map, which maps key internal and external resources, their structure, influencing factors, and feedback interrelations. Second is the development of an agent map, containing both an agent interaction map (AiM), which maps key agents, their interrelations, influencing factors, and identifying the agents’ main behavioural rules, and agent behavioural map (AbM), which maps agents’ behavioural decision action pattern in more detail, revealing each agent’s cognitive structure. The RAM represents an integration of the above maps. It aims to analyze the interactive behaviour of resources and agents while identifying scenarios that emerge due to variations in resource structure, agent behavioural rules, and contextual factors. Using RAM method can help decision makers achieve comprehensive evaluation of the effects of system interventions, including generating management scenarios for system improvement.