Distributed decision making is a concept and research field concerned with the process where decisions are made by multiple, interacting agents or entities rather than a single centralized authority. This domain investigates the mechanisms, challenges, and outcomes associated with decision processes occurring across spatially or logically separated agents with potentially incomplete or local information. Key characteristics include agent autonomy, limited global knowledge, complex interactions, and the potential for emergent system-level behaviors arising from local decisions. Its significance lies in addressing the complexity, scalability, and resilience requirements of modern systems, enabling robustness and adaptability in environments where central control is infeasible or undesirable.