The field of distributed decision-making is moving towards more agile and resilient approaches to handle disruptions in complex systems. Researchers are focusing on developing distributed frameworks that can adapt to changing environments and mitigate the effects of disruptions. A key direction is the use of multi-agent systems, which enable dynamic decision-making and coordination among agents. These systems are being applied to various domains, including supply chain management and manufacturing. The incorporation of risk assessment and management is also becoming increasingly important, as it allows for more effective response strategies to be developed.

Noteworthy papers include: A Distributed Approach for Agile Supply Chain Decision-Making Based on Network Attributes, which investigates the use of a distributed decision-making approach based on classical multi-agent frameworks. Dynamic distributed decision-making for resilient resource reallocation in disrupted manufacturing systems, which introduces a model-based resource agent architecture that enables effective agent coordination and dynamic agent decision-making. Heterogeneous Risk Management Using a Multi-Agent Framework for Supply Chain Disruption Response, which presents a heterogeneous risk management mechanism to incorporate uncertainties and risk attitudes into agent communication and decision-making strategy. Distributionally Robust Cascading Risk Quantification in Multi-Agent Rendezvous, which proposes a distributionally robust risk framework for analyzing cascading failures in multi-agent rendezvous.