Complex systems are extremely hard to predict due to its highly nonlinear interactions and
rich emergent properties. Thanks to the rapid development of network science, our …

Hierarchical crowdsourcing networks (HCNs) provide a useful mechanism for social
mobilization. However, spontaneous evolution of the complex resource allocation dynamics …

Patterns emerging through self-organization in nature have sparked considerable interest
across various disciplines, owing to their significance in comprehending collective …

In nature and human societies, the effects of homogeneous and heterogeneous
characteristics on the evolution of collective behaviors are quite different from each other. By …

Motivated by the applications in leader-follower multi-agent dynamics, a class of optimal
control problems is investigated, where the goal is to influence the behavior of a given …

Today, most endeavours require teamwork by people with diverse skills and characteristics.
In managing teamwork, decisions are often made under uncertainty and resource …

The main point of this paper is to provide an affirmative answer through exploiting
reinforcement learning (RL) in artificial intelligence (AI) for eliminating herding without any …

Vaccine hesitancy, as well as propensity to free-ride, can pose serious challenges to mass
vaccination schemes aimed at controlling spread of infectious diseases. If vaccination is not …

Collective behavior in the resource allocation systems has attracted much attention, where
the efficiency of the system is intimately depended on the self-organized processes of the …

The emergence of coordinated and consistent macro behavior among self-interested
individuals competing for limited resources represents a central inquiry in comprehending …