In the paper, we proposed a novel multi-swarm particle swarm optimization with dynamic
learning strategy (PSO-DLS) to improve the performance of PSO. To promote information …

Public goods game has been widely studied on the formation mechanism of cooperation in
social dilemmas. Extensive experimental and theoretical researches have shown that …

In this paper we are concerned with multiscale modeling, control, and simulation of self-
organizing agents leaving an unknown area under limited visibility, with special emphasis …

Individuals' strategy updating is an important factor in the spatial prisoner's dilemma game.
According to Bandura's social learning theory, adaptive behavior adjustment involves …

Toward the minimal weighted vertex cover (MWVC) in agent-based networking systems, this
paper recasts it as a potential game and proposes a distributed learning algorithm based on …

In this survey we consider mathematical models and methods recently developed to control
crowd dynamics, with particular emphasis on egressing pedestrians. We focus on two …

Toward the global optimality of the SET K-COVER problem in wireless sensor networks, we
view each sensor node as a rational player and propose a time variant log-linear learning …

In this paper, we introduce the swarm intelligence methods into the evolutionary dynamics,
and have studied the impact of swarm intelligent algorithm on the evolution of cooperation …

Understanding and explaining the widespread emergence of cooperation in social
dilemmas remains a great challenge. Previous researches have shown that complex …

This paper studies the evolution of cooperation in the Prisoner's Dilemma (PD) and the
Snowdrift (SD) game on a square lattice. Each player interacting with their neighbors can …