Abstract Sensing, communication, navigation, decision-making, memory and learning are
key components in a standard cognitive tool-kit that enhance an animal's ability to …

The slime mould Physarum polycephalum, an aneural organism, uses information from
previous experiences to adjust its behaviour, but the mechanisms by which this is …

This chapter discusses the use of an intelligent physarum solver (IPS) to optimize profit in
oligopolistic supply chain networks. The IPS, inspired by the foraging behavior of the …

Community structure division is a crucial problem in the field of network data analysis.
Algorithms based on Markov chains are easy to use and provide promising solutions for …

In this article, an expert system-based multiagent deep deterministic policy gradient (ESB-
MADDPG) is proposed to realize the decision making for swarm robots. Multiagent deep …

Collective behavior is a widespread and important phenomenon among human society,
biological populations, swarm robots and multi-agents. The mathematical model shows that …

Reaction–diffusion processes organized in networks have attracted much interest in recent
years due to their applications across a wide range of disciplines. As one type of most …

The traveling salesman problem (TSP) is one of the most classical NP-hard problems in the
combinatorial optimization, as many practical problems, such as scheduling problems and …

Life evolved organisms to adapt dynamically to their environment and autonomously exhibit
behaviors. Although complex behaviors in organisms are typically associated with the …

During the past decades, pattern formulation with reaction–diffusion systems has attracted
great research interest. Complex networks, from single-layer networks to more complicated …