The current practice in multiagent systems typically associates the environment with
resources that are external to agents and their communication infrastructure. Advanced uses …

针对无人机(UAV) 集群在未知环境中无先验信息条件下的搜索问题, 提出了一种以信息素为决策
机制的无人机集群协同搜索算法. 首先, 考虑无人机通信约束, 建立了有外部节点的星型网络通信 …

Self-organization is bound to greatly affect computer science. The simplicity and yet power of
self-organized models will allow researchers to propose efficient solutions to problems …

In most swarm systems, agents are either aware of the position of their direct neighbors or
they possess a substrate on which they can deposit information (stigmergy). However, such …

Area coverage and collective exploration are key challenges for swarm robotics. Previous
research in this field has drawn inspiration from ant colonies, with real, or more commonly …

There is a growing awareness in the multiagent systems research community that the
environment plays a prominent role in multiagent systems. Originating from research on …

The rising tide of threats, from financial cybercrime to asymmetric military conflicts, demands
greater sophistication in tools and techniques of law enforcement, commercial and domestic …

This article presents the development of an autonomous and distributed movement
coordination algorithm for Unmanned Aerial Vehicles (UAVs) swarms used in …

Swarming without positioning information is interesting in application-oriented systems
because it alleviates the need for sensors which are dependent on the environment …

With the rapid evolution of wireless mobile devices, there emerges an increased need to
design effective collaboration mechanisms between intelligent agents to gradually approach …