English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

One of the major motifs in collective or swarm intelligence is that, eventhough individuals follow simple rules, the resulting global behavior can becomplex and intelligent. In artificial swarm systems, such as swarm robots, thegoal is to use systems that are as simple and cheap as possible, deploy many ofthem, and coordinate them to conduct complex tasks that each individual cannotaccomplish. Shape formation in artificial intelligence systems is usuallyrequired for specific task-oriented performance, including 1) forming sensinggrids, 2) exploring and mapping in space, underwater, or hazardousenvironments, and 3) forming a barricade for surveillance or protecting an areaor a person. This paper presents a dynamic model of an artificial swarm systembased on a virtual spring damper model and algorithms for dispersion without aleader and line formation with an interim leader using only the distanceestimation among the neighbors.

Dispersion and Line Formation in Artificial Swarm Intelligence