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"Stigmergy manifests itself in the termite mound by the fact that the individual labour of each construction worker stimulates and guides the work of its neighbour.".[1]

Pierre-Paul Grassé. Pierre-Paul Grassé Pierre-Paul Grassé (November 27, 1895, Périgueux (Dordogne) – July 9, 1985) was a French zoologist, author of over 300 publications including the influential 52-volume Traité de Zoologie.

Pierre-Paul Grassé

He was an expert on termites. Biography[edit] Education[edit] Grassé began his studies in Périgueux where his parents owned a small business. Grassé continued his studies in Paris, focusing exclusively on science. In 1926, Grassé became vice-director of the École supérieure de sériciculture. Teaching and research[edit] In 1929, Grassé became professor of zoology at the Université de Clermont-Ferrand. In 1935, he became an Assistant Professor at the Université de Paris where he worked alongside Germaine Cousin (1896–1992), and received the Prix Gadeau de Kerville de la Société entomologique de France for his work on orthoptera and termites.

Publications[edit] He also composed the Termitologia (1982, 1983, 1984), a work in three volumes totalling over 2400 pages. Annex[edit] Works[edit] Stigmergy. Stigmergy is a mechanism of indirect coordination between agents or actions.[1] The principle is that the trace left in the environment by an action stimulates the performance of a next action, by the same or a different agent.


In that way, subsequent actions tend to reinforce and build on each other, leading to the spontaneous emergence of coherent, apparently systematic activity. Stigmergy is a form of self-organization. It produces complex, seemingly intelligent structures, without need for any planning, control, or even direct communication between the agents. As such it supports efficient collaboration between extremely simple agents, who lack any memory, intelligence or even individual awareness of each other.[1]


SWARM BEHAVIOUR. SWARM DEVELOPMENT GROUP. A search engine for social networks based on the behavior of ants. Research at Carlos III University in Madrid is developing an algorithm, based on ants' behavior when they are searching for food, which accelerates the search for relationships among elements that are present in social networks.

A search engine for social networks based on the behavior of ants

One of the main technical questions in the field of social networks, whose use is becoming more and more generalized, consists in locating the chain of reference that leads from one person to another, from one node to another. The greatest challenges that are presented in this area is the enormous size of these networks and the fact that the response must be rapid, given that the final user expects results in the shortest time possible. In order to find a solution to this problem, these researchers from UC3M have developed an algorithm SoSACO, which accelerates the search for routes between two nodes that belong to a graph that represents a social network. Multiple applications.

Collective Intelligence in Social Insects. It wasn't so long ago that the waggledance of the honey bee, the nest-building of the social wasp, and the construction of the termite mound were considered a somewhat magical aspect of nature.

Collective Intelligence in Social Insects

How could these seemingly uncommunicative, certainly very simple creatures be responsible for such epic feats of organisation and creativity? Over the last fifty years biologists have unravelled many of the mysteries surrounding social insects, and the last decade has seen an explosion of research in fields variously referred to as Collective Intelligence, Swarm Intelligence and emergent behaviour. Even more recently the swarm paradigm has been applied to a broader range of studies, opening up new ways of thinking about theoretical biology, economics and philosophy.

It turns out that not only might we, as multi-cellular organisms, be composed of swarms, but so could our societies, economies and perhaps even our minds. In the Beginning Like many geniuses, Marais' life ended in tragedy. Stigmergy. Emergence in stigmergic and complex adaptive systems: A formal discrete event systems perspective. Stigmergy as a generic mechanism for coordination.

Emergence in stigmergic and complex adaptive systems: A formal discrete event systems perspective. Volume 21, March 2013, Pages 22–39 Stigmergy in the Human Domain Edited By Margery J.

Emergence in stigmergic and complex adaptive systems: A formal discrete event systems perspective

Doyle and Leslie Marsh Abstract Complex systems have been studied by researchers from every discipline: biology, chemistry, physics, sociology, mathematics and economics and more. Keywords Stigmergy; Complex adaptive systems; Emergence; Self-organization; DEVS; Dynamic structure; Scale-free networks; Artificial systems Copyright © 2012 Elsevier B.V. A mind-boggling sculpture that crawls with a mind of Its own. Someday, not too long from now, you could be walking through a park and pass by a metal structure that looks a lot like a modernist jungle gym.

A mind-boggling sculpture that crawls with a mind of Its own

But it's not a playground, at least, not really. Rather, this geometric form is a moving piece of architecture that responds to both you and its surroundings like a stray animal might. This strange reality, a time when the structures around us act less like traditional buildings and more like living, thinking organisms, isn't too far away.