Swarm intelligence, from natural to artificial systems by bonabeau, dorigo, theraulaz, oxford university press. Ants collectively select the shortest path to the food source. Ants, bees, and wasps have been studied by scientists for years. With the growth of the various area of swarm research, the swarm terminology has become somewhat confusing. The blessing and curse of emergence in swarm intelligence. Dumb parts, properly connected into a swarm, yield smart. The promise of swarm intelligence systems is that of developing artificial distributed problemsolving devices that selforganize to solve problems bonabeau et al.
Bonabeau et al, 1999 examples group foraging of social insects cooperative transportation division of labour nestbuilding of social insects collective sorting and clustering. When used in trusted autonomous systems, the emergent behaviour of swarm intelligence systems can be both a. In the future, the authors speculate, a company might structure its entire business using the principles of swarm intelligence. To date, several swarm intelligence models based on different natural swarm systems have been proposed in the literature, and successfully applied in many reallife applications. Swarm intelligence by eberhart et al, morgan kaufmann. The expression was introduced by gerardo beni and jing wang in 1989, in the context of cellular robotic systems. Social insectsants, bees, termites, and waspscan be viewed as. Swarm intelligence by bonabeau, eric and a great selection of related books, art and collectibles available now at. The present study shows that a competitive economy consisting of a large number of selfinterested agents can be mapped to a boltzmannlike system, where entropy and energy play roles of swarm intelligence and income, respectively. Nest 2 1 nest food foraging area foraging area nest 12. Swarm intelligence yichen hu abstract swarm intelligence is an important concept in arti cial intelligence and computer science with emergent properties. Examples of swarm intelligence in natural systems include ant colonies, bird flocking, hawks hunting, animal herding, bacterial growth, fish schooling and microbial intelligence.
In the present study, we investigated a potential origin of the swarm intelligence in humans. This book provides a rigorous look at the mechanisms underlying collective behavior in social insects. A swarm is better understood if thought of as agents showing a collective behavior. Swarm intelligence from natural to artificial systems eric bonabeau, marco dorigo, and guy theraulaz santa fe institute studies on the sciences of complexity.
The term swarm intelligence, since its introduction by beni and wang in 1989 in the context of cellular robotic. From natural to artificial systems santa fe institute studies on the sciences of complexity series by eric bonabeau. His work focuses on the limits of human decisionmaking in a complex, decentralized and unpredictable world. Meanwhile, a perhaps confusing variety of computational techniques are seen to be associated with this term, such as agents, emergence. Robustness is the ability to cope with the loss of individuals. The book begins with a brief introduction to mathematical optimization, addressing basic concepts related to swarm intelligence, such as randomness, random. Understanding the power of artificial swarm intelligence. Swarm intelligence systems, based on the interaction of a large number of relatively simples agents, rely on emergent intelligence for their problem solving capabilities. It is a bottomup approach to controlling and optimizing distributed systems, using resilient, decentralized, selforganized techniques, initially inspired by how social insects operate shaped by millions of. The defining characteristics of sia swarm intelligence algorithm are simple components that can act independently, share information. Swarm intelligence eric bonabeau is chief scientist at icosystem corporation, a boston and parisbased strategy consulting. The swarm intelligence principles are first described and understood through models in natural systems and then translated in optimization algorithms, distributed algorithms for robotic control, and so on.
Swarm intelligence can be defined more precisely as. The european space agency is thinking about an orbital swarm for selfassembly and interferometry. The expression was introduced by gerardo beni and jing wang in 1989, in the context of cellular robotic systems quotes. Using that model, researchers at northwestern university have devised a system for painting trucks that can automatically adapt to changing conditions. The design paradigm for these systems is fun mentally di. Swarm intelligence is a mindset rather than a technology. Over the past two decades, swarm intelligence has emerged as a powerful approach to solving optimization as well as other complex problems. Pdf swarm intelligence download full pdf book download.
From swarm intelligence to swarm robotics springerlink. Principles, advances, and applications delivers indepth coverage of bat, artificial fish swarm, firefly, cuckoo search, flower pollination, artificial bee colony, wolf search, and gray wolf optimization algorithms. Swarm intelligence is going to be new research area for scientists. The emergent collective intelligence of groups of simple agents. Eric bonabeau, david corne, joshua knowles, riccardo poli. Pdf on jan 1, 2001, eric bonabeau and others published swarm intelligence. Swarm intelligence 1 swarm intelligence david corne, alan reynolds and eric bonabeau increasing numbers of books, websites and articles are devoted to the concept of swarm intelligence. This cited by count includes citations to the following articles in scholar. The application of swarm principles to robots is called swarm robotics, while swarm intelligence refers to the more general set of algorithms. A cursory analysis was performed by reading through. Eric bonabeau is one of the worlds leading experts in complex systems and distributed adaptive problem solving and is known worldwide for his ability to apply the concepts of complexity science to realworld problems. Theoretical computer science swarm intelligence theory. Constructing humanlike architecture with swarm intelligence. The term swarm has been applied to many systems in biology, engineering, computation, etc.
Individually, these insects do not possess the intelligence to enable them to survive on their own. Social insectsants, bees, termites, and waspscan be viewed as powerful problemsolving systems with sophisticated collective intelligence. Crowd simulating artists are using swarm technology as a means of. Swarm intelligence is the discipline that deals with natural and arti. This book is intended for researchers, seniorundergraduate and graduate students with a social science, cognitive science, eng.
Swarm intelligence one worker of robot designed as a worker of ant 4. Bonabeau has defined the swarm intelligence as any attempt to design algorithms or distributed problemsolving devices inspired by the collective behaviour of. Swarm intelligence is the discipline that deals with natural and artificial systems composed of many individuals that coordinate using decentralized control and selforganization. In particular, the discipline focuses on the collective behaviors that result from the local interactions of the individuals with each other and with their environment. Bonabeau and meyer define swarm intelligence as the collective behavior that emerges from a group of social insects. The essential idea of swarm intelligence algorithms is to employ many simple agents applying almost no rule which in turn leads to an emergent global behavior. Learninginteractiondiversification framework for swarm. Theraulaz, swarm intelligence, from natural to artificial systems. Swarm intelligence is the seemingly intelligent behavior that emerges from the collective behavior of a large number of autonomous agents. Swarm intelligence models are inspired by social behaviours of simple agents interacting among themselves as well as with the environment, e.
Swarm intelligence and ant colony optimisation extra reading. We can briefly describe typical manifestations of swarm intelligence algorithms and swarm robotics. Bioinspired swarm intelligence algorithms a systematic. Definition any attempt to design algorithms or distributed problemsolving devices inspired by the collective behavior of social insect colonies and other animal societies bonabeau, dorigo, theraulaz. Swarm intelligence may also hold important lessons for businesses seeking to find and exploit new markets. The book of bonabeau, dorigo, and theraulaz is an excellent example of synergetic work between a physicist, an engineer, and a biologist. Cambridge, ma 028 air force research laboratory control sciences division wrightpatterson afb, oh 45433 abstract. Swarm intelligence wikimili, the best wikipedia reader. Swarm intelligence introduction selforganization selforganization is a set of dynamical mechanisms whereby structures appear at the global level of a system from interactions of its lowerlevel components. This chapter is a further extension to an early eolss online article by the first author li, x.
Swarm intelligence has become a research interest to many research scientists of related fields in recent years. It is a bottomup approach to controlling and optimizing distributed systems, using resilient, decentralized, selforganized techniques, initially inspired by how social insects operate shaped by millions of years of evolution but does it matter in the end. Evidence of swarm intelligence in collective cultures. In particular, the behavior of groups of social animals appear to be robust, scalable, and. The concept is employed in work on artificial intelligence. Composed of simple interacting agents, this intelligence lies in. From natural to artificial systems eric bonabeau, marco dorigo and guy theraulaz pioneers of so called ant optimisation and the simulation of social insects do not only provide an overview of the state of the art in swarm intelligence. Jan 14, 2014 an example of artificialengineering swarm intelligence system is the collective transport of an item too heavy for a single robot, a behavior also often observed in ant colonies. Swarm intelligence eric bonabeau april 22 25 2003 westin hotel, santa clara, ca. Swarm intelligence definition of swarm intelligence by the. Consider how different species of ants attract their nest mates to new food sources. Ant colony optimization and particle swarm optimization. They go further by outlining future directions and areas of research.
Swarm intelligence an overview sciencedirect topics. Swarm intelligence draws on uptodate research from biology, neuroscience, artificial intelligence, robotics, operations research, and computer graphics, and each chapter is organized around a particular biological example, which is then used to develop an algorithm, a multiagent system, or a group of robots. The ones marked may be different from the article in the profile. In biology, this term is most widely used with reference to the colonylevel behaviors seen in social insects. In the section following that, we introduce two approaches to collective building algorithms.
222 1468 903 1460 116 42 640 167 112 298 1536 1096 514 998 967 869 26 1166 1107 1145 188 495 583 791 681 948 497 664 1328