- published: 14 Jan 2016
- views: 21142
Swarm intelligence (SI) is the collective behavior of decentralized, self-organized systems, natural or artificial. The concept is employed in work on artificial intelligence. The expression was introduced by Gerardo Beni and Jing Wang in 1989, in the context of cellular robotic systems.
SI systems consist typically of a population of simple agents or boids interacting locally with one another and with their environment. The inspiration often comes from nature, especially biological systems. The agents follow very simple rules, and although there is no centralized control structure dictating how individual agents should behave, local, and to a certain degree random, interactions between such agents lead to the emergence of "intelligent" global behavior, unknown to the individual agents. Examples in natural systems of SI include ant colonies, bird flocking, animal herding, bacterial growth, fish schooling and microbial intelligence.
The application of swarm principles to robots is called swarm robotics, while 'swarm intelligence' refers to the more general set of algorithms. 'Swarm prediction' has been used in the context of forecasting problems.
Radhika Nagpal is a computer scientist. She studies self-organising computer systems. She is currently the Fred Kavli Professor of Computer Science at Harvard University and Harvard School of Engineering and Applied Sciences. She is also a core faculty member of the Harvard Wyss Institute for Biologically Inspired Engineering.
Her research group focuses on two main areas are: (1) Biologically-inspired multi-agent systems: collective algorithms, programming paradigms, modular and swarm robotics (2) Biological multi-agent systems: models of multicellular morphogenesis, collective insect behavior. This work lies at the intersection of computer science (AI/robotics) and biology. Her group studies bio-inspired algorithms, programming paradigms, and hardware designs for swarm/modular robotic systems and smart materials, drawing inspiration mainly from social insects and multicellular biology. The group also investigates models of self-organization in biology, specifically how cells cooperate during the development of multicellular organisms.
Radhika is a professor at Harvard and a core faculty member of the Wyss Institute for Biologically Inspired Engineering. She studies collective behavior in biological systems and how such behaviors can be applied to computing and robotics. Radhika Nagpal is the Kavli Professor of Computer Science at Harvard University and a core faculty member of the Wyss Institute for Biologically Inspired Engineering. At Harvard, she leads the Self-organizing Systems Research Group (SSR) and her research combines computer science, robotics, and biology. Her main area of interest is how cooperation can emerge or be programmed from large groups of simple agents. Radhika Nagpal is a Core Faculty Member at the Wyss Institute for Biologically Inspired Engineering at Harvard, where she heads the Self-Organiz...
→ TRACKLIST & DOWNLOAD HERE: → SUBSCRIBE TO OUR CHANNEL: http://blrrm.tv/YouTube → And go to boilerroom.tv for the best of underground music: videos, articles, mixes and exclusive tracks Certainly one of Berlin’s finest sound designers with an exceptional live set. → FIND US HERE, TOO: → FACEBOOK https://www.facebook.com/boilerroom.tv → TWITTER: http://twitter.com/boilerroomtv → SOUNDCLOUD: https://soundcloud.com/platform → INSTAGRAM: http://instagram.com/boilerroomtv → SNAPCHAT: boilerroomtv → DAILYMOTION: http://blrrm.tv/Dailymotion
PyData Seattle 2015 Swarm intelligence (SI) algorithms mimic the collective behavior of groups such as flocks of birds and schools of fish. This session describes in detail three major SI algorithms: amoeba method optimization, particle swam optimization, and simulated bee colony optimization. Attendees will receive Python source code for each algorithm. Although SI algorithms have been studied for years, there is little practical implementation guidance available. This session describes the scenarios when SI algorithms are useful (and scenarios when SI algorithms are not useful), carefully explains how three major SI algorithms work, and presents a production quality, working demo, coded using Python, of each algorithm. Attendees will leave this session with a clear understanding of exac...
Rick Falkvinge is the founder of the Swedish Pirate Party, which has representation in the European parliament and has spawned Pirate Parties in more than 60 other countries. His interests lays in fighting for the net's core values, the ability for everybody to publish their ideas and creations, and how these industries drive us towards a Big Brother society. Because of his successes in cost-effective management and changing policy, he has been named a Top Global Thinker by Foreign Policy magazine, as well as shortlisted as one of the world's most influential people by TIME Magazine. When not making policy, he is keynoting about cost-effective management, or exploring technical subjects in detail.
Swarm intelligence's cognitive algorithm should be compliant with the same behavioral principles exhibited by social insects: Principle #1: Awareness Each member must be aware of its surroundings and abilities. Principle #2: Autonomy Each member must operate as an autonomous master (not as a slave); this is essential to self-coordinate allocation of labor. Principle #3: Solidarity Each member must cooperate in solidarity; when a task is completed each member should autonomously look for a new task (leveraging its current position). Principle #4: Expandability The system must permit expansion where members are dynamically aggregated. Principle #5: Resiliency The system must be self-healing; when members are removed, the remaining members should undertake the unfinished tasks. This tec...
The field of artificial intelligence is huge. One part of it is swarm intelligence. The collective intelligence of swarms and how they behave and how that can be applied to real life autonomous robots. This video shows and explains traits of swarms and how those can be applied in autonomous robots and real life situations where that is needed. To create this video I used parts from video documentaries from BBC about different types of swarms (bats and ants) and videos from different artificial intelligence symposiums. All the rights belong to their respective owners. Terminology that is used at the start of the video was taken from the book "Swarm Intelligence: From Natural to Artificial Systems" by Eric Bonabeau and Marco Dorigo All copyrights and trademarks belong to their respective ow...
The Gathering Swarms: From PBS - A look at some of the planet's great gatherings, creatures that come together in inconceivable numbers - sometimes in millions, billions, and even trillions. Included are bats and bees, locust and ants, monarch butterflies in Mexico, 17-year cicada hatches, grunion in the Sea of Cortez and carp in the Mississippi River, sardine runs off the coast of South Africa, super flocks of parakeets in the Australian Outback, mayflies on the 4th of July, and even penguins and wildebeest. Some gather to breed or to migrate, some for protection, some simply to keep warm in the cold. But in the process, a kind of super-organism is created in which individual intelligence is superseded by a collective consciousness that shares information and moves with a single purpose f...
https://instrumentsofdiscipline.bandcamp.com/album/home-recordings https://www.facebook.com/swarmintell/ Artist: Swarm Intelligence Album: Home Recordings Label: Insturments of Discipline Catalogue: IOD016 Format: Vinyl, Digital Country: Germany Release Date: May 15th, 2017 Genre: Electronic Style: Experimental, Techno, Industrial Tracklist: 1. Black Gills 05:58 2. Home Recording 05:47 3. Scarper 06:26 4. Anaesthesia 05:05 5. Plague 07:09 6. Red Sky 05:55 Video Edit: www.X-IMG.de
Swarm Intelligence - Faction Label: Ad Noiseam Released: 10 Nov 2014 Style: Industrial, Downtempo, Noise, Rhythmic Noise ----- http://www.adnoiseam.net/adn183 http://www.swarmintelligence.net/ http://www.discogs.com/Swarm-Intelligence-Faction/release/6194795
Radhika is a professor at Harvard and a core faculty member of the Wyss Institute for Biologically Inspired Engineering. She studies collective behavior in biological systems and how such behaviors can be applied to computing and robotics. Radhika Nagpal is the Kavli Professor of Computer Science at Harvard University and a core faculty member of the Wyss Institute for Biologically Inspired Engineering. At Harvard, she leads the Self-organizing Systems Research Group (SSR) and her research combines computer science, robotics, and biology. Her main area of interest is how cooperation can emerge or be programmed from large groups of simple agents. Radhika Nagpal is a Core Faculty Member at the Wyss Institute for Biologically Inspired Engineering at Harvard, where she heads the Self-Organiz...
→ TRACKLIST & DOWNLOAD HERE: → SUBSCRIBE TO OUR CHANNEL: http://blrrm.tv/YouTube → And go to boilerroom.tv for the best of underground music: videos, articles, mixes and exclusive tracks Certainly one of Berlin’s finest sound designers with an exceptional live set. → FIND US HERE, TOO: → FACEBOOK https://www.facebook.com/boilerroom.tv → TWITTER: http://twitter.com/boilerroomtv → SOUNDCLOUD: https://soundcloud.com/platform → INSTAGRAM: http://instagram.com/boilerroomtv → SNAPCHAT: boilerroomtv → DAILYMOTION: http://blrrm.tv/Dailymotion
PyData Seattle 2015 Swarm intelligence (SI) algorithms mimic the collective behavior of groups such as flocks of birds and schools of fish. This session describes in detail three major SI algorithms: amoeba method optimization, particle swam optimization, and simulated bee colony optimization. Attendees will receive Python source code for each algorithm. Although SI algorithms have been studied for years, there is little practical implementation guidance available. This session describes the scenarios when SI algorithms are useful (and scenarios when SI algorithms are not useful), carefully explains how three major SI algorithms work, and presents a production quality, working demo, coded using Python, of each algorithm. Attendees will leave this session with a clear understanding of exac...
Rick Falkvinge is the founder of the Swedish Pirate Party, which has representation in the European parliament and has spawned Pirate Parties in more than 60 other countries. His interests lays in fighting for the net's core values, the ability for everybody to publish their ideas and creations, and how these industries drive us towards a Big Brother society. Because of his successes in cost-effective management and changing policy, he has been named a Top Global Thinker by Foreign Policy magazine, as well as shortlisted as one of the world's most influential people by TIME Magazine. When not making policy, he is keynoting about cost-effective management, or exploring technical subjects in detail.
Swarm intelligence's cognitive algorithm should be compliant with the same behavioral principles exhibited by social insects: Principle #1: Awareness Each member must be aware of its surroundings and abilities. Principle #2: Autonomy Each member must operate as an autonomous master (not as a slave); this is essential to self-coordinate allocation of labor. Principle #3: Solidarity Each member must cooperate in solidarity; when a task is completed each member should autonomously look for a new task (leveraging its current position). Principle #4: Expandability The system must permit expansion where members are dynamically aggregated. Principle #5: Resiliency The system must be self-healing; when members are removed, the remaining members should undertake the unfinished tasks. This tec...
The field of artificial intelligence is huge. One part of it is swarm intelligence. The collective intelligence of swarms and how they behave and how that can be applied to real life autonomous robots. This video shows and explains traits of swarms and how those can be applied in autonomous robots and real life situations where that is needed. To create this video I used parts from video documentaries from BBC about different types of swarms (bats and ants) and videos from different artificial intelligence symposiums. All the rights belong to their respective owners. Terminology that is used at the start of the video was taken from the book "Swarm Intelligence: From Natural to Artificial Systems" by Eric Bonabeau and Marco Dorigo All copyrights and trademarks belong to their respective ow...
The Gathering Swarms: From PBS - A look at some of the planet's great gatherings, creatures that come together in inconceivable numbers - sometimes in millions, billions, and even trillions. Included are bats and bees, locust and ants, monarch butterflies in Mexico, 17-year cicada hatches, grunion in the Sea of Cortez and carp in the Mississippi River, sardine runs off the coast of South Africa, super flocks of parakeets in the Australian Outback, mayflies on the 4th of July, and even penguins and wildebeest. Some gather to breed or to migrate, some for protection, some simply to keep warm in the cold. But in the process, a kind of super-organism is created in which individual intelligence is superseded by a collective consciousness that shares information and moves with a single purpose f...
https://instrumentsofdiscipline.bandcamp.com/album/home-recordings https://www.facebook.com/swarmintell/ Artist: Swarm Intelligence Album: Home Recordings Label: Insturments of Discipline Catalogue: IOD016 Format: Vinyl, Digital Country: Germany Release Date: May 15th, 2017 Genre: Electronic Style: Experimental, Techno, Industrial Tracklist: 1. Black Gills 05:58 2. Home Recording 05:47 3. Scarper 06:26 4. Anaesthesia 05:05 5. Plague 07:09 6. Red Sky 05:55 Video Edit: www.X-IMG.de
Swarm Intelligence - Faction Label: Ad Noiseam Released: 10 Nov 2014 Style: Industrial, Downtempo, Noise, Rhythmic Noise ----- http://www.adnoiseam.net/adn183 http://www.swarmintelligence.net/ http://www.discogs.com/Swarm-Intelligence-Faction/release/6194795
→ TRACKLIST & DOWNLOAD HERE: → SUBSCRIBE TO OUR CHANNEL: http://blrrm.tv/YouTube → And go to boilerroom.tv for the best of underground music: videos, articles, mixes and exclusive tracks Certainly one of Berlin’s finest sound designers with an exceptional live set. → FIND US HERE, TOO: → FACEBOOK https://www.facebook.com/boilerroom.tv → TWITTER: http://twitter.com/boilerroomtv → SOUNDCLOUD: https://soundcloud.com/platform → INSTAGRAM: http://instagram.com/boilerroomtv → SNAPCHAT: boilerroomtv → DAILYMOTION: http://blrrm.tv/Dailymotion
PyData Seattle 2015 Swarm intelligence (SI) algorithms mimic the collective behavior of groups such as flocks of birds and schools of fish. This session describes in detail three major SI algorithms: amoeba method optimization, particle swam optimization, and simulated bee colony optimization. Attendees will receive Python source code for each algorithm. Although SI algorithms have been studied for years, there is little practical implementation guidance available. This session describes the scenarios when SI algorithms are useful (and scenarios when SI algorithms are not useful), carefully explains how three major SI algorithms work, and presents a production quality, working demo, coded using Python, of each algorithm. Attendees will leave this session with a clear understanding of exac...
The Gathering Swarms: From PBS - A look at some of the planet's great gatherings, creatures that come together in inconceivable numbers - sometimes in millions, billions, and even trillions. Included are bats and bees, locust and ants, monarch butterflies in Mexico, 17-year cicada hatches, grunion in the Sea of Cortez and carp in the Mississippi River, sardine runs off the coast of South Africa, super flocks of parakeets in the Australian Outback, mayflies on the 4th of July, and even penguins and wildebeest. Some gather to breed or to migrate, some for protection, some simply to keep warm in the cold. But in the process, a kind of super-organism is created in which individual intelligence is superseded by a collective consciousness that shares information and moves with a single purpose f...
Swarm intelligence is the solving of a cognitive problem by two or more individuals who independently collect information and process it through social interactions. With the right organization, a group can overcome the cognitive limitations of its members and achieve a high collective IQ. To understand how to endow groups with swarm intelligence, it is useful to examine natural systems that have evolved this ability. An excellent example is a swarm of honey bees solving the life-or-death problem of finding a new home. Thomas Seeley shows us how these incredible insects have much to teach us when it comes to achieving collective wisdom and effective group decision making. [Show ID: 23513]
Prof. Tad Gonsalves on Swarm Intelligence MVI 5304 at University of South Florida, Sarasota-Manatee campus
Video presentation of the keynote presentation delivered by Marco A. Montes de Oca at the 2011 International Joint Conference on Computational Intelligence (IJCCI'11) held in Paris, France. Swarm intelligence is the collective problem-solving behavior of groups of animals and artificial agents. Often, swarm intelligence is the result of self-organization, which emerges from the agents' local interactions with one another and with their environment. Such local interactions can be positive, negative, or neutral. Positive interactions help a swarm of agents solve a problem. Negative interactions are those that block or hinder the agents' task-performing behavior. Neutral interactions do not affect the swarm's performance. Reducing the effects of negative interactions is one of the main task...
For more information about our work, including the papers describing the details of this video, visit http://NeoSwarm.com/