Artificial intelligence: Riders on a swarm.
The field of artificial intelligence is generating models mimicking the behavior of ants, bees, and birds. In 1992, Marco Dorigo and his group began developing Ant Colony Optimization (ACO), an algorithm that looks for solutions to a problem by simulating a group of ants wandering over an area and...
| Publicado en: | Economist Vol. 396; pp. 65 - 67 |
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| Formato: | Artículo |
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Economist Newspaper Limited
August 14 2010
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=511526536&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 511526536 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00130613 ECO jtl: Economist issn: 00130613 maglogo: N pubinfo: dt: August 14 2010 vid: 396 pid: 161 pub: Economist Newspaper Limited artinfo: ui: 511526536 ppf: 65 ppct: 2 formats: tig: atl: Artificial intelligence: Riders on a swarm. aug: su: Artificial intelligence Ant behavior sug: subj: Artificial intelligence Ant behavior ab: The field of artificial intelligence is generating models mimicking the behavior of ants, bees, and birds. In 1992, Marco Dorigo and his group began developing Ant Colony Optimization (ACO), an algorithm that looks for solutions to a problem by simulating a group of ants wandering over an area and laying down pheromones. In the mid-1990s, James Kennedy and Russell Eberhart, inspired by birds, invented the particle swarm optimization (PSO). These innovations have stemmed from the dismal failure of artificial intelligence modeled on human brains. pubtype: Periodical doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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