Definition
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 Jing Wang and Gerardo Beni in 1989, in the context of cellular robotic systems.
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Active-set methodActive matterAffine scalingAgent-based modelAgent-based model in biologyAlcherio MartinoliAlgorithmAllee effectAltitudinal migrationAnimal-made artAnimal cognitionAnimal communicationAnimal consciousnessAnimal cultureAnimal languageAnimal migrationAnimal migration trackingAnimal navigationAnimal resistanceAnt colonyAnt colony optimizationAnt colony optimization algorithmAnt colony optimization algorithmsAnt millAnt roboticsApproximation algorithmArtificial immune systemsArtificial intelligenceArtificial lifeAssociation for Computing MachineryAugmented Lagrangian methodBIO-LGCABacteriaBait ballBarrier functionBatman ReturnsBee coloniesBellman–Ford algorithmBerndt–Hall–Hall–Hausman algorithmBird intelligenceBird migrationBoidsBorůvka's algorithmBrain-to-body mass ratioBrain sizeBranch and boundBranch and cutBroyden–Fletcher–Goldfarb–Shanno algorithmCat intelligenceCell migrationCellular automatonCephalopod intelligenceCetacean intelligenceCluster analysisClustering of self-propelled particlesCoded wire tagCognitive bias in animalsCognitive ethologyCollaborative intelligenceCollective animal behaviorCollective behaviorCollective effervescenceCollective intelligenceCollective motionCombinatorial optimizationComparative cognitionComparison of optimization softwareComplex systemsComputational creativityConvex minimizationConvex optimizationCraig Reynolds (computer graphics)Criss-cross algorithmCrowd simulationCutting-plane methodData miningDavidon–Fletcher–Powell formulaDecentralised systemDecentralizationDeep learningDeleuzeDiel vertical migrationDifferential evolutionDijkstra's algorithmDinic's algorithmDispersive flies optimisationDistributed artificial intelligenceDog intelligenceDouglas A. LawsonDrovingDynamic programmingEdmonds–Karp algorithmElephant cognitionEllipsoid methodEmergenceEmergent behaviourEmotion in animalsEncephalization quotientEuropean Space AgencyEusocialityEvolution of human intelligenceEvolutionary algorithmEvolutionary computationExchange algorithmFeeding frenzyFish intelligenceFish migrationFitness (biology)Flock (birds)Flocking (behavior)Flow networkFloyd–Warshall algorithmFood and Agriculture OrganizationFord–Fulkerson algorithmFrank–Wolfe algorithmFunction (mathematics)G factor in non-humansGauss–Newton algorithmGenetically modified organismsGeorge A. BekeyGerardo BeniGlobal brainGlobal optimizationGolden-section searchGradientGradient descentGraph algorithmGreat ape languageGreedy algorithmGroup mind (science fiction)Group size measuresHarmony searchHerdHerd behaviorHerdingHessian matrixHeuristic algorithmHewlett-PackardHill climbingHistory of wildlife tracking technologyHoming (biology)HuntingHybrid algorithmInsect cognitionInsect migrationInteger programmingIntelligent agentIterative methodJ. Phys. AJames Kennedy (social psychologist)Karmarkar's algorithmKruskal's algorithmKrzysztof Promyk RybińskiLanguageLemke's algorithmLepidoptera migrationLessepsian migrationLevenberg–Marquardt algorithmLimited-memory BFGSLine searchLinear programmingList of animals by number of neuronsList of metaphor-based metaheuristicsList of metaphor-inspired metaheuristicsLocal convergenceLocal minimaLocal search (optimization)LocustLouis B. RosenbergLuca Maria GambardellaM. Anthony Lewis (roboticist)Magnetic resonance imagingMagnus EgerstedtMarco DorigoMassive (software)Mathematical optimizationMatroidMaurice Clerc (mathematician)MetaheuristicMicrobial intelligenceMicroboticsMinimum feedback arc setMinimum spanning treeMirror descentMirror testMixed-species foraging flockMobbing (animal behavior)Monarch butterfly migrationMonte Carlo algorithmMulti-agent systemMutualism (biology)MyrmecologyNASANanoroboticsNatal homingNelder–Mead methodNeuroethologyNeuroscience and intelligenceNewton's method in optimizationNikolaus CorrellNonlinear conjugate gradient methodNonlinear programmingNumber sense in animalsObservational learningOptimization (mathematics)Optimization algorithmP. N. SuganthanPack (canine)Pack hunterPain in amphibiansPain in animalsPain in cephalopodsPain in crustaceansPain in fishPain in invertebratesParallel metaheuristicParameter spaceParticle swarm optimizationPatterns of self-organization in antsPenalty methodPheromonePhilopatryPhysica APhysical Review LettersPigeon intelligencePopulation protocolPowell's dog leg methodPowell's methodPredator satiationPreprintPrim's algorithmPrimate archaeologyPrimate cognitionProbabilistic algorithmPromise theoryPush–relabel maximum flow algorithmQuadratic programmingQuasi-Newton methodQuorum sensingReinforcement learningReverse migration (birds)Revised simplex methodRobotRule 110Russell C. EberhartSIGGRAPHSalmon runSardine runScholarpediaSea turtle migrationSelf-organizationSelf-organized criticalitySelf-propelled particlesSequential quadratic programmingShoaling and schoolingShortest Path Faster AlgorithmShortest path problemSimplex algorithmSimulated annealingSocial potential fieldsSort solSouthwest AirlinesSpatial organizationSpiral optimization algorithmStanford University School of MedicineStarlingStigmergyStochastic diffusion searchStochastic grammarStochastic optimizationSubgradient methodSuccessive linear programmingSuccessive parabolic interpolationSwarm (simulation)Swarm Development GroupSwarm behaviourSwarm robotic platformsSwarm roboticsSwarming (honey bee)Swarming (military)Swarming motilitySwisTrackSymbrionSymmetric rank-oneSymmetry breaking of escaping antsTabu searchTalking animalTalking birdTamás VicsekTask allocation and partitioning of social insectsTelecommunications networkThe Lord of the Rings (film series)The Wisdom of CrowdsTheory of mind in animalsTool use by non-humansTool use by sea ottersTruncated Newton methodTrust regionUCSF School of MedicineUnited NationsVelocityVicsek modelVocal learningWisdom of the crowdWolfe conditions
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