Search results for "Collective behavior"

showing 10 items of 30 documents

The Influence of Collective Behavior on Pacing in Endurance Competitions

2015

A number of theoretical models have been proposed in recent years to explain pacing strategies observed in individual competitive endurance events. These have typically related to the internal regulatory processes that inform the making of decisions relating to muscular work rate. Despite a substantial body of research which has investigated the influence of collective group dynamics on individual behaviors in various animal species, this issue has not been comprehensively studied in individual athletic events. This is somewhat surprising given that athletes often directly compete in close proximity to one another, and that collective behavior has also been observed in other human environme…

Collective behaviorOperations researchPhysiologyCompromisemedia_common.quotation_subjectMental fatigueTheoretical modelsWork rateendurance performancelcsh:PhysiologyPhysiology (medical)Medicinecomplex systemsAnimal speciesmedia_commonlcsh:QP1-981biologyAthletesbusiness.industryCognitiondecision-makingMental Fatiguebiology.organism_classificationQPPerspectivesportbusinessCognitive psychologyFrontiers in Physiology
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A numerical study of attraction/repulsion collective behavior models: 3D particle analyses and 1D kinetic simulations

2013

39p; International audience; We study at particle and kinetic level a collective behavior model based on three phenomena: self-propulsion, friction (Rayleigh effect) and an attractive/repulsive (Morse) potential rescaled so that the total mass of the system remains constant independently of the number of particles N . In the first part of the paper, we introduce the particle model: the agents are numbered and described by their position and velocity. We iden- tify five parameters that govern the possible asymptotic states for this system (clumps, spheres, dispersion, mills, rigid-body rotation, flocks) and perform a numerical analysis on the 3D setting. Then, in the second part of the paper…

Collective behaviorParticle numberKinetic energy01 natural sciencesMSC 92B05 70F99 65P40 35L50symbols.namesakecollective behavior0103 physical sciences[MATH.MATH-AP]Mathematics [math]/Analysis of PDEs [math.AP]Statistical physics0101 mathematicsRayleigh scattering010306 general physicsParticle systemSelf-organizationPhysicsNumerical analysisStatistical and Nonlinear Physicsattractive/repulsive potentialCondensed Matter Physicsself-organizationswarming010101 applied mathematicsClassical mechanicssymbolsSPHERES[MATH.MATH-NA]Mathematics [math]/Numerical Analysis [math.NA]
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Collective and Cooperative Behaviour Models

2016

International audience; In modelling residential choice we cannot escape the debate about the effect of societal context on an individual’s decision-making. This debate depends on whether we set more store by the aggregate scale of society or by the individual’s decision-making. An individual-centred approach will focus on the particularities of an individual and the way her past, for example, influences her decisions.

Collective behaviorSocietal context[SHS.GEO] Humanities and Social Sciences/Geography[SHS.PSY]Humanities and Social Sciences/Psychology[SHS.GEO]Humanities and Social Sciences/Geography[SHS.ECO]Humanities and Social Sciences/Economics and Finance[ SHS.GEO ] Humanities and Social Sciences/GeographyFocus (linguistics)[SHS.PSY] Humanities and Social Sciences/PsychologyMicroeconomicsresidential choice[ SHS.PSY ] Humanities and Social Sciences/Psychologybehaviour modelsSelf organisationScale (social sciences)Indirect utility function[ SHS.ECO ] Humanities and Social Sciences/Economies and financesSociology[SHS.ECO] Humanities and Social Sciences/Economics and FinanceSet (psychology)Social psychology
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Flow properties and hydrodynamic interactions of rigid spherical microswimmers.

2017

We analyze a minimal model for a rigid spherical microswimmer and explore the consequences of its extended surface on the interplay between its self-propulsion and flow properties. The model is the first order representation of microswimmers, such as bacteria and algae, with rigid bodies and flexible propelling appendages. The flow field of such a microswimmer at finite distances significantly differs from that of a point-force (Stokeslet) dipole. For a suspension of microswimmers, we derive the grand mobility matrix that connects the motion of an individual swimmer to the active and passive forces and torques acting on all the swimmers. Our investigation of the mobility tensors reveals tha…

Collective behaviorStokesian dynamicsMovementFOS: Physical sciencesCondensed Matter - Soft Condensed MatterBacterial Physiological Phenomena01 natural sciencesQuantitative Biology::OtherModels Biological010305 fluids & plasmasQuantitative Biology::Cell Behavior0103 physical sciencesComputer SimulationPhysics - Biological Physics010306 general physicsSuspension (vehicle)Plant Physiological PhenomenaPhysicsPhysics::Biological PhysicsFluid Dynamics (physics.flu-dyn)EukaryotaPhysics - Fluid DynamicsFirst orderFlow fieldDipoleClassical mechanicsBiological Physics (physics.bio-ph)HydrodynamicsSoft Condensed Matter (cond-mat.soft)Flow propertiesPhysical review. E
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Characterizing the collective personality of ant societies: aggressive colonies do not abandon their home.

2011

Animal groups can show consistent behaviors or personalities just like solitary animals. We studied the collective behavior of Temnothorax nylanderi ant colonies, including consistency in behavior and correlations between different behavioral traits. We focused on four collective behaviors (aggression against intruders, nest relocation, removal of infected corpses and nest reconstruction) and also tested for links to the immune defense level of a colony and a fitness component (per-capita productivity). Behaviors leading to an increased exposure of ants to micro-parasites were expected to be positively associated with immune defense measures and indeed colonies that often relocated to other…

Collective behaviorTemnothorax nylanderimedia_common.quotation_subjectved/biology.organism_classification_rank.speciesImmunologyZoologylcsh:MedicineBiologyNestBehavioral ecologymedicinePersonalityAnimalslcsh:ScienceBiologymedia_commonLikelihood FunctionsMultidisciplinaryBehavior AnimalEcologyved/biologyEcologyAggressionAntslcsh:RAnt colonyAggressionCommunity Ecologylcsh:QCollective animal behaviormedicine.symptomZoologyResearch ArticlePloS one
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Individual Variability and Average Reliability in Parallel Networks of Heterogeneous Biological and Artificial Nanostructures

2013

We simulate the collective electrical response of heterogeneous ensembles of biological and artificial nanostructures whose individual threshold potentials show a significant variability. This problem is of current interest because nanotechnology is bound to produce nanostructures with a significant experimental variability in their individual physical properties. This diversity is also present in biological systems that are however able to process information efficiently. The nanostructures considered are the ion channels of biological membranes, nanowire field-effect transistors, and metallic nanoparticle-based single electron transistors. These systems are simulated with canonical models…

Collective behaviorThreshold potentialParallel algorithmNanowireElectronic engineeringCanonical modelNanobiotechnologyProbability distributionField-effect transistorElectrical and Electronic EngineeringBiological systemComputer Science ApplicationsIEEE Transactions on Nanotechnology
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Modelling swarm-intelligent systems for medical applications

2017

Modeling swarm intelligent systems has attracted attention of researchers over the last decade, as the attributes such as self-organization, self-regulation or collective behavior exhibited by the system entities while following a certain set of rules, can be implemented with the aim at investigating complexity of the problems that an individual would be unable to tackle in real world. In this keynote paper, meta-heuristics and paradigms of modeling swarm-intelligent systems will be discussed with respect to their application areas for medical purposes.

Collective behaviorswarm intelligenceComputer sciencebusiness.industryIntelligent decision support systemCollective intelligenceSwarm behaviourcollective intelligencebioinformaticsSwarm intelligenceSet (abstract data type)modeling medical systemsApplication areasArtificial intelligencebusiness2017 Twelfth International Conference on Digital Information Management (ICDIM)
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Collective behavior ofMbosonic modes interacting with a single two-level atom

1988

The Hamiltonian describing, without the rotating-wave approximation (RWA), the linear interaction between M bosonic modes with an Einstein spectrum and a single two-level atom is exactly and canonically transformed introducing M suitable collective independent field modes, in such a way that only one among them is coupled to the atom. Some physical consequences of this fact are analyzed and, in particular, the existence of radiation-trapping phenomena together with the possibility of atomic absorption suppression is established. The applicability of the RWA to this system is discussed and the importance of the effective-field statistics for the time evolution of the system is pointed out.

Condensed Matter::Quantum GasesPhysicssymbols.namesakeCollective behaviorQuantum mechanicsAtomsymbolsTime evolutionNonlinear opticsEinsteinHamiltonian (quantum mechanics)Physical Review A
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Connectivity Influences on Nonlinear Dynamics in Weakly-Synchronized Networks: Insights from Rössler Systems, Electronic Chaotic Oscillators, Model a…

2019

Natural and engineered networks, such as interconnected neurons, ecological and social networks, coupled oscillators, wireless terminals and power loads, are characterized by an appreciable heterogeneity in the local connectivity around each node. For instance, in both elementary structures such as stars and complex graphs having scale-free topology, a minority of elements are linked to the rest of the network disproportionately strongly. While the effect of the arrangement of structural connections on the emergent synchronization pattern has been studied extensively, considerably less is known about its influence on the temporal dynamics unfolding within each node. Here, we present a compr…

Correlation dimensionCollective behaviornonlinear dynamicGeneral Computer ScienceComputer scienceNetwork topologyTopology01 natural sciencesnetwork topology010305 fluids & plasmasnode degreeRössler systemEntropy (classical thermodynamics)nonlinear dynamicschaotic transition0103 physical sciencesEntropy (information theory)Attractor dimensionGeneral Materials Sciencestructural connectivity010306 general physicsprediction errorstochastic dynamicsGeneral EngineeringSaito oscillatorelectronic chaotic oscillatorComplex networkNonlinear systemneuronal culturestochastic dynamicnodal strengthChaotic oscillatorscomplexityentropysynchronizationEntropy (order and disorder)
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Initial conditions in AA and pA collisions

2016

A full understanding of the spacetime evolution of the QCD matter created in a heavy ion collision requires understanding the properties of the initial stages. In the weak coupling picture these are dominated by classical gluon fields, whose properties can also be studied via the scattering of dilute probes off a high energy hadron or nucleus. A particular challenge is understanding small systems, where LHC data is also showing signs of collective behavior. We discuss some recent results of on the initial matter production and thermalization in heavy ion collisions, in particular in the gluon saturation framework.

Particle physicsCollective behaviorNuclear TheoryQC1-999HadronFOS: Physical sciencesGLUON PRODUCTION114 Physical sciences01 natural sciencesNuclear Theory (nucl-th)High Energy Physics - Phenomenology (hep-ph)quantum chromodynamics0103 physical sciencesNuclear Experiment010306 general physicsPLUS PB COLLISIONSNUCLEUSQCD matterPhysicsgluon fieldsLarge Hadron Colliderta114010308 nuclear & particles physicsScatteringPhysicsCGC PREDICTIONSHigh Energy Physics::PhenomenologyTRANSVERSE-MOMENTUMCOLOR GLASS CONDENSATEFIELDSEVOLUTIONGluonheavy ion collisionHigh Energy Physics - PhenomenologyCoupling (physics)ThermalisationLHCgluon saturationEPJ Web of Conferences
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