Search results for "RNR"

showing 2 items of 302 documents

The Effect of Predator Population Dynamics on Batesian Mimicry Complexes.

2022

Understanding Batesian mimicry is a classic problem in evolutionary biology. In Batesian mimicry, a defended species (the model) is mimicked by an undefended species (the mimic). Prior theories have emphasized the role of predator behavior and learning as well as evolution in model-mimic complexes but have not examined the role of population dynamics in potentially governing the relative abundances and even persistence of model-mimic systems. Here, we examined the effect of the population dynamics of predators and alternative prey on the prevalence of warning-signaling prey composed of models and mimics. Using optimal foraging theory and signal detection theory, we found that the inclusion …

varoitusväriJACAMARS GALBULA-RUFICAUDAInformationSystems_INFORMATIONINTERFACESANDPRESENTATION(e.g.HCI)apparent competitionPopulationAVIAN PREDATORSPopulation DynamicsevoluutioBiologyALTERNATIVE PREYModels BiologicalEMPIRICAL-TESTInformationSystems_MODELSANDPRINCIPLESsignal detectionIMPERFECT MIMICRYAnimalsaposematismeducationtheoryPredatorEcology Evolution Behavior and Systematicssignal detection theoryeducation.field_of_studyBiological MimicrymimikryComputingMilieux_PERSONALCOMPUTINGeliöyhteisötdynamicspopulaatiodynamiikkaBiological EvolutionBatesian mimicrySIGNAL-DETECTION-THEORYCORAL-SNAKE PATTERNNATURAL-SELECTIONComputingMethodologies_PATTERNRECOGNITIONEvolutionary biologyPredatory Behavior1181 Ecology evolutionary biologywarning signalCOMMUNITY STRUCTUREcommunity ecologyMULLERIAN MIMICRYThe American naturalist
researchProduct

When more is less: The other side of artificial intelligence recommendation

2022

Based on consumers' preferences, AI (artificial intelligence) recommendation automatically filters information, which provokes scholars' debate. Supporters believe that by analyzing the consumers' preferences, AI recommendation enables consumers to choose products more quickly and with lower cost. Critics deem that consumers are more easily trapped in information cocoons because of the use of AI recommendation. This reduces the possibility of consumers contacting with a variety of commodities, thus lowering the consumer decision quality. Based on experiments, this paper discusses the moderating role of AI recommendation on the relationship of consumers' preferences and information cocoons. …

verkkokauppabusiness.industryStrategy and Managementconsumer decision qualitysuosittelujärjestelmätDecision qualityinformation cocoonGeneral Decision ScienceskuluttajakäyttäytyminentekoälyostopäätöksetAI recommendationGeneralLiterature_MISCELLANEOUSManagement Information SystemsVariety (cybernetics)ComputingMethodologies_PATTERNRECOGNITIONControl and Systems EngineeringManagement of Technology and Innovationconsumers' preferencesLower costArtificial intelligenceBusiness and International ManagementEmpirical evidencebusinessEngineering (miscellaneous)Journal of Management Science and Engineering
researchProduct