0000000000326828

AUTHOR

John M. Mcnamara

showing 5 related works from this author

Quantifying male attractiveness

2003

Genetic models of sexual selection are concerned with a dynamic process in which female preference and male trait values coevolve. We present a rigorous method for characterizing evolutionary endpoints of this process in phenotypic terms. In our phenotypic characterization the mate-choice strategy of female population members determines how attractive females should find each male, and a population is evolutionarily stable if population members are actually behaving in this way. This provides a justification of phenotypic explanations of sexual selection and the insights into sexual selection that they provide. Furthermore, the phenotypic approach also has enormous advantages over a genetic…

MalePopulationBiologyGeneral Biochemistry Genetics and Molecular BiologyEvolutionarily stable strategySexual Behavior AnimalGenetic modelAnimalsComputer SimulationSelection GeneticeducationGeneral Environmental Scienceeducation.field_of_studyModels GeneticGeneral Immunology and MicrobiologyInheritance (genetic algorithm)General MedicineBiological EvolutionPreferenceGenetic architecturePhenotypeMate choiceEvolutionary biologySexual selectionFemaleGeneral Agricultural and Biological SciencesResearch ArticleProceedings of the Royal Society of London. Series B: Biological Sciences
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Simple learning rules to cope with changing environments

2008

10 pages; International audience; We consider an agent that must choose repeatedly among several actions. Each action has a certain probability of giving the agent an energy reward, and costs may be associated with switching between actions. The agent does not know which action has the highest reward probability, and the probabilities change randomly over time. We study two learning rules that have been widely used to model decision-making processes in animals-one deterministic and the other stochastic. In particular, we examine the influence of the rules' 'learning rate' on the agent's energy gain. We compare the performance of each rule with the best performance attainable when the agent …

0106 biological sciencesError-driven learningExploitComputer scienceEnergy (esotericism)Biomedical EngineeringBiophysicsBioengineeringanimal behavior010603 evolutionary biology01 natural sciencesBiochemistryMulti-armed banditModels Biologicaldecision makingBiomaterials03 medical and health sciences[ INFO.INFO-BI ] Computer Science [cs]/Bioinformatics [q-bio.QM][ SDV.EE.IEO ] Life Sciences [q-bio]/Ecology environment/SymbiosisAnimalsLearningComputer Simulation[ SDV.BIBS ] Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]multi-armed banditEcosystem030304 developmental biologySimple (philosophy)0303 health sciences[ SDE.BE ] Environmental Sciences/Biodiversity and Ecologybusiness.industrydynamic environmentslearning rulesdecision-making[SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]Unlimited periodRange (mathematics)Action (philosophy)Artificial intelligence[SDE.BE]Environmental Sciences/Biodiversity and Ecology[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM]businessBiotechnologyResearch Article[SDV.EE.IEO]Life Sciences [q-bio]/Ecology environment/Symbiosis
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An evolutionary perspective on stress responses, damage and repair

2022

Variation in stress responses has been investigated in relation to environmental factors, species ecology, life history and fitness. Moreover, mechanistic studies have unravelled molecular mechanisms of how acute and chronic stress responses cause physiological impacts (‘damage’), and how this damage can be repaired. However, it is not yet understood how the fitness effects of damage and repair influence stress response evolution. Here we study the evolution of hormone levels as a function of stressor occurrence, damage and the efficiency of repair. We hypothesise that the evolution of stress responses depends on the fitness consequences of damage and the ability to repair that damage. To o…

evoluutiobiologiaEndocrine and Autonomic SystemsStress responsestressiDynamic programmingAdaptation Physiological590 Tiere (Zoologie)HormonesEvolutionary modelBehavioral NeuroscienceDamageEndocrinologyStress PhysiologicalAutocorrelationDamage repair590 Animals (Zoology)Animalsmatemaattiset mallithormonaaliset vaikutuksetfysiologiset vaikutuksetHormones and Behavior
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Cross inhibition improves activity selection when switching incurs time costs

2015

Abstract We consider a behavioural model of an animal choosing between two activities, based on positive feedback, and examine the effect of introducing cross inhibition between the motivations for the two activities. While cross-inhibition has previously been included in models of decision making, the question of what benefit it may provide to an animal’s activity selection behaviour has not previously been studied. In neuroscience and in collective behaviour cross-inhibition, and other equivalent means of coupling evidence-accumulating pathways, have been shown to approximate statistically-optimal decision-making and to adaptively break deadlock, thereby improving decision performance. Sw…

0106 biological sciencesCross inhibitionMathematical optimizationComputer science[SDV]Life Sciences [q-bio]010603 evolutionary biology01 natural sciencesTime cost0501 psychology and cognitive sciencesForaging050102 behavioral science & comparative psychologyGeometric frameworkkäyttäytyminenSelection (genetic algorithm)Positive feedbackBehaviorGeometric Framework05 social sciencesActivity selectionDeadlock (game theory)Cross inhibitionActivity SelectionGeometric frameworkCoupling (computer programming)Cross InhibitionAnimal Science and ZoologyDecision processNeuroscienceCurrent Zoology
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Understanding the placebo effect from an evolutionary perspective

2013

Abstract A placebo is a treatment which is not effective through its direct action on the body, but works because of its effect on the patient's beliefs. From an evolutionary perspective, it is initially puzzling why, if people are capable of recovering, they need a placebo to do so. Based on an argument put forward by Humphrey [Great expectations: the evolutionary psychology of faith-healing and the placebo effect. In: Humphrey, N (2002). The mind made flesh. Oxford University Press, Oxford. 255–285], we present simple mathematical models of the placebo effect that involve a trade-off between the costs and benefits of allocating resources to a current problem. These models show why the eff…

0303 health sciencesNoceboPerspective (graphical)Experimental and Cognitive PsychologyPlaceboEvolutionary psychologyDirect action03 medical and health sciences0302 clinical medicineArts and Humanities (miscellaneous)Argumentta1181PsychologySocial psychology030217 neurology & neurosurgeryEcology Evolution Behavior and Systematics030304 developmental biologySimple (philosophy)Evolution and Human Behavior
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