Organisms face material and energetic constraintsclaimHeritable variation enables an evolutionary responseclaimFitness concerns reproductive contribution in contextclaimSelection is a population processclaimAdaptation has limits and tradeoffsclaimA home and dispersed resources create a routing problemclaimEnergy is a conditional proxy for fitnessclaimPhysical costs can define the payoff mapclaimA route advantage can yield a selection responseclaimRoute learning is a different empirical endpointclaimA fitness landscape is a model of a relationclaimAn ensemble requires a probability lawclaimNFL is a qualified averaging theoremclaimComparisons need matched endpoints and budgetsclaimPermutation symmetry is about complete input relabelingsclaimCoevolution changes what is being evaluatedclaimChampion selection changes the mathematical questionclaimThe 2005 biological limitation has stated boundariesclaimAn oracle formalizes an observation interfaceclaimFull-row simulation preserves equal-call dominanceclaimActive information is relative to a baselineclaimThe weak search-for-search bound needs a mean premiseclaimThe strict simplex tail uses a stronger measureclaimPhysics can induce a structured problem distributionclaimA mechanism measure need not have simplex tailsclaimFixed targets differ from environmental alignmentclaimElementary costs can reverse oracle comparisonsclaimFinite populations can track persistent environmentsclaimA success statistic does not identify causal provenanceclaimThe literature dispute concerns applicability as well as algebraclaimEcological feedback can alter future conditionsclaimIncreasing coordinated complexity remains a separate questionclaimNatural Selection Is Differential Reproduction, Not A Purposeful SelectorclaimAdaptation Does Not Guarantee Resistance To ExtinctionclaimMutation Is Not Directed By Future UsefulnessclaimSelection Claims Need Trait and Fitness EvidenceclaimAdaptation Often Requires Multidimensional CompromiseclaimEvolution Can Be Framed As Gene Frequency ChangeclaimPopulation-Genetic Models Compare Drift, Gene Flow, Mating, and SelectionclaimSelection Requires Heritable Phenotypic DifferencesclaimPopulations Have Properties Individuals Do NotclaimAdaptation Claims Need Evidence And A Clear Level Of SelectionclaimHeritable variation permits cumulative selectionclaimSelection changes representation through reproductionclaimFitness concerns reproductive output in an environmentclaimOrganism–environment interactions provide selectionclaimSelection does not require a champion individualclaimOrganisms allocate finite resource budgetsclaimEnergy intake is an intermediate performance measureclaimForaging models can exploit environmental regularityclaimTravel consumes time and can impose other costsclaimTravel time changes a model’s patch-residence predictionclaimEssential nutrients can constrain energy maximizationclaimOptimal-foraging conclusions inherit their assumptionsclaimShannon entropyconceptKullback–Leibler divergenceconceptross · meta searchclaimross · scopeclaimwm · classical conditionsclaimwm · biological conditionsclaimwm · selfplay endpointclaimwm · biological exceptionclaimtheobald · valid identityclaimtheobald · false covarianceclaimem · oracle orderclaimmde · s4s measureclaimphysical costclaimtsp special caseclaimlearned route improvementclaimno global optimum neededclaimenergy reproduction bridgeclaimheritable selection responseclaims4s applicability gapclaimno recursive evaluator prerequisiteclaimcounterregimesclaimSimulation of biological evolution under attack, but not really: a response to MeestersourceIntroduction to Evolutionary InformaticssourceEvolutionsourcePrinciples of Animal BehaviorsourceFitness surfaces and searches: Dembski, Ewert, and Marks’s search for designsourceConservation of Information in Coevolutionary SearchessourceKinematic flexibility allows bumblebees to increase energetic efficiency when carrying heavy loadssourceForaging Behavior of a Central-Place Forager: Field Tests of Theoretical PredictionssourceFast learning in free-foraging bumble bees is negatively correlated with lifetime resource collectionsourceTrade-off between travel distance and prioritization of high-reward sites in traplining bumblebeessourceRadar Tracking and Motion-Sensitive Cameras on Flowers Reveal the Development of Pollinator Multi-Destination Routes over Large Spatial ScalessourceThe correlation of learning speed and natural foraging success in bumble-beessourceCentral place foraging theory: When load size affects travel timesourceContinuous Radar Tracking Illustrates the Development of Multi-destination Routes of BumblebeessourcePhysical foraging costs: conditional selection model and exact checkssourceFormal counters to biological restrictions: proofs, checks, and limitssourceEvolutionary BiologysourceUnderstanding Natural Selection: Essential Concepts and Common MisconceptionssourceA No-Free-Lunch Theorem for Non-Uniform Distributions of Target FunctionssourceEvolutionary EcologysourceSearching for Search Algorithms: Experiments in Meta-searchsourceOn the increase of biological information due to selectionsourceAdaptation and Natural SelectionsourceCoevolutionary Free 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