Results for 'Optimal foraging'

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  1.  46
    Choice, optimal foraging, and the delay-reduction hypothesis.Edmund Fantino & Nureya Abarca - 1985 - Behavioral and Brain Sciences 8 (2):315-330.
  2.  25
    Optimal foraging theory and economics: a historical note.Joachim Dagg - unknown
    This study sheds a light on economic roots of optimal foraging/mating theory. Two examples show graphical optimisation models of behavioural ecology that are identical to much older ones of economics. The knowledge transfer has been conscious and explicit in some cases, but also less visible in others. This does no imply plagiarism or misconduct but merely shows how knowledge can diffuse along obscure, sometimes unconscious, routes of non-public and private communication.
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  3.  19
    Optimal foraging in semantic memory.Thomas T. Hills, Michael N. Jones & Peter M. Todd - 2012 - Psychological Review 119 (2):431-440.
  4.  25
    Optimal foraging for operant conditioners.James N. McNair - 1985 - Behavioral and Brain Sciences 8 (2):343-344.
  5.  32
    Random walks on semantic networks can resemble optimal foraging.Joshua T. Abbott, Joseph L. Austerweil & Thomas L. Griffiths - 2015 - Psychological Review 122 (3):558-569.
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  6.  28
    Methodological problems in evolutionary biology. XI. optimal foraging theory revisited.Wim J. van der Steen - 1998 - Acta Biotheoretica 46 (4):321-336.
    Optimality theory, particularly optimal foraging theory (OFT), has spurned controversy over decades. I argue that the controversy results from conceptual pitfalls. The focus in this article is on pitfalls underlying the concept of constraint. Constraints in OFT models are a means to distinguish between possible and impossible behaviours. I argue that the seemingly innocuous notion of (im)possibility is tricky. It is indeed linked here with troublesome philosophical problems concerning free will. To steer away from such problems in OFT, (...)
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  7.  58
    When and why do people avoid unknown probabilities in decisions under uncertainty? Testing some predictions from optimal foraging theory.Catrin Rode, Leda Cosmides, Wolfgang Hell & John Tooby - 1999 - Cognition 72 (3):269-304.
  8.  19
    On the nature of support for optimal foraging theory.John Hanson - 1985 - Behavioral and Brain Sciences 8 (2):338-339.
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  9.  21
    Rate of reinforcement matters in optimal foraging theory.Alejandro Kacelnik & John R. Krebs - 1985 - Behavioral and Brain Sciences 8 (2):340-341.
  10.  18
    Delay reduction: A field guide for optimal foragers?Peter R. Killeen - 1985 - Behavioral and Brain Sciences 8 (2):341-342.
  11.  68
    Optimality modelling in the real world.Jean-Sébastien Bolduc & Frank Cézilly - 2012 - Biology and Philosophy 27 (6):851-869.
    In a recent paper, Potochnik (Biol Philos 24(2):183–197, 2009) analyses some uses of optimality modelling in light of the anti-adaptationism criticism. She distinguishes two broad classes of such uses (weak and strong) on the basis of assumptions held by biologists about the role and the importance of natural selection. This is an interesting proposal that could help in the epistemological characterisation of some biological practices. However, Potochnik’s distinction also rests on the assumption that all optimality modelling represent the selection dynamic (...)
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  12.  27
    The Role of Semantic Clustering in Optimal Memory Foraging.Priscilla Montez, Graham Thompson & Christopher T. Kello - 2015 - Cognitive Science 39 (8):1925-1939.
    Recent studies of semantic memory have investigated two theories of optimal search adopted from the animal foraging literature: Lévy flights and marginal value theorem. Each theory makes different simplifying assumptions and addresses different findings in search behaviors. In this study, an experiment is conducted to test whether clustering in semantic memory may play a role in evidence for both theories. Labeled magnets and a whiteboard were used to elicit spatial representations of semantic knowledge about animals. Category recall sequences (...)
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  13.  73
    Foraging in Semantic Fields: How We Search Through Memory.Thomas T. Hills, Peter M. Todd & Michael N. Jones - 2015 - Topics in Cognitive Science 7 (3):513-534.
    When searching for concepts in memory—as in the verbal fluency task of naming all the animals one can think of—people appear to explore internal mental representations in much the same way that animals forage in physical space: searching locally within patches of information before transitioning globally between patches. However, the definition of the patches being searched in mental space is not well specified. Do we search by activating explicit predefined categories and recall items from within that category, or do we (...)
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  14.  70
    Information Foraging Across the Life Span: Search and Switch in Unknown Patches.Jessie Chin, Brennan R. Payne, Wai-Tat Fu, Daniel G. Morrow & Elizabeth A. L. Stine-Morrow - 2015 - Topics in Cognitive Science 7 (3):428-450.
    In this study, we used a word search puzzle paradigm to investigate age differences in the rate of information gain and the cues used to make patch-departure decisions in information foraging. The likelihood of patch departure increased as the profitability of the patch decreased generally. Both younger and older adults persisted past the point of optimality as defined by the marginal value theorem, which assumes perfect knowledge of the foraging ecology. Nevertheless, there was evidence that adults were rational (...)
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  15.  81
    Fishing for the Right Words: Decision Rules for Human Foraging Behavior in Internal Search Tasks.Andreas Wilke, John M. C. Hutchinson, Peter M. Todd & Uwe Czienskowski - 2009 - Cognitive Science 33 (3):497-529.
    Animals depleting one patch of resources must decide when to leave and switch to a fresh patch. Foraging theory has predicted various decision mechanisms; which is best depends on environmental variation in patch quality. Previously we tested whether these mechanisms underlie human decision making when foraging for external resources; here we test whether humans behave similarly in a cognitive task seeking internally generated solutions. Subjects searched for meaningful words made from random letter sequences, and as their success rate (...)
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  16.  57
    The Sunk-cost Effect as an Optimal Rate-maximizing Behavior.Theodore P. Pavlic & Kevin M. Passino - 2010 - Acta Biotheoretica 59 (1):53-66.
    Optimal foraging theory has been criticized for underestimating patch exploitation time. However, proper modeling of costs not only answers these criticisms, but it also explains apparently irrational behaviors like the sunk-cost effect. When a forager is sure to experience high initial costs repeatedly, the forager should devote more time to exploitation than searching in order to minimize the accumulation of said costs. Thus, increased recognition or reconnaissance costs lead to increased exploitation times in order to reduce the frequency (...)
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  17.  38
    Is Meat Flavor a Factor in Hunters' Prey Choice Decisions?Jeremy M. Koster, Jennie J. Hodgen, Maria D. Venegas & Toni J. Copeland - 2010 - Human Nature 21 (3):219-242.
    By focusing on the caloric composition of hunted prey species, optimal foraging research has shown that hunters usually make economically rational prey choice decisions. However, research by meat scientists suggests that the gustatory appeal of wildlife meats may vary dramatically. In this study, behavioral research indicates that Mayangna and Miskito hunters in Nicaragua inconsistently pursue multiple prey types in the optimal diet set. We use cognitive methods, including unconstrained pile sorts and cultural consensus analysis, to investigate the (...)
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  18.  55
    Semantic Search in the Remote Associates Test.Eddy J. Davelaar - 2015 - Topics in Cognitive Science 7 (3):494-512.
    Searching through semantic memory may involve the use of several retrieval cues. In a verbal fluency task, the set of available cues is limited and every candidate word is a target. Individuals exhibit clustering behavior as predicted by optimal foraging theory. In another semantic search task, the remote associates task, three cues are presented and a single target word has to be found. Whereas the task has been widely studied as a task of creativity or insight problem solving, (...)
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  19.  20
    Sharing, consumption, and patch choice on Ifaluk atoll.Richard Sosis - 2001 - Human Nature 12 (3):221-245.
    Anthropological tests of patch choice models from optimal foraging theory have primarily employed acquisition rates as the currency of the model. Where foragers share their returns, acquisition rates may not be similar to consumption rates and thus may not be an appropriate currency to use when modeling foraging decisions. Indeed, on Ifaluk Atoll the distribution patterns of fish vary by fishing method and location. Previous analyses of Ifaluk patch choice decisions suggested that if Ifaluk fishers are trying (...)
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  20.  23
    A framework for the functional analysis of behaviour.Alasdair I. Houston & John M. McNamara - 1988 - Behavioral and Brain Sciences 11 (1):117-130.
    We present a general framework for analyzing the contribution to reproductive success of a behavioural action. An action may make a direct contribution to reproductive success, but even in the absence of a direct contribution it may make an indirect contribution by changing the animal's state. We consider actions over a period of time, and define a reward function that characterizes the relationship between the animal's state at the end of the period and its future reproductive success. Working back from (...)
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  21. Dos usos de los modelos de optimalidad en las explicaciones por selección natural.Santiago Ginnobili & Ariel Roffé - 2017 - Metatheoria 8 (1):43-55.
    Resumen -/- El objetivo de este trabajo consiste en analizar las relaciones entre los modelos de optimalidad y la selección natural. Defenderemos que esas relaciones pueden dividirse en dos tipos, en tanto hay dos tipos de explicaciones seleccionistas, que llamaremos “históricas” y “ahistóricas”. Las explicaciones históricas revelan como una población dada adquiere un rasgo que es adaptativo en ese ambiente e involucran muchas generaciones, variación, etc. Las explicaciones ahistóricas, explican por qué, en determinado momento, ciertos tipos de organismos tienen un (...)
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  22. The Social Trackways Theory of the Evolution of Human Cognition.Kim Shaw-Williams - 2014 - Biological Theory 9 (1):16-26.
    Only our lineage has ever used trackways reading to find unseen and unheard targets. All other terrestrial animals, including our great ape cousins, use scent trails and airborne odors. Because trackways as natural signs have very different properties, they possess an information-rich narrative structure. There is good evidence we began to exploit conspecific trackways in our deep past, at first purely associatively, for safety and orienteering when foraging in vast featureless wetlands. Since our own old trackways were recognizable they (...)
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  23. Culture, adaptation, and innateness.Robert Boyd & Peter Richerson - 2005 - In Peter Carruthers, Stephen Laurence & Stephen P. Stich (eds.), The Innate Mind: Structure and Contents. New York, US: Oxford University Press USA.
    It is almost 30 years since the sociobiology controversy burst into full bloom. The modern theory of the evolution of animal behavior was born in the mid 1960’s with Bill Hamilton’s seminal papers on inclusive fitness and George William’s book Adaptation and Natural Selection. The following decade saw an avalanche of important ideas on the evolution of sex ratio, animal conflicts, parental investment, and reciprocity, setting off a revolution our understanding of animal societies, a revolution that is still going on (...)
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  24. Research on self-control: An integrating framework.A. W. Logue - 1988 - Behavioral and Brain Sciences 11 (4):665-679.
  25. Time and the Decider.David Spurrett - forthcoming - Behavioral and Brain Sciences.
    Shadmehr and Ahmed’s book is a welcome extension of optimal foraging theory and neuroeconomics, achieved by integrating both with parameters relating to effort and rate of movement. Their most persuasive and prolific data comes from saccades, where times before and after decision are reasonably determinate. Skeletal movements are less likely to exhibit such tidy temporal organisation.
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  26.  33
    Aboriginal overkill.Charles E. Kay - 1994 - Human Nature 5 (4):359-398.
    Prior to European influence, predation by Native Americans was the major factor limiting the numbers and distribution of ungulates in the Intermountain West. This hypothesis is based on analyses of (1) the efficiency of Native American predation, including cooperative hunting, use of dogs, food storage, use of nonungulate foods, and hunting methods; (2) optimal-foraging studies; (3) tribal territory boundary zones as prey reservoirs; (4) species ratios, and sex and age of aboriginal ungulate kills; (5) impact of European diseases (...)
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  27. Wolves and Dogs May Rely on Non-numerical Cues in Quantity Discrimination Tasks When Given the Choice.Dániel Rivas-Blanco, Ina-Maria Pohl, Rachel Dale, Marianne Theres Elisabeth Heberlein & Friederike Range - 2020 - Frontiers in Psychology 11.
    A wide array of species throughout the animal kingdom has shown the ability to distinguish between quantities. Aside from being important for optimal foraging decisions, this ability seems to also be of great relevance in group-living animals as it allows them to inform their decisions regarding engagement in between-group conflicts based on the size of competing groups. However, it is often unclear whether these animals rely on numerical information alone to make these decisions or whether they employ other (...)
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  28.  49
    The comparative psychology of intelligence.Euan M. Macphail - 1987 - Behavioral and Brain Sciences 10 (4):645.
  29.  8
    Aboriginal overkill.Charles E. Kay - 1994 - Human Nature 5 (4):359-398.
    Prior to European influence, predation by Native Americans was the major factor limiting the numbers and distribution of ungulates in the Intermountain West. This hypothesis is based on analyses of (1) the efficiency of Native American predation, including cooperative hunting, use of dogs, food storage, use of nonungulate foods, and hunting methods; (2) optimal-foraging studies; (3) tribal territory boundary zones as prey reservoirs; (4) species ratios, and sex and age of aboriginal ungulate kills; (5) impact of European diseases (...)
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  30. A Cultural Niche Construction Theory of Initial Domestication.Bruce D. Smith - 2011 - Biological Theory 6 (3):260-271.
    I present a general theory for the initial domestication of plants and animals that is based on niche construction theory and incorporates several behavioral ecological concepts, including central-place provisioning, resource catchment, resource ownership and defensibility, and traditional ecological knowledge. This theory provides an alternative to, and replacement for, current explanations, including diet breadth models of optimal foraging theory, that are based on an outmoded concept of asymmetrical adaptation and that attempt to explain domestication as an adaptive response to (...)
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  31.  26
    From opportunism to nascent conservation.William T. Vickers - 1994 - Human Nature 5 (4):307-337.
    Siona-Secoya hunters of the northwest Amazon strive to maximize short-term yields to provision their households with meat. The observed patterns of hunting more closely resemble the predictions of optimal foraging theory (OFT) than they do a conservation ethic. In the past the Siona-Secoya worried little about conservation because they believed that good shamans attracted abundant game. When hunting was poor, shamans performedyagé ceremonies and appealed to supernatural gamekeepers for the release of more animals from the underworld. The sustainability (...)
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  32. Methodological problems in evolutionary biology.Patsy Haccou & Wim J. Steen - 1992 - Acta Biotheoretica 40 (4).
    One of the major criticisms of optimal foraging theory (OFT) is that it is not testable. In discussions of this criticism opposing parties have confused methodological concepts and used meaningless biological concepts. In this paper we discuss such misunderstandings and show that OFr has an empirically testable, and even well-confirmed, general core theory. One of our main conclusions is that specific model testing should not be aimed at proving optimality, but rather at identifying the context in which certain (...)
     
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  33.  37
    A dynamic model of hypothermia as an adaptive response by small birds to winter conditions.N. J. Welton, A. I. Houston, J. Ekman & J. M. McNamara - 2002 - Acta Biotheoretica 50 (1):39-56.
    We present a dynamic programming model which is used to investigate hypothermia as an adaptive response by small passerine birds in winter. The model predicts that there is a threshold function of reserves during the night, below which it is optimal to enter hypothermia, and above which it is optimal to rest. This threshold function decreases during the night, with a particularly sharp drop at the end of the night, representing the time and energy costs associated with returning (...)
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  34.  7
    Movement vigor: Frameworks, exceptions, and nomenclature.Rory John Bufacchi & Gian Domenico Iannetti - 2021 - Behavioral and Brain Sciences 44:e126.
    Shadmehr and Ahmed cogently argue that vigor of appetitive movements is positively correlated with their value, and that value can therefore be inferred by measuring vigor. Here, we highlight three points to consider when interpreting this account: (1) The correlation between vigor and value is not obligatory, (2) the vigor effect also arises in frameworks other than optimal foraging, and (3) the term vigor can be misinterpreted, thereby affecting rigor.
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  35.  22
    Methodological problems in evolutionary biology.Patsy Haccou & Wim J. van der Steen - 1992 - Acta Biotheoretica 40 (4):285-295.
    One of the major criticisms of optimal foraging theory is that it is not testable. In discussions of this criticism opposing parties have confused methodological concepts and used meaningless biological concepts. In this paper we discuss such misunderstandings and show that OFr has an empirically testable, and even well-confirmed, general core theory. One of our main conclusions is that specific model testing should not be aimed at ‘proving’ optimality, but rather at identifying the context in which certain types (...)
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  36.  43
    Applying Behavioral Ecology and Behavioral Economics to Conservation and Development Planning: An Example from the Mikea Forest, Madagascar. [REVIEW]Bram Tucker - 2007 - Human Nature 18 (3):190-208.
    Governments and non-govermental organizations (NGOs) that plan projects to conserve the environment and alleviate poverty often attempt to modify rural livelihoods by halting activities they judge to be destructive or inefficient and encouraging alternatives. Project planners typically do so without understanding how rural people themselves judge the value of their activities. When the alternatives planners recommend do not replace the value of banned activities, alternatives are unlikely to be adopted, and local people will refuse to participate. Human behavioral ecology and (...)
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  37.  45
    Reinforcement Learning and Counterfactual Reasoning Explain Adaptive Behavior in a Changing Environment.Yunfeng Zhang, Jaehyon Paik & Peter Pirolli - 2015 - Topics in Cognitive Science 7 (2):368-381.
    Animals routinely adapt to changes in the environment in order to survive. Though reinforcement learning may play a role in such adaptation, it is not clear that it is the only mechanism involved, as it is not well suited to producing rapid, relatively immediate changes in strategies in response to environmental changes. This research proposes that counterfactual reasoning might be an additional mechanism that facilitates change detection. An experiment is conducted in which a task state changes over time and the (...)
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  38.  4
    Bumblebees Express Consistent, but Flexible, Speed-Accuracy Tactics Under Different Levels of Predation Threat.Mu-Yun Wang, Lars Chittka & Thomas C. Ings - 2018 - Frontiers in Psychology 9:368340.
    A speed-accuracy trade-off (SAT) in behavioural decisions is known to occur in a wide range of vertebrate and invertebrate taxa. Accurate decisions often take longer for a given condition, while fast decisions can be inaccurate in some tasks. Speed-accuracy tactics are known to vary consistently among individuals, and show a degree of flexibility during colour discrimination tasks in bees. Such individual flexibility in speed-accuracy tactics is likely to be advantageous for animals exposed to fluctuating environments, such as changes in predation (...)
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  39. Population size predicts technological complexity in Oceania.Michelle A. Kline & Robert Boyd - unknown
    Much human adaptation depends on the gradual accumulation of culturally transmitted knowledge and technology. Recent models of this process predict that large, well-connected populations will have more diverse and complex tool kits than small, isolated populations. While several examples of the loss of technology in small populations are consistent with this prediction, it found no support in two systematic quantitative tests. Both studies were based on data from continental populations in which contact rates were not available, and therefore these studies (...)
     
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  40.  42
    The value of fat reserves and the tradeoff between starvation and predation.John M. McNamara & Alasdair I. Houston - 1990 - Acta Biotheoretica 38 (1):37-61.
    It is shown that in a range of models, the probability that a forager dies from starvation is, to a good approximation, an exponential function of energy reserves. Using a time and energy budget for a 19g passerine, we explore the consequences, in terms of starvation and predation, of various levels of energy reserves. It is shown that there exists an optimal level L of reserves at which total mortality (starvation plus predation) is minimized. L increases when the environment (...)
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  41.  42
    Foragers and Their Tools: Risk, Technology and Complexity.Kim Sterelny - 2021 - Topics in Cognitive Science 13 (4):728-749.
    The subsistence technology of forager communities has varied greatly over space and time. This paper (i) reviews briefly the main causal factors the literature identifies as responsible for this variation; (ii) analyzes in some detail the most prominent idea in the literature on spatial variation:Complex technology is an adaptive response to elevated risks of subsistence failure; (iii) it argues that the alleged empirical support for this hypothesis depends on dubious proxies of risk; (iv) it argues that it fails to explain (...)
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  42.  8
    Random foraging and perceived randomness.Marshall Abrams - forthcoming - Philosophy of Science:1-14.
    Research in evolutionary ecology on random foraging seems to ignore the possibility that some random foraging is an adaptation not to environmental randomness, but to what Wimsatt called “perceived randomness”. This occurs when environmental features are unpredictable, whether physically random or not. Mere perceived randomness may occur, for example, due to effects of climate change or certain kinds of static landscape variation. I argue that an important mathematical model concerning random foraging doesn’t depend on environmental randomness, despite (...)
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  43.  31
    How foraging works: Uncertainty magnifies food-seeking motivation.Patrick Anselme & Onur Güntürkün - 2019 - Behavioral and Brain Sciences 42:1-106.
    Food uncertainty has the effect of invigorating food-related responses. Psychologists have noted that mammals and birds respond more to a conditioned stimulus that unreliably predicts food delivery, and ecologists have shown that animals consume and/or hoard more food and can get fatter when access to that resource is unpredictable. Are these phenomena related? We think they are. Psychologists have proposed several mechanistic interpretations, while ecologists have suggested a functional interpretation: The effect of unpredictability on fat reserves and hoarding behavior is (...)
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  44.  48
    Information foraging.Peter Pirolli & Stuart Card - 1999 - Psychological Review 106 (4):643-675.
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  45.  38
    Foraging for integration.Edmund Fantino & Ray Preston - 1988 - Behavioral and Brain Sciences 11 (4):683-684.
  46.  50
    Animal Foraging and the Evolution of Goal‐Directed Cognition.Thomas T. Hills - 2006 - Cognitive Science 30 (1):3-41.
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  47.  12
    Foraging for brain stimulation: toward a neurobiology of computation.C. R. Gallistel - 1994 - Cognition 50 (1-3):151-170.
  48. Optimal experience: psychological studies of flow in consciousness.Mihaly Csikszentmihalyi & Isabella Selega Csikszentmihalyi (eds.) - 1988 - New York: Cambridge University Press.
    What constitutes enjoyment of life? Optimal Experience: Psychological Studies of Flow in Consciousness offers a comprehensive survey of theoretical and empirical investigations of the "flow" experience, a desirable or optimal state of consciousness that enhances a person's psychic state. "Flow" can be said to occur when people are able to meet the challenges of their environment with appropriate skills, and accordingly feel a sense of well-being, a sense of mastery, and a heightened sense of self-esteem. The authors show (...)
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  49.  14
    Changes in Juvenile Foraging Behavior among the Hadza of Tanzania during Early Transition to a Mixed-Subsistence Economy.Trevor R. Pollom, Kristen N. Herlosky, Ibrahim A. Mabulla & Alyssa N. Crittenden - 2020 - Human Nature 31 (2):123-140.
    The Hadza foragers of Tanzania are currently experiencing a nutritional shift that includes the intensification of domesticated cultigens in the diet. Despite these changes, no study, to date, has examined the possible effects of this transition on the food collection behavior of young foragers. Here we present a cross-sectional study on foraging behavior taken from two time points, 2005 and 2017. We compare the number of days foraged and the type and amount of food collected for young foragers, aged (...)
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  50. Optimal representations and the Enhanced Indispensability Argument.Manuel Barrantes - 2019 - Synthese 196 (1):247-263.
    The Enhanced Indispensability Argument appeals to the existence of Mathematical Explanations of Physical Phenomena to justify mathematical Platonism, following the principle of Inference to the Best Explanation. In this paper, I examine one example of a MEPP—the explanation of the 13-year and 17-year life cycle of magicicadas—and argue that this case cannot be used defend the EIA. I then generalize my analysis of the cicada case to other MEPPs, and show that these explanations rely on what I will call ‘ (...) representations’, which are representations that capture all that is relevant to explain a physical phenomenon at a specified level of description. In the end, because the role of mathematics in MEPPs is ultimately representational, they cannot be used to support mathematical Platonism. I finish the paper by addressing the claim, advanced by many EIA defendants, that quantification over mathematical objects results in explanations that have more theoretical virtues, especially that they are more general and modally stronger than alternative explanations. I will show that the EIA cannot be successfully defended by appealing to these notions. (shrink)
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