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Environmental variability and primate behavioural flexibility

In Simon M. Reader & Kevin N. Laland (eds.), Animal Innovation. Oxford University Press (2003)

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  1. Defining and detecting innovation: Are cognitive and developmental mechanisms important?Brooke L. Sargeant & Janet Mann - 2007 - Behavioral and Brain Sciences 30 (4):423-424.
    Although the authors' ingenuity in identifying criteria for innovation for field studies is appealing, most field studies will lack adequate data. Additionally, their definition does not clearly distinguish innovation from individual learning and is vague about cognitive mechanisms involved. We suggest that developmental data are essential to identifying the causes and consequences of learning new behaviors.
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  • Innovation and the grain problem.Anne Russon, Kristin Andrews & Brian Huss - 2007 - Behavioral and Brain Sciences 30 (4):422-423.
    Our concern is with Ramsey et al.'s method for identifying innovation. We show that either it yields false positives or the authors offer insufficient guidance for its application. To avoid these results, the authors need to modify the key or offer better guidelines for delineating input. Either choice requires addressing the processes that generate a behavior.
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  • Environmentally invoked innovation and cognition.Simon M. Reader - 2007 - Behavioral and Brain Sciences 30 (4):420-421.
    Behavioral innovations induced by the social or physical environment are likely to be of great functional and evolutionary importance, and thus warrant serious attention. Innovation provides a process by which animals can adjust to changed environments. Despite this apparent adaptive advantage, it is not known whether innovative propensities are adaptive specializations. Furthermore, the varied psychological processes underlying innovation remain poorly understood.
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  • On the concept of animal innovation and the challenge of studying innovation in the wild.Grant Ramsey, Meredith L. Bastian & Carel van Schaik - 2007 - Behavioral and Brain Sciences 30 (4):425-432.
    The commentaries have both drawn out the implications of, and challenged, our definition and operationalization of innovation. In this response, we reply to these concerns, discuss the differences between our operationalization and the preexisting operationalization if innovation, and make suggestions for the advancement of the challenging and exciting field of animal innovation.
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  • Animal innovation defined and operationalized.Grant Ramsey, Meredith L. Bastian & Carel van Schaik - 2007 - Behavioral and Brain Sciences 30 (4):393-407.
    Innovation is a key component of most definitions of culture and intelligence. Additionally, innovations may affect a species' ecology and evolution. Nonetheless, conceptual and empirical work on innovation has only recently begun. In particular, largely because the existing operational definition (first occurrence in a population) requires long-term studies of populations, there has been no systematic study of innovation in wild animals. To facilitate such study, we have produced a new definition of innovation: Innovation is the process that generates in an (...)
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  • Individual invention versus socio-ecological innovation: Unifying the behavioral and evolutionary sciences.Lauren McCall - 2007 - Behavioral and Brain Sciences 30 (4):418-419.
    Great promise for the evolutionary analysis of animal behavior lies in the distinction between generative novelties and the evolutionary innovations to which they can give rise. Ramsey et al. succeed in emphasizing the contribution of individual learning and intelligence to behavioral innovations, but do not correct the tendency to confound individual invention with socio-ecological or group-level innovation.
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  • Objectivism should not be a casualty of innovation's operationalization.Rachel L. Kendal, Lewis Dean & Kevin N. Laland - 2007 - Behavioral and Brain Sciences 30 (4):413-414.
    We agree with Ramsey et al. regarding the need for new methods and concepts in the study of innovation, and welcome their initiative, but are concerned that their operationalization is over-reliant on subjective judgements.
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  • Précis of evolution in four dimensions.Eva Jablonka & Marion J. Lamb - 2007 - Behavioral and Brain Sciences 30 (4):353-365.
    In his theory of evolution, Darwin recognized that the conditions of life play a role in the generation of hereditary variations, as well as in their selection. However, as evolutionary theory was developed further, heredity became identified with genetics, and variation was seen in terms of combinations of randomly generated gene mutations. We argue that this view is now changing, because it is clear that a notion of hereditary variation that is based solely on randomly varying genes that are unaffected (...)
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  • Social Learning and Innovation in Adolescence.Bonnie Hewlett - 2021 - Human Nature 32 (1):239-278.
    This paper examines how innovative skills and knowledge are transmitted and acquired among adolescents in two hunter-gatherer communities, the Aka of southern Central African Republic and the Chabu of southwestern Ethiopia. Modes of transmission and processes of social learning are addressed. Innovation as well as social learning have been hypothesized to be key features of human cumulative culture, enhancing the fitness and survival of individuals in diverse environments. The innovation literature indicates adult males are more innovative than children and female (...)
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  • The Driving Forces of Cultural Complexity.Laurel Fogarty, Joe Yuichiro Wakano, Marcus W. Feldman & Kenichi Aoki - 2017 - Human Nature 28 (1):39-52.
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