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  1. Gaps in the optimization approach to behavior.Patrick Colgan & Ian Jamieson - 1991 - Behavioral and Brain Sciences 14 (1):95-96.
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  • Modeling behavioral adaptations.Colin W. Clark - 1991 - Behavioral and Brain Sciences 14 (1):85-93.
    Optimization models have often been useful in attempting to understand the adaptive significance of behavioral traits. Originally such models were applied to isolated aspects of behavior, such as foraging, mating, or parental behavior. In reality, organisms live in complex, ever-changing environments, and are simultaneously concerned with many behavioral choices and their consequences. This target article describes a dynamic modeling technique that can be used to analyze behavior in a unified way. The technique has been widely used in behavioral studies of (...)
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  • Dynamic optimization: Let's get on with the job.Colin W. Clark - 1991 - Behavioral and Brain Sciences 14 (1):110-117.
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  • Learning and incremental dynamic programming.Andrew G. Barto - 1991 - Behavioral and Brain Sciences 14 (1):94-95.
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  • Organism-environment mutuality epistemics, and the concept of an ecological niche.Thomas R. Alley - 1985 - Synthese 65 (3):411 - 444.
    The concept of an ecological niche (econiche) has been used in a variety of ways, some of which are incompatible with a relational or functional interpretation of the term. This essay seeks to standardize usage by limiting the concept to functional relations between organisms and their surroundings, and to revise the concept to include epistemic relations. For most organisms, epistemics are a vital aspect of their functional relationships to their surroundings and, hence, a major determinant of their econiche. Rejecting the (...)
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  • Dynamic models of behavior: Promising but risky.Thomas R. Alley - 1991 - Behavioral and Brain Sciences 14 (1):94-94.
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  • On the distinction between niche and competitive ability: Implications for coexistence theory.Lonnie W. Aarssen - 1984 - Acta Biotheoretica 33 (2):67-83.
    The meaning of niche and competitive ability have long been surrounded by controversy. The reason for this stems from the obscure relationship that exists between these terms. This extends from the views of Darwin through Eltonian tradition to current views in which the meaning of competitive ability is implicitly infused into the paradigm of niche. Distinct operational definitions for niche and competitive ability are therefore established with special reference to plants. It is proposed that potential niche refer explicitly to a (...)
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  • Ontological Foundations of Competition.Tiago Prince Sales, Daniele Porello, Nicola Guarino, Giancarlo Guizzardi & John Mylopoulos - 2018 - In Stefano Borgo, Pascal Hitzler & Oliver Kutz (eds.), Formal Ontology in Information Systems: Proceedings of the 10th International Conference (FOIS 2018). IOS Press. pp. 96-112.
    It is widely recognized that accurately identifying and classifying competitors is a challenge for many companies and entrepreneurs. Nonetheless, it is a paramount activity which provide valuable insights that affect a wide range of strategic decisions. One of the main challenges in competitor identification lies in the complex nature of the competitive relationships that arise in business envi- ronments. These have been extensively investigate over the years, which lead to a plethora of competition theories and frameworks. Still, the concept of (...)
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  • Testing predictions and gaining insights from dynamic state-variable models.R. C. Ydenberg - 1991 - Behavioral and Brain Sciences 14 (1):109-110.
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  • Using models of behavior in optimal fashion.Joseph Travis - 1991 - Behavioral and Brain Sciences 14 (1):108-109.
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  • Modeling change in biology and psychology.James T. Townsend - 1991 - Behavioral and Brain Sciences 14 (1):108-108.
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  • Variational principles, behavioural adaptations and selection hierarchies.Eörs Szathmáry - 1991 - Behavioral and Brain Sciences 14 (1):107-108.
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  • Pitfalls and promises of behavioral modeling.Judy Stamps - 1991 - Behavioral and Brain Sciences 14 (1):106-107.
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  • A not so backward way of thinking.Peter D. Sozou & Joanna W. Byrd - 1991 - Behavioral and Brain Sciences 14 (1):106-106.
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  • Short-term behavior and long-term consequences.Paul Schmid-Hempel - 1991 - Behavioral and Brain Sciences 14 (1):105-106.
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  • Rule of thumb.Jonathan Roughgarden - 1991 - Behavioral and Brain Sciences 14 (1):104-105.
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  • State variable models are powerful, not perfect.Lloyd D. Partridge - 1991 - Behavioral and Brain Sciences 14 (1):104-104.
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  • The “crooked bookie” cycle.F. J. Odling-Smee - 1991 - Behavioral and Brain Sciences 14 (1):103-103.
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  • Models are just prostheses for our brains.Manfred Milinski - 1991 - Behavioral and Brain Sciences 14 (1):101-101.
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  • Let evolution take care of its own.Geoffrey F. Miller & Peter M. Todd - 1991 - Behavioral and Brain Sciences 14 (1):101-102.
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  • Limits to stochastic dynamic programming.Ruth H. Mace & William J. Sutherland - 1991 - Behavioral and Brain Sciences 14 (1):101-101.
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  • Modeling adaptation in the next generation: A developmental perspective.Mark L. Howe, William A. Montevecchi, F. Michael Rabsnowitz & Michael J. Stones - 1991 - Behavioral and Brain Sciences 14 (1):100-101.
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  • The next state of the art.Alasdair I. Houston & John M. McNamara - 1991 - Behavioral and Brain Sciences 14 (1):100-100.
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  • Dynamic models, fitness functions and food storing.Christine L. Hitchcock & David F. Sherry - 1991 - Behavioral and Brain Sciences 14 (1):99-99.
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  • Can dynamic optimization cope with ecological complexity.Stefano Focardi - 1991 - Behavioral and Brain Sciences 14 (1):98-99.
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  • Rules of choice.Edmund Fantino - 1991 - Behavioral and Brain Sciences 14 (1):97-98.
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  • Dynamic programming, limited information and behavioral modeling.Bradley W. Dickinson - 1991 - Behavioral and Brain Sciences 14 (1):96-97.
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  • Holism and Reductionism in Biology and Ecology the Mutual Dependence of Higher and Lower Level Research Programmes.Rick C. Looijen - 2000 - Springer.
    Holism and reductionism are usually seen as opposite and mutually exclusive approaches to nature. Recently, some have come to see them as complementary rather than mutually exclusive. In this book I have argued that, even stronger, they should be seen as mutually dependent and co-operating research programmes. I have discussed holism and reductionism in biology in general and in ecology in particular. After an introductory chapter I have provided an overview of holistic and reductionistic positions in biology, and of the (...)
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