Literature DB >> 19683827

Integrating function and mechanism.

John M McNamara1, Alasdair I Houston.   

Abstract

Behavioural ecology often makes the assumption that animals can respond flexibly by adopting the optimal behaviour for each circumstance. However, as ethologists have long known, behaviour is determined by mechanisms that are not optimal in every circumstance. As we discuss here, we believe that it is necessary to integrate these separate traditions by considering the evolution of mechanisms, an approach referred to as 'Evo-mecho'. This integration is timely because there is a growing awareness of the importance of environmental complexity in shaping behaviour; there are established and effective computational procedures for simulating evolution and there is rapidly increasing knowledge of the neuronal basis of decision-making. Although behavioural ecologists have built complex models of optimal behaviour in simple environments, we argue that they need to focus on simple mechanisms that perform well in complex environments.

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Year:  2009        PMID: 19683827     DOI: 10.1016/j.tree.2009.05.011

Source DB:  PubMed          Journal:  Trends Ecol Evol        ISSN: 0169-5347            Impact factor:   17.712


  65 in total

1.  Evolution of self-organized division of labor in a response threshold model.

Authors:  Ana Duarte; Ido Pen; Laurent Keller; Franz J Weissing
Journal:  Behav Ecol Sociobiol       Date:  2012-03-22       Impact factor: 2.980

2.  The importance of mechanisms for the evolution of cooperation.

Authors:  Pieter van den Berg; Franz J Weissing
Journal:  Proc Biol Sci       Date:  2015-08-22       Impact factor: 5.349

3.  Preys' exploitation of predators' fear: when the caterpillar plays the Gruffalo.

Authors:  Sergio Castellano; Paolo Cermelli
Journal:  Proc Biol Sci       Date:  2015-12-07       Impact factor: 5.349

4.  The evolution of sensitive periods in a model of incremental development.

Authors:  Karthik Panchanathan; Willem E Frankenhuis
Journal:  Proc Biol Sci       Date:  2016-01-27       Impact factor: 5.349

5.  Towards a richer evolutionary game theory.

Authors:  John M McNamara
Journal:  J R Soc Interface       Date:  2013-08-21       Impact factor: 4.118

6.  The role of beginner's luck in learning to prefer risky patches by socially foraging house sparrows.

Authors:  Tomer Ilan; Edith Katsnelson; Uzi Motro; Marcus W Feldman; Arnon Lotem
Journal:  Behav Ecol       Date:  2013-09-10       Impact factor: 2.671

Review 7.  The levels of analysis revisited.

Authors:  Scott A MacDougall-Shackleton
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2011-07-27       Impact factor: 6.237

8.  Sexual conflict over parental care promotes the evolution of sex differences in care and the ability to care.

Authors:  John M McNamara; Max Wolf
Journal:  Proc Biol Sci       Date:  2015-03-22       Impact factor: 5.349

Review 9.  Foraging for foundations in decision neuroscience: insights from ethology.

Authors:  Dean Mobbs; Pete C Trimmer; Daniel T Blumstein; Peter Dayan
Journal:  Nat Rev Neurosci       Date:  2018-07       Impact factor: 34.870

10.  Stress, drugs and the evolution of reproductive restraint in malaria parasites.

Authors:  Sarah E Reece; Eltayeb Ali; Petra Schneider; Hamza A Babiker
Journal:  Proc Biol Sci       Date:  2010-05-19       Impact factor: 5.349

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