Theoretical predictions strongly support decision accuracy as a major driver of ecological specialization

Proceedings of the National Academy of Sciences of the United States of America

Volumn 106, Issue 14, 2009, Pages 5698-5702

  Tosh, Colin R ^a   Krause, Jens ^a   Ruxton, Graeme D ^b  

^a UNIVERSITY OF LEEDS   (United Kingdom)

^b UNIVERSITY OF GLASGOW   (United Kingdom)

Author keywords

Ecological range; Generalization; Herbivore; Neural limitations; Plant

Indexed keywords

ACCURACY; ANIMAL; ARTICLE; ARTIFICIAL NEURAL NETWORK; CONCEPTUAL FRAMEWORK; CONTROLLED STUDY; ECOLOGICAL SPECIALIZATION; PRIORITY JOURNAL; RESOURCE ALLOCATION;

ANIMALS; BEHAVIOR, ANIMAL; BIOLOGICAL EVOLUTION; COGNITION; COMPUTER SIMULATION; DECISION MAKING; ECOLOGY; MODELS, THEORETICAL; NEURAL NETWORKS (COMPUTER); PUNISHMENT; REWARD;

ANIMALIA;

EID: 65249096141     PISSN: 00278424     EISSN: 10916490     Source Type: Journal    
DOI: 10.1073/pnas.0807247106     Document Type: Article

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