Bayesian approximations and extensions: Optimal decisions for small brains and possibly big ones too

Journal of Theoretical Biology

Volumn 259, Issue 3, 2009, Pages 503-516

  Lange, Alexander ^a   Dukas, Reuven ^a  

^a MCMASTER UNIVERSITY   (Canada)

Author keywords

Bayes; Computer simulation; Conditional probability; Fruit flies; Knowledge; Learning; Memory; Optimization; Population dynamics

Indexed keywords

BAYESIAN ANALYSIS; DECISION MAKING; KNOWLEDGE; LEARNING; MEMORY; NUMERICAL MODEL; OPTIMIZATION;

ALGORITHM; ARTICLE; BAYESIAN LEARNING; COMPUTER SIMULATION; CONCEPTUAL FRAMEWORK; DECISION SUPPORT SYSTEM; DROSOPHILA; EXPERIENTIAL LEARNING; INTERMETHOD COMPARISON; LEARNING STYLE; MATHEMATICAL ANALYSIS; MEMORY; NONHUMAN; POPULATION DYNAMICS; PRIORITY JOURNAL; PROBABILITY; PROCESS OPTIMIZATION; TASK PERFORMANCE;

ANIMALS; BAYES THEOREM; BRAIN; COMPUTER SIMULATION; DECISION MAKING; FEMALE; KNOWLEDGE; LEARNING; MALE; MEMORY; MODELS, PSYCHOLOGICAL; ORGAN SIZE; SEXUAL BEHAVIOR, ANIMAL;

ANIMALIA;

EID: 67649973631     PISSN: 00225193     EISSN: 10958541     Source Type: Journal    
DOI: 10.1016/j.jtbi.2009.03.020     Document Type: Article

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