Multi-scale Inference of Interaction Rules in Animal Groups Using Bayesian Model Selection

PLoS Computational Biology

Volumn 9, Issue 3, 2013, Pages

  Mann, Richard P ^a   Perna, Andrea ^a   Strömbom, Daniel ^a   Garnett, Roman ^b   Herbert Read, James E ^c   Sumpter, David J T ^a   Ward, Ashley J W ^c  

^a UPPSALA UNIVERSITY   (Sweden)

^b CARNEGIE MELLON UNIVERSITY   (United States)

^c UNIVERSITY OF SYDNEY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; LARGE SCALE SYSTEMS; MEAN FIELD THEORY;

ANIMAL GROUPS; BAYESIAN MODEL SELECTION; COLLECTIVE MOTIONS; FINE-SCALE; INTERACTION RULES; MEAN FIELD MODELS; MULTI-SCALES; NON-MARKOVIAN MODELING; PARTICLE MODELING; SELF-PROPELLED PARTICLES;

MARKOV PROCESSES;

ACCURACY; ANIMAL BEHAVIOR; ANIMAL EXPERIMENT; ARTICLE; BAYES THEOREM; BEHAVIOR CHANGE; BODY MOVEMENT; COMPARATIVE STUDY; CONTROLLED STUDY; HIDDEN MARKOV MODEL; LARGE SCALE PRODUCTION; MATHEMATICAL MODEL; MEAN FIELD MODEL; NON MARKOVIAN MODEL; NONHUMAN; NULL MODEL; ORGANISMAL INTERACTION; PARATYA AUSTRALIENSIS; PHASE TRANSITION; PREDICTIVE VALUE; PROBABILITY; REPRODUCIBILITY; SHRIMP; SIMULATION; SPATIAL MODEL; TOPOLOGICAL MODEL;

EID: 84875989689     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1002961     Document Type: Article

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