Title
Statistical Interaction Modeling of Bovine Herd Behaviors
Abstract
While there has been interest in modeling the group behavior of herds or flocks, much of this work has focused on simulating their collective spatial motion patterns, which have not accounted for individuality in the herd and instead assume a homogenized role for all members or subgroups of the herd. Animal behavior experts have noted that domestic animals exhibit behaviors that are indicative of social hierarchy: leader/follower type behaviors are present as well as dominance and subordination, aggression and rank order, and specific social affiliations may also exist. Both wild and domestic cattle are social species, and group behaviors are likely to be influenced by the expression of specific social interactions. In this paper, global positioning system coordinate fixes gathered from a herd of beef cows tracked in open fields over several days at a time are utilized to learn a model that focuses on the interactions within the herd as well as its overall movement. Using these data, in this way, explores the validity of existing group behavior models against actual herding behaviors. Domain knowledge, location geography, and human observations are utilized to explain the causes of these deviations from this idealized behavior.
Year
DOI
Venue
2011
10.1109/TSMCC.2010.2073464
Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions
Keywords
Field
DocType
social species,group behavior model,statistical interaction modeling,follower type behavior,animal behavior expert,social hierarchy,actual herding behavior,bovine herd behaviors,specific social affiliation,group behavior,idealized behavior,domestic animals exhibit behavior,statistical analysis,data models,behavioral science,global positioning system,markov process,markov processes,herd behavior,agriculture,data model,statistics
Social psychology,Flock,Herding,Artificial intelligence,Hierarchy,Geography,Herd,Domain knowledge,Ranking,Simulation,Behavioural sciences,Aggression,Machine learning
Journal
Volume
Issue
ISSN
41
6
1094-6977
Citations 
PageRank 
References 
3
0.40
6
Authors
8
Name
Order
Citations
PageRank
Bruce Stephen1358.23
Cathy Dwyer230.40
Jimmy Hyslop330.40
Matthew Bell420538.73
David Ross530.40
Kae Hsiang Kwong63910.64
Craig Michie7155.78
Ivan Andonovic86016.05