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Collective Animal Behavior
A01=David J. T. Sumpter
Accuracy and precision
Addition
Ant
Ant colony
Apis florea
Approximation
Army ant
Attendance
Author_David J. T. Sumpter
Bark beetle
Behavior
Behavioral ecology
Bifurcation theory
Biology
Brood (honey bee)
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Central limit theorem
Co-operation (evolution)
Cockroach
Collective animal behavior
Collective behavior
Collective motion
Commodity
Competition
Computer simulation
Cooperation
Cost-benefit analysis
Counterintuitive
Customer
Decision-making
Differential equation
Dimension
Division of labour
Eciton burchellii
Emergence
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eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
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eq_science
Estimation
Eusociality
Evolution
Evolutionarily stable strategy
Evolutionary game theory
Experimental data
Explanation
Fire ant
Fitness function
Foraging
Frequency distribution
Harvester ant
Histogram
Honey bee
Inclusive fitness
Initial condition
Insect
Markov chain
Mathematical model
Mathematical optimization
Mathematics
Natural selection
Nonlinear system
Normal distribution
Odor
Parameter
Parasitism
Pharaoh ant
Phenomenon
Pheromone
Poisson distribution
Population model
Positive feedback
Power law
Predation
Prediction
Preferential attachment
Probability
Proportionality (mathematics)
Quantity
Rational agent
Reproductive success
Requirement
Self-organization
Shoaling and schooling
Small number
Social behavior
Stable distribution
Standard deviation
Supply (economics)
Supply and demand
Termite
Time evolution
Time series
Toy model
Trade-off
Waggle dance
Worker bee
Product details
- ISBN 9780691148434
- Weight: 454g
- Dimensions: 152 x 235mm
- Publication Date: 17 Oct 2010
- Publisher: Princeton University Press
- Publication City/Country: US
- Product Form: Paperback
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Fish travel in schools, birds migrate in flocks, honeybees swarm, and ants build trails. How and why do these collective behaviors occur? Exploring how coordinated group patterns emerge from individual interactions, Collective Animal Behavior reveals why animals produce group behaviors and examines their evolution across a range of species. Providing a synthesis of mathematical modeling, theoretical biology, and experimental work, David Sumpter investigates how animals move and arrive together, how they transfer information, how they make decisions and synchronize their activities, and how they build collective structures. Sumpter constructs a unified appreciation of how different group-living species coordinate their behaviors and why natural selection has produced these groups. For the first time, the book combines traditional approaches to behavioral ecology with ideas about self-organization and complex systems from physics and mathematics. Sumpter offers a guide for working with key models in this area along with case studies of their application, and he shows how ideas about animal behavior can be applied to understanding human social behavior.
Containing a wealth of accessible examples as well as qualitative and quantitative features, Collective Animal Behavior will interest behavioral ecologists and all scientists studying complex systems.
David J. T. Sumpter is professor of applied mathematics at Uppsala University in Sweden.
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