Relevant bibliographies by topics / Animal behaviour modelling

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Animal behaviour modelling'

Author: Grafiati
Published: 4 June 2021
Last updated: 12 February 2022

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Journal articles on the topic "Animal behaviour modelling"

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Sumpter, David J. T., Richard P. Mann, and Andrea Perna. "The modelling cycle for collective animal behaviour." Interface Focus 2, no. 6 (2012): 764–73. http://dx.doi.org/10.1098/rsfs.2012.0031.

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Collective animal behaviour is the study of how interactions between individuals produce group level patterns, and why these interactions have evolved. This study has proved itself uniquely interdisciplinary, involving physicists, mathematicians, engineers as well as biologists. Almost all experimental work in this area is related directly or indirectly to mathematical models, with regular movement back and forth between models, experimental data and statistical fitting. In this paper, we describe how the modelling cycle works in the study of collective animal behaviour. We classify studies as
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Matetić, Maja, Slobodan Ribarić, and Ivo Ipšić. "Qualitative Modelling and Analysis of Animal Behaviour." Applied Intelligence 21, no. 1 (2004): 25–44. http://dx.doi.org/10.1023/b:apin.0000027765.12621.6f.

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Mäekivi, Nelly. "Modelling Ex Situ Animal Behaviour and Communication." Biosemiotics 9, no. 2 (2016): 207–26. http://dx.doi.org/10.1007/s12304-016-9264-5.

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Smouse, Peter E., Stefano Focardi, Paul R. Moorcroft, John G. Kie, James D. Forester, and Juan M. Morales. "Stochastic modelling of animal movement." Philosophical Transactions of the Royal Society B: Biological Sciences 365, no. 1550 (2010): 2201–11. http://dx.doi.org/10.1098/rstb.2010.0078.

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Modern animal movement modelling derives from two traditions. Lagrangian models, based on random walk behaviour, are useful for multi-step trajectories of single animals. Continuous Eulerian models describe expected behaviour, averaged over stochastic realizations, and are usefully applied to ensembles of individuals. We illustrate three modern research arenas. (i) Models of home-range formation describe the process of an animal ‘settling down’, accomplished by including one or more focal points that attract the animal's movements. (ii) Memory-based models are used to predict how accumulated e
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Ravignani, Andrea, and Koen de Reus. "Modelling Animal Interactive Rhythms in Communication." Evolutionary Bioinformatics 15 (January 2019): 117693431882355. http://dx.doi.org/10.1177/1176934318823558.

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Time is one crucial dimension conveying information in animal communication. Evolution has shaped animals’ nervous systems to produce signals with temporal properties fitting their socio-ecological niches. Many quantitative models of mechanisms underlying rhythmic behaviour exist, spanning insects, crustaceans, birds, amphibians, and mammals. However, these computational and mathematical models are often presented in isolation. Here, we provide an overview of the main mathematical models employed in the study of animal rhythmic communication among conspecifics. After presenting basic definitio
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Taylor, R. A. J., Marc Mangel, and Colin W. Clark. "Dynamic Modelling in Behaviour Ecology." Journal of Animal Ecology 59, no. 3 (1990): 1200. http://dx.doi.org/10.2307/5050.

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Ruxton, Graeme D., John D. Armstrong, and Stuart Humphries. "Modelling territorial behaviour of animals in variable environments." Animal Behaviour 58, no. 1 (1999): 113–20. http://dx.doi.org/10.1006/anbe.1999.1114.

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Clark, Colin W. "Modelling the behaviour of fishers and fishes." ICES Journal of Marine Science 75, no. 3 (2017): 932–40. http://dx.doi.org/10.1093/icesjms/fsx212.

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Abstract I describe my personal evolution as a modeller of behaviour, both human and (non-human) animal behaviour, using dynamic state-variable models. At first I worked in renewable resource Economics, especially the economics of marine fisheries where I collaborated extensively with Gordon R. Munro. Subsequently, in collaboration with Marc Mangel (and many field biologists) I worked in Behavioural Ecology. Mathematical models have played a major role in both of these subjects, but until recently mostly static models were used, on the grounds that dynamic (not to mention stochastic) models we
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Browne, K. A., M. N. Tamburri, and R. K. Zimmer-Faust. "Modelling quantitative structure-activity relationships between animal behaviour and environmental signal molecules." Journal of Experimental Biology 201, no. 2 (1998): 245–58. http://dx.doi.org/10.1242/jeb.201.2.245.

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Quantitative structure-activity relationships (QSARs) between the physicochemical properties of environmental signal molecules and animal behaviour have been determined. Past work has shown that oyster and barnacle larval settlement and mud crab abdominal pumping (for larval dispersal) are stimulated by small peptide cues. In all the peptides examined that were active at ecologically relevant concentrations, arginine or lysine was found at the carboxy terminus, but the amino acids found at preceding positions were highly variable. We used the multivariate partial least squares algorithm to rel
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Larson, Stephen D., Padraig Gleeson, and André E. X. Brown. "Connectome to behaviour: modelling Caenorhabditis elegans at cellular resolution." Philosophical Transactions of the Royal Society B: Biological Sciences 373, no. 1758 (2018): 20170366. http://dx.doi.org/10.1098/rstb.2017.0366.

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It has been 30 years since the ‘mind of the worm’ was published in Philosophical Transactions B (White et al . 1986 Phil. Trans. R. Soc. Lond. B 314 , 1–340). Predicting Caenorhabditis elegans ' behaviour from its wiring diagram has been an enduring challenge since then. This special theme issue of Philosophical Transactions B combines research from neuroscientists, physicists, mathematicians and engineers to discuss advances in neural activity imaging, behaviour quantification and multiscale simulations, and how they are bringing the goal of whole-animal modelling at cellular resolution withi
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Dissertations / Theses on the topic "Animal behaviour modelling"

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Blackwell, Paul Gavin. "The stochastic modelling of social and territorial behaviour." Thesis, University of Nottingham, 1990. http://eprints.nottingham.ac.uk/13594/.

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This thesis considers mathematical models of the interaction between social and territorial behaviour in animals, mainly by probabilistic methods. Chapter 1 introduces the Resource Dispersion Hypothesis, which suggests that territorial behaviour plus dispersed food resources can explain the existence of social groups, and describes an existing model of the process, due to Carr and Macdonald. In Chapter 2 the model of Carr and Macdonald is analysed, and in Chapter 3 an improved model is suggested and its main properties derived, primarily using renewal theory. Chapters 4 and 5 consider various
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Sumida, Brian Hiroshi. "Models of decision making." Thesis, University of Oxford, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.329967.

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Mlynski, David. "On the multivariate analysis of animal networks." Thesis, University of Bath, 2016. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.690727.

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From the individual to species level, it is common for animals to have connections with one another. These connections can exist in a variety of forms; from the social relationships within an animal society, to hybridisation between species. The structure of these connections in animal systems can be depicted using networks, often revealing non-trivial structure which can be biologically informative. Understanding the factors which drive the structure of animal networks can help us understand the costs and benefits of forming and maintaining relationships. Multivariate modelling provides a mea
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Liljenstolpe, Carolina. "Consumer valuation studies and structural modelling of the pig industry : a focus on animal welfare /." Uppsala : Dept. of Economics, Swedish University of Agricultural Sciences, 2008. http://epsilon.slu.se/200835.pdf.

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Bottinelli, Arianna. "Modelling collective movement and transport network formation in living systems." Doctoral thesis, Uppsala universitet, Tillämpad matematik och statistik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-303943.

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The emergence of collective patterns from repeated local interactions between individuals is a common feature to most living systems, spanning a variety of scales from cells to animals and humans. Subjects of this thesis are two aspects of emergent complexity in living systems: collective movement and transport network formation. For collective movement, this thesis studies the role of movement-mediated information transfer in fish decision-making. The second project on collective movement takes inspiration from granular media and soft mode analysis and develops a new approach to describe the
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Lecheval, Valentin. "Experimental analysis and modelling of the behavioural interactions underlying the coordination of collective motion and the propagation of information in fish schools." Thesis, Toulouse 3, 2017. http://www.theses.fr/2017TOU30361/document.

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Les bancs de poissons sont des entités pouvant regrouper plusieurs milliers d'individus qui se déplacent de façon synchronisée, dans un environnement sujet à de multiples perturbations, qu'elles soient endogènes (e.g. le départ soudain d'un congénère) ou exogènes (e.g. l'attaque d'un prédateur). La coordination de ces bancs de poissons, décentralisée, n'est pas encore totalement comprise. Si les mécanismes sous-jacents aux interactions sociales proposés dans des travaux précédents reproduisent qualitativement les structures collectives observées dans la nature, la quantification de ces interac
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Astudillo, Fernandez Aina. "Influence of the Allee effect and collective behaviour on population dynamics: the case of the two-spotted spider mite." Doctoral thesis, Universite Libre de Bruxelles, 2011. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/209875.

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The Allee effect corresponds to a positive relationship between population size and individual fitness. This positive relationship can cause thresholds, that is, critical population sizes below which the population becomes extinct. For species submitted to the Allee effect, the formation and cohesion of groups is therefore crucial to survival. Animals can achieve this collective behaviour through local interactions. Each individual interacts locally with conspecifics and, at the scale of the group, a unity of behaviour emerges: the animals move together, rest in the same place, or choose the s
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McKeown, Jennifer J. "Modelling the evolution of sexual behaviour." Thesis, University of Stirling, 2014. http://hdl.handle.net/1893/21823.

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This thesis presents two studies where natural and sexual selection have interacted to evolve sexual behaviours. The thesis uses mathematical modelling to understand how these forces have caused each behaviour to evolve. This is useful because the results allow for reflection on the potential role of sexual selection in adaptation of these species to a changing environment. The first study is of early male arrival to spring breeding grounds in migratory avian species, this is termed protandry. The study explores the main hypotheses for avian protandry and then tests the susceptibility of each
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Toal, Mark. "The behaviour of radiocaesium in woodland ecosystems : measurement and modelling." Thesis, University of Liverpool, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.366731.

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Aarts, Geert. "Modelling space-use and habitat preference from wildlife telemetry data." Thesis, St Andrews, 2007. http://hdl.handle.net/10023/327.

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Books on the topic "Animal behaviour modelling"

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Modelling complex projects. Wiley, 2002.

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Williams, Terry. Modelling complex projects. Wiley, 2002.

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Williams, Terry. Modelling complex projects. Wiley, 2002.

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Williams, Terry. Modelling complex projects. Wiley, 2002.

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Modelling Complex Projects. Wiley & Sons, Incorporated, John, 2003.

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Bradstock, Ross A., A. Malcolm Gill, and Richard J. Williams, eds. Flammable Australia. CSIRO Publishing, 2012. http://dx.doi.org/10.1071/9780643104839.

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In Flammable Australia: Fire Regimes, Biodiversity and Ecosystems in a Changing World, leading researchers in fire ecology and management discuss how fire regimes have shaped and will continue to shape the distribution and abundance of Australia’s highly diverse plants and animals. Central to this is the exploration of the concept of the fire regime – the cumulative pattern of fires and their individual characteristics (fire type, frequency, intensity, season) and how variation in regime components affects landscapes and their constituent biota. 
 Contributions by 44 authors explore a wid
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Simpson, Stephen J., Carlos Ribeiro, and Daniel González-Tokman. Feeding behavior. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198797500.003.0008.

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Insects need to ingest nutrients at appropriate levels to attain a balanced diet and maximize fitness. They do so by integrated responses that involve physiological mechanisms for sensing current nutritional needs, releasing systemic signals, and producing specific appetites for key required nutrients. Historically, the study of insect feeding behavior was appreciated for its importance in the understanding and control of crop pests and disease vectors. However, current evidence has shown that some mechanisms regulating feeding are highly conserved in animals, from insects to humans, bringing
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(Editor), T. Kumazawa, L. Kruger (Editor), and K. Mizumura (Editor), eds. The Polymodal Receptor - A Gateway to Pathological Pain (Progress in Brain Research). Elsevier Science, 1996.

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Takao, Kumazawa, Kruger Lawrence, and Mizumura Kazue, eds. The polymodal receptor: A gateway to pathological pain. Elsevier, 1996.

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Book chapters on the topic "Animal behaviour modelling"

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Quinn, Matt, and Jason Noble. "Modelling Animal Behaviour in Contests: Conventions for Resource Allocation." In Advances in Artificial Life. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-44811-x_39.

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Gallagher, Elizabeth M., and Joanna J. Bryson. "Agent‐Based Modelling." In Encyclopedia of Animal Cognition and Behavior. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-47829-6_224-1.

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Jørgensen, Søren V., Yves Demazeau, Jakob Christensen-Dalsgaard, and John Hallam. "Biomimetic Agent Based Modelling Using Male Frog Calling Behaviour as a Case Study." In From Animals to Animats 13. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08864-8_9.

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Li, Cai, Robert Lowe, and Tom Ziemke. "Modelling Walking Behaviors Based on CPGs: A Simplified Bio-inspired Architecture." In From Animals to Animats 12. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33093-3_16.

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Tolkamp, B. J., J. A. Howie, and I. Kyriazakis. "Modelling short-term feeding behaviour." In Modelling nutrient digestion and utilisation in farm animals. Wageningen Academic Publishers, 2011. http://dx.doi.org/10.3920/978-90-8686-712-7_11.

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Nikodem, Jan. "Modelling of Collective Animal Behavior Using Relations and Set Theory." In Computer Aided Systems Theory - EUROCAST 2013. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-53856-8_14.

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Najar, T., M. Rejeb, and M. Ben M. Rad. "Modelling of the effects of heat stress on some feeding behaviour and physiological parameters in cows." In Modelling nutrient digestion and utilisation in farm animals. Wageningen Academic Publishers, 2011. http://dx.doi.org/10.3920/978-90-8686-712-7_14.

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Giger-Reverdin, S., M. Desnoyers, C. Duvaux-Ponter, and D. Sauvant. "Modelling within-day variability in feeding behaviour in relation to rumen pH: application to dairy goats receiving an acidogenic diet." In Modelling nutrient digestion and utilisation in farm animals. Wageningen Academic Publishers, 2011. http://dx.doi.org/10.3920/978-90-8686-712-7_13.

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Chon, Tae-Soo, and Hungsoo Kim. "Modelling animal behavior to monitor effects of stressors." In Developments in Environmental Modelling. Elsevier, 2015. http://dx.doi.org/10.1016/b978-0-444-63536-5.00005-3.

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Parrington, John. "Next Year’s Models." In Redesigning Life. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198766834.003.0006.

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Animal ‘models’ of health and disease have been central to biomedical science since at least when William Harvey used dogs to illustrate the fact that blood is pumped by the heart through the arteries and then through the veins back to the heart. In the 1980s, a major step forward came with the discovery of embryonic stem cells and ways to manipulate these genetically and then inject into mouse embryos, resulting in the creation of knockout and knockin mice with deletions, or more subtle changes, in specific genes. Unfortunately, it has been impossible to isolate embryonic stem cells from any other species besides mice, and more recently rats and humans. Yet rodents are far from the best animals for modelling, say the body’s metabolism or heart function and disease, or brain function and mental disorders. Instead, pigs and primates are potentially far better models for these respective areas of research. CRISPR/Cas genome editing has made it possible for the first time to create precisely genome edited versions of pigs, monkeys, and any other species that may provide a better model of specific aspects of human health and disease, than rodents. So genetically modified pigs might be used to study heart disease, but also provide hearts for human transplantation, while GM monkeys might help us better understand the biological basis of mental disorders such as depression or schizophrenia. However, this area of research is raising ethical issues about the creation of monkeys with human versions of particular genes, and how this might affect their behaviour and personality.
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Conference papers on the topic "Animal behaviour modelling"

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Scogings, Chris J., and Ken A. Hawick. "Modelling Predator Camouflage Behaviour and Tradeoffs in an Agent-based Animat Model." In Modelling and Simulation. ACTAPRESS, 2013. http://dx.doi.org/10.2316/p.2013.802-032.

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Rashid, Badar, Michel Destrade, and Michael D. Gilchrist. "Hyperelastic and Viscoelastic Properties of Brain Tissue in Tension." In ASME 2012 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/imece2012-85675.

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Mechanical characterization of brain tissue at high loading velocities is particularly important for modelling Traumatic Brain Injury (TBI). During severe impact conditions, brain tissue experiences a mixture of compression, tension and shear. Diffuse axonal injury (DAI) occurs in animals and humans when the strains and strain rates exceed 10% and 10/s, respectively. Knowing the mechanical properties of brain tissue at these strains and strain rates is thus of particular importance, as they can be used in finite element simulations to predict the occurrence of brain injuries under different im
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