Relevant bibliographies by topics / Behaviour models

Contents

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

Academic literature on the topic 'Behaviour models'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Behaviour models"

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Loehlin, John C. "Models of Behaviour and the Behaviour of Models." International Journal of Behavioral Development 12, no. 3 (September 1989): 403–6. http://dx.doi.org/10.1177/016502548901200308.

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A model proposed by Bateson suggests that the discrepancy between an adopted child's genotype for I.0. and the adoptive parents' I.Q. should contribute negatively to the child's intellectual development. In support, he cited evidence from an adoption study that the absolute difference between birth mothers' and adoptive mothers' I.Qs is negatively correlated with adopted child's I.Q. Further confirmation of the empirical relationship is reported; however, it is pointed out that such a correlation may artefactually result from a difference in parental means, and that the formal model presents other problems as well.
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Rank, Stefan. "Behaviour Coordination for Models of Affective Behaviour." KI - Künstliche Intelligenz 25, no. 3 (May 25, 2011): 265–68. http://dx.doi.org/10.1007/s13218-011-0111-1.

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Shenton, Andrew K., and Naomi V. Hay‐Gibson. "Information behaviour meta‐models." Library Review 61, no. 2 (February 24, 2012): 92–109. http://dx.doi.org/10.1108/00242531211220735.

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Ranta, Esa. "Models of Adaptive Behaviour." Ethology 107, no. 7 (July 24, 2001): 668–69. http://dx.doi.org/10.1046/j.1439-0310.2001.0686d.x.

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SIEGRIST, J. "Models of health behaviour." European Heart Journal 9, no. 6 (June 1988): 709–14. http://dx.doi.org/10.1093/oxfordjournals.eurheartj.a062573.

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Yang, Guo Wei, and Yang Yang. "Motion Models of Artificial Animals and Momentarily Continously Switching of the Models." Applied Mechanics and Materials 39 (November 2010): 295–305. http://dx.doi.org/10.4028/www.scientific.net/amm.39.295.

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Some local motion models of artificial animals and a method momentarily continuously to switch the models are given. A society behaviour system of artificial fishes based on the way and method is exploited, which can exhibit life behaviours and intelligence of animals. How momentarily continuously to switch the motion models of animated agents in the system is better settled. The system can illimitably generalizedly circularly run and has good man-computer interaction. Moreover the appearance, motion and behaviour of the animals in the system are lifelike and convinced. There are not bad visions such as ‘mutation’, ‘suddenly disappearring’, ‘jumpiness’of animated agents.
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Wilson, T. D. "Models in information behaviour research." Journal of Documentation 55, no. 3 (August 1999): 249–70. http://dx.doi.org/10.1108/eum0000000007145.

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O'neill, Philip. "Epidemic models featuring behaviour change." Advances in Applied Probability 27, no. 04 (December 1995): 960–79. http://dx.doi.org/10.1017/s0001867800047765.

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This paper considers a model for the spread of an epidemic in a closed population whose members are in either a high-risk or a low-risk activity group. Further, members of the high-risk group may change their behaviour by entering the low-risk group. Both stochastic and deterministic models are examined. A limiting model, appropriate when there is a large number of initially susceptible individuals, is used to provide a threshold analysis. The epidemic is compared to a single group epidemic, and to suitably parametrised two-group epidemics, using a coupling method. The total size distribution and effects of changing the behaviour change rate are considered.
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Feng, Jianfeng, and Guibin Li. "Behaviour of two-compartment models." Neurocomputing 38-40 (June 2001): 205–11. http://dx.doi.org/10.1016/s0925-2312(01)00510-0.

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Arcangelis, L. de. "Scaling Behaviour in Fracture Models." Physica Scripta T29 (January 1, 1989): 234–38. http://dx.doi.org/10.1088/0031-8949/1989/t29/045.

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Dissertations / Theses on the topic "Behaviour models"

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Johnson, Neil. "Learning object behaviour models." Thesis, University of Leeds, 1998. http://etheses.whiterose.ac.uk/1281/.

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The human visual system is capable of interpreting a remarkable variety of often subtle, learnt, characteristic behaviours. For instance we can determine the gender of a distant walking figure from their gait, interpret a facial expression as that of surprise, or identify suspicious behaviour in the movements of an individual within a car-park. Machine vision systems wishing to exploit such behavioural knowledge have been limited by the inaccuracies inherent in hand-crafted models and the absence of a unified framework for the perception of powerful behaviour models. The research described in this thesis attempts to address these limitations, using a statistical modelling approach to provide a framework in which detailed behavioural knowledge is acquired from the observation of long image sequences. The core of the behaviour modelling framework is an optimised sample-set representation of the probability density in a behaviour space defined by a novel temporal pattern formation strategy. This representation of behaviour is both concise and accurate and facilitates the recognition of actions or events and the assessment of behaviour typicality. The inclusion of generative capabilities is achieved via the addition of a learnt stochastic process model, thus facilitating the generation of predictions and realistic sample behaviours. Experimental results demonstrate the acquisition of behaviour models and suggest a variety of possible applications, including automated visual surveillance, object tracking, gesture recognition, and the generation of realistic object behaviours within animations, virtual worlds, and computer generated film sequences. The utility of the behaviour modelling framework is further extended through the modelling of object interaction. Two separate approaches are presented, and a technique is developed which, using learnt models of joint behaviour together with a stochastic tracking algorithm, can be used to equip a virtual object with the ability to interact in a natural way. Experimental results demonstrate the simulation of a plausible virtual partner during interaction between a user and the machine.
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Davison, Lexie. "Glassy behaviour in simple systems." Thesis, University of Oxford, 2001. http://ora.ox.ac.uk/objects/uuid:10c594d7-1fa5-45f5-bba4-0fefb837aadf.

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In this thesis we study several different models which display glassy behaviour. Firstly, we investigate a simple, purely topological, cellular model for which the Hamiltonian is non-interacting but the dynamics are constrained. We find a non-thermodynamic transition to a glassy phase in which the energy fails to reach the equilibrium value below a characteristic temperature which is dependent on the cooling rate. This model involves activated processes and displays two-step relaxation in both the energy and the correlation functions; the latter also exhibit signs of aging. The relaxation time can be well-fitted at all temperatures by an offset Arrhenius law. Some predictions of Mode-coupling Theory are tested with some agreement found, but no convincing evidence that this description is the most fitting. By defining a suitable response function, we find that the equilibrium Fluctuation-Dissipation Theorem (FDT) is upheld for all but very short waiting-times, despite the fact that the system is not in equilibrium. This topological model is simplified to a hexagonally-based spin model, which also displays glassy behaviour, involves activated processes and exhibits two-step relaxation. This is a consequence of reaction-diffusion processes on two different time-scales, one temperature-independent and the other an exponential function of inverse temperature. We study two versions of this model, one with a single absorbing ground state, and the other with a highly degenerate ground state. These display qualitatively similar but quantitatively distinct macroscopic behaviour, and related but different microscopic behaviour. We extend this work to a square lattice, and find that the geometry of the lattice has a considerable impact on the behaviour, and to three dimensions, which provides support for the reaction-diffusion classification of the early behaviour. We find observable-dependent FDT plots; the observable can be chosen such that FDT is upheld for a region whilst the system is out of equilibrium — this observation is supported by some preliminary results for one-dimensional kinetically-constrained Ising chains.
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Sacker, Amanda. "Longitudinal models of maladaptive behaviour." Thesis, University of Hertfordshire, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.361262.

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Kizildag, Yelda. "Housing Management Models And Household Behaviour." Master's thesis, METU, 2003. http://etd.lib.metu.edu.tr/upload/652/index.pdf.

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A significantly large stock of housing has been realised In Turkey during the past five decades, building the cities almost entirely anew. This has shifted the central concern from production, design and ownership issues in the housing sector to that of housing management. The major problem in housing for the coming decades is not how to maintain the growth of the stock further, but how to efficiently use and improve the existing assets. Currently, no central or local authority is responsible for the management, running or control at any scale, but only the residents and property owners responsibilities exist at the individual plot scale. There is evidence of greater efficiency however, for the need of housing management at supra-plot scales. The hypothesis of the study in this context is that no part of the stock is without problems in terms of management. This is empirically investigated by two complementary analyses based on two distinct surveys. The first analysis demonstrated that the role of tenure and income on expenditures on housing, especially expenditures for repairs and maintenance are dominant. A three-fold difference is observed between tenants and owner-occupiers, and 10 times between households of highest and lowest incomes. Expenditures for repairs and maintenance is 1.9 times greater in the apartment stock and 1.2 times more in the &
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. Lowest levels of expenditures are observed in oldest part of the stock, in less developed neighbourhoods, and in stock with lowest rental values. According to the results of the second analysis, organisational tendencies of household groups varying in their characteristics are not sharply differentiated as in their expenditures. One most significant factor is tenure. Tenants are observed to have a weaker sense of dedication and identity in the dwellings they occupy and in neighbourhoods they live. Current management problem issues could then be identified as: low-income households, tenant households, stock with low rental values, aged stock and undeveloped neighbourhoods. Some of the most significant policy tools for tackling these problems are credit opportunities to be made available to households for repairs and maintenance in such problem areas, subsidies in terms of tax deductions, material incentives, technical support and public investments in degraded localities to boost economic activities which are eventually to initiate private investments.
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Lee, Lik Wee. "Critical behaviour of spin glass models /." Diss., Digital Dissertations Database. Restricted to UC campuses, 2006. http://uclibs.org/PID/11984.

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Verberkmoes, Alain. "Tiling models: phase behaviour and scaling." [S.l : Amsterdam : s.n] ; Universiteit van Amsterdam [Host], 2003. http://dare.uva.nl/document/71144.

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Moffatt, Peter Grant. "Microeconometric models of household purchasing behaviour." Thesis, University of Bristol, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.307355.

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Spier, Emmet. "From reactive behaviour to adaptive behaviour : motivational models for behaviour in animals and robots." Thesis, University of Oxford, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.364107.

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Huang, Xin, and 黃昕. "Exploring critical-state behaviour using DEM." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2014. http://hdl.handle.net/10722/206742.

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The critical state soil mechanics (CSSM) framework originally proposed by Schofield & Wroth (1968) has been shown to capture the mechanical behaviour of soils effectively. The particulate implementation of the discrete element method (DEM) can replicate many of the complex mechanical characteristics associated with sand. This research firstly shows that the CSSM framework is useful to assess whether a DEM simulation gives a response that is representative of a real soil. The research then explores the capacity of DEM to extend understanding of soil behaviour within the CSSM framework. The influence of sample size on the critical-state response observed in DEM simulations that use rigid-wall boundaries was examined. The observed sensitivity was shown to be caused by higher void ratios and lower contact densities adjacent to the boundaries. When the void ratio (e) and mean stress (p’) of the homogeneous interior regions were considered, the influence of sample size on the position of the critical state line (CSL) in e-log(p’) space diminished. A parametric study on the influence of the interparticle friction (μ) on the load-deformation response was carried out. The macro-scale stress-deformation characteristics were nonlinearly related to μ and the particle-scale measures (fabric, contact force distribution, etc.) varied systematically with μ. The limited effect of increases in μ on the overall strength at high μ values (μ>0.5) is attributable to transition from sliding-dominant to rolling-dominant contact behaviour. A μ value higher than 0.5 leads to a CSL in e-log(p’) space that does not capture real soil response. True-triaxial simulations with different intermediate stress ratios (b) were performed. The dependency of strength on b agreed with empirical failure criteria for sands and was related to a change of buckling modes of the strong force chains as b increased. DEM simulations showed that the position of the CSL in e-log(p’) space depends on the intermediate stress ratio b. This sensitivity seems to be related to the dependency of the directional fabric anisotropy on b. The link between the state parameter and both soil strength and dilatancy proposed by Jefferies & Been (2006) was reproduced in DEM simulations. A new rotational resistance model was proposed and it was shown that the new model can qualitatively capture the influence of particle shape on the mechanical behaviour of sand. However, it was shown that the effect of rotational resistance is limited and to quantitatively compare the DEM simulation results with laboratory testing data, e.g., the critical-state loci, it is necessary to use non-spherical particles.
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Allcroft, David John. "Statistical models for short-term animal behaviour." Thesis, University of Edinburgh, 2001. http://hdl.handle.net/1842/11132.

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This thesis aims to identify appropriate methods for the modelling of animal behaviour data, and in the wider context, any time series of categorical data. We make extensive use of a large dataset of cow feeding behaviour, consisting of full feeding records for a number of cows over one month, the data taking the form of binary time series, i.e. feeding/non-feeding periods. After initial exploratory data analysis, we go on to investigate three classes of model: latent Gaussian, hidden Markov and semi-Markov. The latent Gaussian model assumes the binary data occur from the thresholding of an underlying continuous variable. We identify the one-to-one relationship between the autocorrelation of the observed and latent variables and consider techniques for parameter estimation. For a multivariate stationary Gaussian process we show the asymptotic equivalence of the likelihood written in its spectral and conventional forms, and provide a proof that for short-term memory processes such as ARMA models, a good approximation for the spectral form is obtained using Fourier transforms of correlations at only the first few lags. A simulation study highlights the saving in computing time that this offers, and also shows that, in contrast to the least squares methods considered, the number of lags to retain is not crucial for obtaining efficient parameter estimates. Hidden Markov models also directly model the underlying state of the animal, but the latent variable here is discrete and follows a Markov chain, observations being dependent only on the current state. However, this type of model constrains the durations between feeding events to follow a mixture of geometric distributions, which is seen to be inappropriate for the data considered. Semi-Markov models simply involve the animal moving between a set of feeding and non-feeding states according to a set of transition probabilities, the marginal distributions for durations in each state being specified directly.
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Books on the topic "Behaviour models"

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Saari, Donald G. Erratic behaviour in economic models. Stockholm: Industriens Utredningsinstitut, 1989.

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Corrigan, Eoin. New models of market behaviour. Dublin: Universitry College Dublin, 1995.

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Meade, M. L. Signals and systems: Models and behaviour. London: Chapman and Hall, 1990.

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R, Dillon C., ed. Signals and systems: Models and behaviour. Wokingham: Van Nostrand Reinhold, 1986.

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Meade, M. L. Signals and systems: Models and behaviour. 2nd ed. London: Chapman & Hall, 2000.

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R, Dillon C., ed. Signals and systems: Models and behaviour. 2nd ed. London: Chapman & Hall, 1991.

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Barry, Hilson, ed. Basic structural behaviour: Understanding structures from models. London: T. Telford, 1993.

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Pyykönen, Jouni. Computational simulation of aerosol behaviour. Espoo [Finland]: Technical Research Centre of Finland, 2002.

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Drakopoulos, S. A. Hierarchical behaviour in economics. Aberdeen: University of Aberdeen, Dept. of Economics, 1991.

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Hajivassiliou, Vassilis A. Testing game-theoretic models of price fixing behaviour. London: Suntory and Toyota International Centres for Economics and Related Disciplines, 1997.

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Book chapters on the topic "Behaviour models"

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Kunze, Matthias, and Mathias Weske. "Comparing Behaviour." In Behavioural Models, 187–229. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-44960-9_7.

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Roscoe, A. W. "Infinite-Behaviour Models." In Texts in Computer Science, 271–91. London: Springer London, 2010. http://dx.doi.org/10.1007/978-1-84882-258-0_12.

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Ohlbrock, Patrick Ole. "Balancing Behaviours—Designing with Combinatorial Equilibrium Models." In Modelling Behaviour, 75–86. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24208-8_7.

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Hadgraft, Nyssa T., David W. Dunstan, and Neville Owen. "Models for Understanding Sedentary Behaviour." In Sedentary Behaviour Epidemiology, 381–403. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61552-3_15.

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Cordell, Andrea, and Ian Thompson. "Continuum of Leadership Behaviour." In The Procurement Models Handbook, 133–35. Third edition. | Abingdon, Oxon ; New York, NY : Routledge, 2019. | Earlier editions published as: Purchasing models handbook: a guide to the most popular business models used in purchasing / Andrea Reynolds and Ian Thompson.: Routledge, 2019. http://dx.doi.org/10.4324/9781351239509-40.

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Ketelaars, C. E. J., and J. Bruinvels. "Extinction of Conflict Behaviour." In Animal Models in Psychopharmacology, 103–6. Basel: Birkhäuser Basel, 1991. http://dx.doi.org/10.1007/978-3-0348-6419-0_11.

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Ben-Akiva, Moshe E., M. Scott Ramming, and Shlomo Bekhor. "Route Choice Models." In Human Behaviour and Traffic Networks, 23–45. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-07809-9_2.

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Walter, David Evans, and Heather C. Proctor. "Mites as Models." In Mites: Ecology, Evolution & Behaviour, 461–70. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-7164-2_12.

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Parkinson, Stephen T., Michael J. Baker, and K. Moller. "Buying Decision Models: Influences on Choice." In Organizational Buying Behaviour, 78–110. London: Palgrave Macmillan UK, 1986. http://dx.doi.org/10.1007/978-1-349-08048-9_4.

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Krijnen, Thomas, and Martin Tamke. "Assessing Implicit Knowledge in BIM Models with Machine Learning." In Modelling Behaviour, 397–406. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24208-8_33.

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Conference papers on the topic "Behaviour models"

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D'Ippolito, Nicolás Roque, Victor Braberman, Nir Piterman, and Sebastián Uchitel. "Synthesis of live behaviour models." In the eighteenth ACM SIGSOFT international symposium. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1882291.1882305.

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Haikala, Ilkka. "ARMA models of program behaviour." In the 1986 ACM SIGMETRICS joint international conference. New York, New York, USA: ACM Press, 1986. http://dx.doi.org/10.1145/317499.317550.

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Kindler, Ekkart. "Integrating behaviour in software models." In the Third Workshop. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/1993956.1993962.

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De Pasquale, Massimiliano, M. J. Page, D. Alexander Kann, S. R. Oates, S. Schulze, B. Zhang, Z. Cano, et al. "GRB 130427A afterglow: a test for GRB models." In XII Multifrequency Behaviour of High Energy Cosmic Sources Workshop. Trieste, Italy: Sissa Medialab, 2018. http://dx.doi.org/10.22323/1.306.0071.

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Galata, A., N. Johnson, and D. Hogg. "Learning Behaviour Models of Human Activities." In British Machine Vision Conference 1999. British Machine Vision Association, 1999. http://dx.doi.org/10.5244/c.13.2.

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Higgs, Matthew, Alistair Morrison, Mark Girolami, and Matthew Chalmers. "Analysing user behaviour through dynamic population models." In CHI '13 Extended Abstracts on Human Factors in Computing Systems. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2468356.2468405.

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Singh, Meghendra, Mayuri Duggirala, Harshal Hayatnagarkar, Sachin Patel, and Vivek Balaraman. "Towards fine grained human behaviour simulation models." In 2016 Winter Simulation Conference (WSC). IEEE, 2016. http://dx.doi.org/10.1109/wsc.2016.7822375.

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"Transformation of BPMN Models for Behaviour Analysis." In The 5th International Workshop on Modelling, Simulation,Verification and Validation of Enterprise Information Systems. SciTePress - Science and and Technology Publications, 2007. http://dx.doi.org/10.5220/0002428801260137.

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Alippi, A., A. Bettucci, A. Biagioni, D. Conclusio, A. D'Orazio, M. Germano, and D. Passeri. "Non linear behaviour of cell tensegrity models." In INTERNATIONAL CONGRESS ON ULTRASONICS: Gdańsk 2011. AIP, 2012. http://dx.doi.org/10.1063/1.3703199.

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Bader, Sebastian, Frank Krüger, and Thomas Kirste. "Computational causal behaviour models for assisted manufacturing." In iWOAR '15: 2nd international Workshop on Sensor-based Activity Recognition and Interaction. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2790044.2790058.

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Reports on the topic "Behaviour models"

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Barbau, Raphael, and Conrad Bock. Verifying executability of SysML behavior models using satisfiability modulo theory solvers. Gaithersburg, MD: National Institute of Standards and Technology, June 2020. http://dx.doi.org/10.6028/nist.ir.8283.

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Nevo, Aviv. Empirical Models of Consumer Behavior. Cambridge, MA: National Bureau of Economic Research, October 2010. http://dx.doi.org/10.3386/w16511.

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Grainger, Matthew, Simone Piras, Simone Righi, Marco Setti, Gavin Stewart, and Matteo Vittuari. Integrated model of consumer behaviours in relation to food waste : Behavioural economics : D4.4 Linking Bayesian and agent-based models to assess consumer food waste. Netherlands: REFRESH, 2019. http://dx.doi.org/10.18174/477976.

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Auguston, Mikhail. Software Architecture Built from Behavior Models. Fort Belvoir, VA: Defense Technical Information Center, June 2009. http://dx.doi.org/10.21236/ada502640.

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Bossert, J. E., J. M. Reisner, R. R. Linn, J. L. Winterkamp, R. Schaub, and P. J. Riggan. Validation of coupled atmosphere-fire behavior models. Office of Scientific and Technical Information (OSTI), December 1998. http://dx.doi.org/10.2172/314171.

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Weber, C. F., E. C. Beahm, and T. S. Kress. Models of iodine behavior in reactor containments. Office of Scientific and Technical Information (OSTI), October 1992. http://dx.doi.org/10.2172/10113290.

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Weber, C. F., E. C. Beahm, and T. S. Kress. Models of iodine behavior in reactor containments. Office of Scientific and Technical Information (OSTI), October 1992. http://dx.doi.org/10.2172/6982565.

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Scott, Joe H., and Robert E. Burgan. Standard fire behavior fuel models: a comprehensive set for use with Rothermel's surface fire spread model. Ft. Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, 2005. http://dx.doi.org/10.2737/rmrs-gtr-153.

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Linn, R. R., and F. H. Harlow. Use of transport models for wildfire behavior simulations. Office of Scientific and Technical Information (OSTI), January 1998. http://dx.doi.org/10.2172/314172.

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Bier, Asmeret Brooke. Sensitivity analysis techniques for models of human behavior. Office of Scientific and Technical Information (OSTI), September 2010. http://dx.doi.org/10.2172/1008119.

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