Journal articles: 'Behavioural simulation'

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Pooley, Rob. "Behavioural equivalence in simulation modelling." Simulation Modelling Practice and Theory 15, no. 1 (January 2007): 1–20. http://dx.doi.org/10.1016/j.simpat.2006.08.001.

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Beder, Christian, Julia Blanke, and Martin Klepal. "Towards Integrating Behaviour Demand Response into Simulation Based Heat Production Optimisation." Proceedings 2, no. 15 (August 23, 2018): 1125. http://dx.doi.org/10.3390/proceedings2151125.

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Behaviour Demand Response (BDR) is the process of communicating with the building occupants and integrating their behavioural flexibility into the energy value chain. In this paper we will present an integrated behavioural model based on well-established behavioural theories and show how it can be used to provide predictable flexibility to the production schedule optimisation. The proposed approach is two-fold: the model can be used to predict the expected behavioural flexibility of occupants as well as to generate optimal communication to trigger reliable BDR events. A system architecture will be presented showing how BDR can be integrated into simulation passed building/district operation.

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Naspi, Federica, Marco Arnesano, Francesca Stazi, Marco D’Orazio, and Gian Marco Revel. "Measuring Occupants’ Behaviour for Buildings’ Dynamic Cosimulation." Journal of Sensors 2018 (November 26, 2018): 1–17. http://dx.doi.org/10.1155/2018/2756542.

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Measuring and identifying human behaviours are key aspects to support the simulation processes that have a significant role in buildings’ (and cities’) design and management. In fact, layout assessments and control strategies are deeply influenced by the prediction of building performance. However, the missing inclusion of the human component within the building-related processes leads to large discrepancies between actual and simulated outcomes. This paper presents a methodology for measuring specific human behaviours in buildings and developing human-in-the-loop design applied to retrofit and renovation interventions. The framework concerns the detailed building monitoring and the development of stochastic and data-driven behavioural models and their coupling within energy simulation software using a cosimulation approach. The methodology has been applied to a real case study to illustrate its applicability. A one-year monitoring has been carried out through a dedicated sensor network for the data recording and to identify the triggers of users’ actions. Then, two stochastic behavioural models (i.e., one for predicting light switching and one for window opening) have been developed (using the measured data) and coupled within the IESVE simulation software. A simplified energy model of the case study has been created to test the behavioural approach. The outcomes highlight that the behavioural approach provides more accurate results than a standard one when compared to real profiles. The adoption of behavioural profiles leads to a reduction of the discrepancy with respect to real profiles up to 58% and 26% when simulating light switching and ventilation, respectively, in comparison to standard profiles. Using data-driven techniques to include the human component in the simulation processes would lead to better predictions both in terms of energy use and occupants’ comfort sensations. These aspects can be also included in building control processes (e.g., building management systems) to enhance the environmental and system management.

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Lamé, Guillaume, and Rebecca K. Simmons. "From behavioural simulation to computer models: how simulation can be used to improve healthcare management and policy." BMJ Simulation and Technology Enhanced Learning 6, no. 2 (October 20, 2018): 95–102. http://dx.doi.org/10.1136/bmjstel-2018-000377.

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Simulation is a technique that evokes or replicates substantial aspects of the real world, in order to experiment with a simplified imitation of an operations system, for the purpose of better understanding and/or improving that system. Simulation provides a safe environment for investigating individual and organisational behaviour and a risk-free testbed for new policies and procedures. Therefore, it can complement or replace direct field observations and trial-and-error approaches, which can be time consuming, costly and difficult to carry out. However, simulation has low adoption as a research and improvement tool in healthcare management and policy-making. The literature on simulation in these fields is dispersed across different disciplinary traditions and typically focuses on a single simulation method. In this article, we examine how simulation can be used to investigate, understand and improve management and policy-making in healthcare organisations. We develop the rationale for using simulation and provide an integrative overview of existing approaches, using examples of in vivo behavioural simulations involving live participants, pure in silico computer simulations and intermediate approaches (virtual simulation) where human participants interact with computer simulations of health organisations. We also discuss the combination of these approaches to organisational simulation and the evaluation of simulation-based interventions.

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Ngowtanasuwan, Grit, and Porntip Ruengtam. "Simulation Model for Improving a Hospital." Asian Journal of Quality of Life 1, no. 2 (September 2, 2016): 35. http://dx.doi.org/10.21834/ajqol.v1i2.22.

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This article presents a method for design of improving medical record area in OPD of a governmental hospital case study, Mahasarakham Hospital, Thailand. By using a simulation model which is Petri Nets model for simulating and analysis of coming patients and their relatives in the hospital case study during 6:30-16:00 of the working days. The results found the application was applicable. Recommendations for the design of improving the waiting area case study were discussed and presented in this research.2398-4279 © 2016. The Authors. Published for AMER ABRA by e-International Publishing House, Ltd., UK.. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia.Keywords: Out-patient department; medical record; simulation model; petri nets

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Ngowtanasuwan, Grit, and Porntip Ruengtam. "Simulation Model for Improving a Hospital." Asian Journal of Quality of Life 1, no. 2 (September 2, 2016): 35. http://dx.doi.org/10.21834/ajqol.v1i2.27.

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This article presents a method for design of improving medical record area in OPD of a governmental hospital case study, Mahasarakham Hospital, Thailand. By using a simulation model which is Petri Nets model for simulating and analysis of coming patients and their relatives in the hospital case study during 6:30-16:00 of the working days. The results found the application was applicable. Recommendations for the design of improving the waiting area case study were discussed and presented in this research.2398-4279 © 2016. The Authors. Published for AMER ABRA by e-International Publishing House, Ltd., UK.. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia.Keywords: Out-patient department; medical record; simulation model; petri nets

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Daniel, M., M. Janicki, W. Wroblewski, A. Dybko, Z. Brzozka, and A. Napieralski. "Ion selective transistor modelling for behavioural simulations." Water Science and Technology 50, no. 11 (December 1, 2004): 115–23. http://dx.doi.org/10.2166/wst.2004.0679.

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Computer aided design and simulation of complex silicon microsystems oriented for environment monitoring requires efficient and accurate models of ion selective sensors, compatible with the existing behavioural simulators. This paper concerns sensors based on the back-side contact Ion Sensitive Field Effect Transistors (ISFETs). The ISFETs with silicon nitride gate are sensitive to hydrogen ion concentration. When the transistor gate is additionally covered with a special ion selective membrane, selectivity to other than hydrogen ions can be achieved. Such sensors are especially suitable for flow analysis of solutions containing various ions. The problem of ion selective sensor modelling is illustrated here on a practical example of an ammonium sensitive membrane. The membrane is investigated in the presence of some interfering ions and appropriate selectivity coefficients are determined. Then, the model of the whole sensor is created and used in subsequent electrical simulations. Providing that appropriate selectivity coefficients are known, the proposed model is applicable for any membrane, and can be straightforwardly implemented for behavioural simulation of water monitoring microsystems. The model has been already applied in a real on-line water pollution monitoring system for detection of various contaminants.

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Stern, Eliahu, and Zila Sinuany-Stern. "A behavioural-based simulation model for urban evacuation." Papers of the Regional Science Association 66, no. 1 (December 1989): 87–103. http://dx.doi.org/10.1007/bf01954298.

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Curatelli, F., G. M. Bisio, and E. Di Zitti. "Safe sequencing of concurrent events in behavioural simulation." IEE Proceedings G Circuits, Devices and Systems 137, no. 6 (1990): 451. http://dx.doi.org/10.1049/ip-g-2.1990.0068.

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Stern, Eliahu, and Zila Sinuany-Stern. "A BEHAVIOURAL-BASED SIMULATION MODEL FOR URBAN EVACUATION." Papers in Regional Science 66, no. 1 (January 14, 2005): 87–103. http://dx.doi.org/10.1111/j.1435-5597.1989.tb01173.x.

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Pallamin, N., and C. Bossard. "Presence, Behavioural Realism and Performances in Driving Simulation." IFAC-PapersOnLine 49, no. 19 (2016): 408–13. http://dx.doi.org/10.1016/j.ifacol.2016.10.600.

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Battista, Umberto, Pietro De Vito, Davide Ottonello, and Deborah Hugon. "Agent-Based Simulation of Heterogeneous Crowd Flows in Critical Infrastructures During Emergencies." International Journal of Cyber Warfare and Terrorism 12, no. 2 (April 1, 2022): 1–18. http://dx.doi.org/10.4018/ijcwt.305861.

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Scope of this work was the development of a model able to simulate the flows and behaviours of heterogeneous crowds in a large transport hub, both in normal conditions and during an emergency, like a terrorist attack. These places are indeed also so-called “soft targets”, public spaces which are preferred targets of terrorists because they provide them with the opportunity to maximize casualties and publicity. Different modelling approaches were investigated and finally agent-based modelling and the BDI (belief-desire-intention) architecture were selected. Several scenarios were also identified to simulate the crowd behaviour. Flowcharts were developed to model users’ actions and interactions; while statecharts to model emergency conditions and behavioural changes. Simulations were then used to identify weak points in the infrastructure and to analyse the evacuation times for each user category investigated. Finally, various solutions were proposed and simulated, to improve crowd flows and reduce evacuation times.

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Asher, Lucy, Lisa M. Collins, Angel Ortiz-Pelaez, Julian A. Drewe, Christine J. Nicol, and Dirk U. Pfeiffer. "Recent advances in the analysis of behavioural organization and interpretation as indicators of animal welfare." Journal of The Royal Society Interface 6, no. 41 (September 9, 2009): 1103–19. http://dx.doi.org/10.1098/rsif.2009.0221.

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While the incorporation of mathematical and engineering methods has greatly advanced in other areas of the life sciences, they have been under-utilized in the field of animal welfare. Exceptions are beginning to emerge and share a common motivation to quantify ‘hidden’ aspects in the structure of the behaviour of an individual, or group of animals. Such analyses have the potential to quantify behavioural markers of pain and stress and quantify abnormal behaviour objectively. This review seeks to explore the scope of such analytical methods as behavioural indicators of welfare. We outline four classes of analyses that can be used to quantify aspects of behavioural organization. The underlying principles, possible applications and limitations are described for: fractal analysis, temporal methods, social network analysis, and agent-based modelling and simulation. We hope to encourage further application of analyses of behavioural organization by highlighting potential applications in the assessment of animal welfare, and increasing awareness of the scope for the development of new mathematical methods in this area.

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Clarkson, J., F. Christiansen, T. Awbery, L. Abbiss, N. Nikpaljevic, and A. Akkaya. "Non-targeted tourism affects the behavioural budgets of bottlenose dolphins Tursiops truncatus in the South Adriatic (Montenegro)." Marine Ecology Progress Series 638 (March 19, 2020): 165–76. http://dx.doi.org/10.3354/meps13257.

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We investigated the short-term effects of non-targeted tourism on the behaviour of bottlenose dolphins Tursiops truncatus in the South Adriatic off the coast of Montenegro, by comparing dolphin group behaviour during impact (the presence of non-targeted tourism vessels) and control (absence of all marine vessels) scenarios. Tourism vessel and dolphin behavioural data were collected through systematic weekly land-based surveys. Using instantaneous focal ‘group’ scan sampling, the predominant behaviour of bottlenose dolphin groups was determined. To quantify the effect of vessel interactions on the behavioural budget of the dolphins, we followed a stepwise modelling approach. A first-order Markov chain was used to calculate the transition probabilities between behavioural states before a Monte Carlo simulation estimated the behavioural budgets of dolphins during impact and control situations. In the presence of non-targeted tourism, dolphins were found to be less likely to remain diving (during which dolphins were assumed to be feeding), whilst milling-socialising and surface feeding were completely absent from their behavioural repertoires. Nevertheless, the behavioural budgets demonstrated an increase in resting behaviour in the presence of non-targeted tourism vessels. No significant changes to travelling behaviour were observed. The decrease in foraging behaviour (both surface feeding and diving) could result in a reduction in energy intake for dolphins, which over time (assuming repeated disturbance) could negatively affect body condition, and ultimately survival and reproduction. Regulations on non-targeted tourism should therefore be considered to minimise potential long-term negative effects on dolphins within Montenegrin territorial waters.

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Zeng, Fei, Yiqun Pan, Huiyan Deng, and Zhizhong Huang. "Research on air-conditioning usage behaviour in offices with different occupancy." E3S Web of Conferences 356 (2022): 01041. http://dx.doi.org/10.1051/e3sconf/202235601041.

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Occupant behaviours in the buildings are not only random and uncertain but also related to each occupant’s habitual preference. This leads to the performance gap between actual and expected energy consumption in buildings. Therefore, accurate information and modelling with regard to occupant behaviour are important for reliable energy simulation and energy-saving optimization design. Existing studies on occupant behaviour models in office space usually focus on single-person offices or full-floor buildings, without considering the behavioural differences among offices with different occupancy. Therefore, this study established the air-conditioning usage behaviour models in offices with different occupancy based on questionnaires and measured data. The results show that occupant compromise and clustering effect will increase with the increase of occupancy. Using the established models as input, this study compared the simulation results with that under the standard schedule. The difference rate is as high as 32.19% in winter and 13.07% in the whole year. And for areas with high energy consumption in winter, the gap may be bigger.

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Balasubramanian, Kaushik, Adam Procter, Ramesh Illikkal, Zhaojuan Bian, Kevin J. Long, and Yuankun Shi. "DeepSim: cluster level behavioural simulation model for deep learning." International Journal of Big Data Intelligence 6, no. 3/4 (2019): 224. http://dx.doi.org/10.1504/ijbdi.2019.10021728.

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Akhtar, Shamim, Kang Tai, and Tapabrata Ray. "A socio-behavioural simulation model for engineering design optimization." Engineering Optimization 34, no. 4 (January 2002): 341–54. http://dx.doi.org/10.1080/03052150212723.

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Papin, G., R. Levy, G. Lissorgues, P. Poulichet, S. Masson, B. Maréchal, J. Guérard, D. Janiaud, and O. Le Traon. "Behavioural modelling of MEMS oscillators and phase noise simulation." Analog Integrated Circuits and Signal Processing 72, no. 1 (April 20, 2012): 11–18. http://dx.doi.org/10.1007/s10470-012-9853-4.

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Nuzzolo, Agostino, and Antonio Comi. "A Subjective Optimal Strategy for Transit Simulation Models." Journal of Advanced Transportation 2018 (September 16, 2018): 1–10. http://dx.doi.org/10.1155/2018/8797328.

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A behavioural modelling framework with a dynamic travel strategy path choice approach is presented for unreliable multiservice transit networks. The modelling framework is especially suitable for dynamic run-oriented simulation models that use subjective strategy-based path choice models. After an analysis of the travel strategy approach in unreliable transit networks with the related hyperpaths, the search for the optimal strategy as a Markov decision problem solution is considered. The new modelling framework is then presented and applied to a real network. The paper concludes with an overview of the benefits of the new behavioural framework and outlines scope for further research.

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Markus, Andras, Mate Biro, Gabor Kecskemeti, and Attila Kertesz. "Actuator behaviour modelling in IoT-Fog-Cloud simulation." PeerJ Computer Science 7 (July 30, 2021): e651. http://dx.doi.org/10.7717/peerj-cs.651.

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The inevitable evolution of information technology has led to the creation of IoT-Fog-Cloud systems, which combine the Internet of Things (IoT), Cloud Computing and Fog Computing. IoT systems are composed of possibly up to billions of smart devices, sensors and actuators connected through the Internet, and these components continuously generate large amounts of data. Cloud and fog services assist the data processing and storage needs of IoT devices. The behaviour of these devices can change dynamically (e.g. properties of data generation or device states). We refer to systems allowing behavioural changes in physical position (i.e. geolocation), as the Internet of Mobile Things (IoMT). The investigation and detailed analysis of such complex systems can be fostered by simulation solutions. The currently available, related simulation tools are lacking a generic actuator model including mobility management. In this paper, we present an extension of the DISSECT-CF-Fog simulator to support the analysis of arbitrary actuator events and mobility capabilities of IoT devices in IoT-Fog-Cloud systems. The main contributions of our work are: (i) a generic actuator model and its implementation in DISSECT-CF-Fog, and (ii) the evaluation of its use through logistics and healthcare scenarios. Our results show that we can successfully model IoMT systems and behavioural changes of actuators in IoT-Fog-Cloud systems in general, and analyse their management issues in terms of usage cost and execution time.

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Papadimitriou, E., J. M. Auberlet, G. Yannis, and S. Lassarre. "Simulation of Pedestrians and Motorised Traffic." International Journal of Interdisciplinary Telecommunications and Networking 6, no. 1 (January 2014): 57–73. http://dx.doi.org/10.4018/ijitn.2014010105.

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The objective of this paper is the analysis of the state of the art in pedestrian simulation models and the identification of key issues for further research, with particular focus on the modelling of pedestrians and motorised traffic. A review and a comparative assessment of pedestrian simulation models are carried out, including macroscopic models, earlier meso- and miscosimulation models (mostly in Cellular Automata) and more recent Multi-Agent simulation models. The reviewed models cover a broad range of research topics: pedestrian flow and level of service, crowd dynamics and evacuations, route choice etc. However, pedestrian movement in urban areas and the interactions between pedestrians and vehicles have received notably less attention. A number of challenges to be addressed in future research are outlined: first, the need to and account for the hierarchical behavioural model of road users (strategic / tactical / operational behaviour); second, the need for appropriate description and parameterization of vehicle and pedestrian networks and their crossing points; third, the need to exploit in the simulation models the results of statistical and probabilistic models, which offer valuable insight in the determinants of pedestrian behaviour. In each case, recent studies towards addressing these challenges are outlined.

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Mahdavi, Ardeshir. "On the Evaluation of Behavioural Models of Buildings' Inhabitants." Applied Mechanics and Materials 887 (January 2019): 3–9. http://dx.doi.org/10.4028/www.scientific.net/amm.887.3.

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This paper addresses the model validation challenges relevant to representation of inhabitants' presence and behavior in buildings. Motivated by the lack of general guidelines for the evaluation of user-related behavioural models in building performance simulation, the paper underlines the need for rigorous processes toward quality assurance while integrating behavioural representations in building performance simulation applications and processes.

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Rijal, Hom B., Michael A. Humphreys, and J. Fergus Nicol. "Behavioural Adaptation for the Thermal Comfort and Energy Saving in Japanese Offices." Journal of the Institute of Engineering 15, no. 2 (July 31, 2019): 14–25. http://dx.doi.org/10.3126/jie.v15i2.27637.

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Office workers use a variety of adaptive opportunities to regulate their indoor thermal environment. The behavioural adaptations such as window opening, clothing adjustments, and use of heating/cooling are important factors for adaptive thermal comfort. It is well-known that they are the most important contributors in the adaptive thermal comfort model. Thus, if we understand the behavioural adaptation properly, we can explain the mechanism of the adaptive model. The indoor thermal environment is often adjusted using the air conditioning in Japanese office buildings to improve thermal comfort and productivity. Thus, it is necessary to conduct research on the behavioural adaptation in the offices because the occupant behavior is different from behaviour in dwellings. In order to record the seasonal differences in behavioural adaptation and to develop an adaptive algorithm for Japanese offices, we measured temperatures in 11 office buildings and conducted the thermal comfort and occupant behaviour survey for over a year. We collected 4,660 samples from about 1,350 people. The proportion of ‘open window’ in the free running mode (neither heating nor cooling being used) is significantly higher than that of the air conditioned mode. The behavioural adaptation is related to the outdoor air temperature. The behavioural adaptations such as window-opening, heating and cooling use predicted by regression analysis are in good agreement with the measured data. These findings can be applied to building thermal simulation to predict the behavioural adaptation and energy use in office buildings.

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Chalk, Daniel, Sean Manzi, Nicky Britten, Bettina Kluettgens, Ratidzai Magura, and Jose Valderas. "Can agent-based simulation be used as a tool to support polypharmacy prescribing practice?" BMJ Simulation and Technology Enhanced Learning 3, no. 3 (May 30, 2017): 94–98. http://dx.doi.org/10.1136/bmjstel-2016-000162.

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ObjectiveWe sought to develop a simulation modelling method to help better understand the complex interplay of factors that lead to people with type 2 diabetes and asthma not taking all of their medication as prescribed when faced with multiple medications (polypharmacy).Research design and methodsIn collaboration with polypharmacy patients, general practitioners, pharmacists and polypharmacy researchers, we developed a map of factors that directly and indirectly affect somebodyâ€™s decision to take their medication as prescribed when faced with multiple type 2 diabetes and asthma medications. We then translated these behavioural influences into logical rules using data from the literature and developed a proof-of-concept agent-based simulation model that captures the medicine-taking behaviours of those with type 2 diabetes and asthma taking multiple medications and which predicts both the clinical effectiveness and rates of adherence for different combinations of medications.ConclusionsThe model we have developed could be used as a prescription support tool or a way of estimating medicine-taking behaviour in cost-effectiveness analyses.

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Cherdal, Safae, and Salma Mouline. "Modelling and Simulation of Biochemical Processes Using Petri Nets." Processes 6, no. 8 (July 24, 2018): 97. http://dx.doi.org/10.3390/pr6080097.

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Systems composed of many components which interact with each other and lead to unpredictable global behaviour, are considered as complex systems. In a biological context, complex systems represent living systems composed of a large number of interacting elements. In order to study these systems, a precise mathematical modelling was typically used in this context. However, this modelling has limitations in the structural understanding and the behavioural study. In this sense, formal computational modelling is an approach that allows to model and to simulate dynamical properties of these particular systems. In this paper, we use Hybrid Functional Petri Net (HFPN), a Petri net extension dedicated to study and verify biopathways, to model and study the Methionine metabolic pathway. Methionine and its derivatives play significant roles in human bodies. We propose a set of simulations for the purpose of studying and analysing the Methionine pathway’s behaviour. Our simulation results have shown that several important abnormalities in this pathway are related to sever diseases such as Alzheimer’s disease, cardiovascular disease, cancers and others.

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Le Roux, Ingrid, and Barnard Steyn. "Experiential learning and critical reflection as a tool for transfer of business knowledge: an empirical case study of a start-up simulation intervention for nascent entrepreneurs." South African Journal of Economic and Management Sciences 10, no. 3 (July 11, 2013): 330–47. http://dx.doi.org/10.4102/sajems.v10i3.694.

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This paper investigates the impact of venture start-up simulation on participants’ learning; it is concerned specifically with the relationship between experiential learning theory and critical reflection within venture start-up simulation. This was carried out in empirical investigation of a simulation training game used to train entrepreneurs in a formal setting. The findings show significant improvement in their knowledge of finance, marketing operations and information use. Participants reported increased skills and intended behavioural changes in their own ventures. Finally, there was empirical support for the fact that critical reflection during experiential learning can greatly improve the standard of learning and has an immediate effect on participants’ behaviour.

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Wahde, M. "A method for behavioural organization for autonomous robots based on evolutionary optimization of utility functions." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 217, no. 4 (June 1, 2003): 249–58. http://dx.doi.org/10.1177/095965180321700401.

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A method for behavioural organization for autonomous robots, based on evolutionary optimization of utility functions, is introduced and illustrated through several simulation examples. The method is shown to be efficient in generating behavioural organization systems that are both flexible and robust to noise. With this method, the amount of hand-tuning of parameters is minimized and, in principle, the user is only required to define fitness functions for the behaviours directly related to the task of the robot. The utility functions representing the beliefs and intentions of the robot are, in general, obtained through evolutionary optimization. However, if desired, the user also has the freedom to specify utility functions by hand.

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Greasley, Andrew, and Chris Owen. "Modelling people’s behaviour using discrete-event simulation: a review." International Journal of Operations & Production Management 38, no. 5 (May 8, 2018): 1228–44. http://dx.doi.org/10.1108/ijopm-10-2016-0604.

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Purpose The purpose of this paper is to provide a contribution to the area of behavioural operations management (OM) by identifying key challenges in the use of discrete-event simulation (DES) to model people’s behaviour in OM. Design/methodology/approach A systematic literature review method is undertaken in order to assess the nature and scale of all publications relevant to the topic of modelling people’s behaviour with DES in OM within the period 2005-2017. Findings The publications identified by the literature review reveal key challenges to be addressed when aiming to increase the use of DES to model people’s behaviour. The review also finds a variety of strategies in use to model people’s behaviour using DES in OM applications. Research limitations/implications A systematic literature review method is undertaken in order to include all publications relevant to the topic of modelling people’s behaviour with DES in the OM domain but some articles may not have been captured. Originality/value The literature review provides a resource in terms of identifying exemplars of the variety of methods used to model people’s behaviour using DES in OM. The study indicates key challenges for increasing the use of DES in this area and builds on current DES development methodologies by presenting a methodology for modelling people’s behaviour in OM.

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Dantan, Jean-Yves, and Tobias Eifler. "Tolerance allocation under behavioural simulation uncertainty of a multiphysical system." CIRP Annals 70, no. 1 (2021): 127–30. http://dx.doi.org/10.1016/j.cirp.2021.04.054.

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Khine, Lynn, and Moorthi Palaniapan. "Behavioural modelling and system-level simulation of micromechanical beam resonators." Journal of Physics: Conference Series 34 (April 1, 2006): 1053–58. http://dx.doi.org/10.1088/1742-6596/34/1/174.

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Hayashida, Tomohiro, Ichiro Nishizaki, Hideki Katagiri, and Rika Kambara. "Behavioural analysis in network formation using agent-based simulation systems." International Journal of Knowledge Engineering and Soft Data Paradigms 3, no. 1 (2011): 22. http://dx.doi.org/10.1504/ijkesdp.2011.039876.

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Wang, Y. L., X. Y. Zheng, X. M. Yin, and J. R. Cai. "Simulation of Financing Decisions with Behavioural Preferences and Yield Uncertainty." International Journal of Simulation Modelling 21, no. 4 (December 15, 2022): 675–83. http://dx.doi.org/10.2507/ijsimm21-4-co16.

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Zhao, Na, Congcong Lei, Hui Liu, and Chunlin Wu. "Improving the Effectiveness of Organisational Collaborative Innovation in Megaprojects: An Agent-Based Modelling Approach." Sustainability 14, no. 15 (July 25, 2022): 9070. http://dx.doi.org/10.3390/su14159070.

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As the complexity, breadth of expertise and number of agents involved in megaprojects grow, collaborative innovation models become invaluable for helping to achieve sustainable project development. On this basis, the purpose of this study is to explore the innovation output mechanisms used for collaborative innovation in megaproject (CIMP) systems by the agent-based modelling (ABM) approach, and to promote the efficiency and effectiveness of organisational collaborative innovation through variable controls. A multi-agent simulation CIMP model was developed using the NetLogo tool. The model encompasses the behavioural factors and interaction rules that affect organisational CIMP. Four simulations were conducted, and the results showed that (1) the innovation environment, including policy environment, cultural climate, and engineering demand, has a positive effect on the output rate of CIMP; (2) a larger scale of innovative network organisation accelerates innovation output; (3) innovative organisations must avoid enforcing high standards for cooperation, communication, and recognition abilities when selecting partner organisations; (4) innovative organisations’ ability to absorb technology, information, and knowledge is positively related to output, while an increase in behavioural costs reduces the scale of innovative network organisations, thereby affecting their output. This study developed its CIMP theory from the perspective of organisational behaviour. The findings are expected to provide methodological and practical guidance for the selection of innovation agents, behavioural patterns, and for guaranteeing efficient innovation in collaborative megaproject organisations.

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Banal-Estañol, Albert, and Augusto Rupérez Micola. "Behavioural simulations in spot electricity markets." European Journal of Operational Research 214, no. 1 (October 2011): 147–59. http://dx.doi.org/10.1016/j.ejor.2011.03.041.

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Reddy, Gautam, Laura Desban, Hidenori Tanaka, Julian Roussel, Olivier Mirat, and Claire Wyart. "A lexical approach for identifying behavioural action sequences." PLOS Computational Biology 18, no. 1 (January 10, 2022): e1009672. http://dx.doi.org/10.1371/journal.pcbi.1009672.

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Animals display characteristic behavioural patterns when performing a task, such as the spiraling of a soaring bird or the surge-and-cast of a male moth searching for a female. Identifying such recurring sequences occurring rarely in noisy behavioural data is key to understanding the behavioural response to a distributed stimulus in unrestrained animals. Existing models seek to describe the dynamics of behaviour or segment individual locomotor episodes rather than to identify the rare and transient sequences of locomotor episodes that make up the behavioural response. To fill this gap, we develop a lexical, hierarchical model of behaviour. We designed an unsupervised algorithm called “BASS” to efficiently identify and segment recurring behavioural action sequences transiently occurring in long behavioural recordings. When applied to navigating larval zebrafish, BASS extracts a dictionary of remarkably long, non-Markovian sequences consisting of repeats and mixtures of slow forward and turn bouts. Applied to a novel chemotaxis assay, BASS uncovers chemotactic strategies deployed by zebrafish to avoid aversive cues consisting of sequences of fast large-angle turns and burst swims. In a simulated dataset of soaring gliders climbing thermals, BASS finds the spiraling patterns characteristic of soaring behaviour. In both cases, BASS succeeds in identifying rare action sequences in the behaviour deployed by freely moving animals. BASS can be easily incorporated into the pipelines of existing behavioural analyses across diverse species, and even more broadly used as a generic algorithm for pattern recognition in low-dimensional sequential data.

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Shirvani, Mohammad, Georges Kesserwani, and Paul Richmond. "Agent-based modelling of pedestrian responses during flood emergency: mobility behavioural rules and implications for flood risk analysis." Journal of Hydroinformatics 22, no. 5 (July 15, 2020): 1078–92. http://dx.doi.org/10.2166/hydro.2020.031.

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Abstract An agent-based model (ABM) for simulating the interactions between flooding and pedestrians is augmented to more realistic model responses of evacuees during floodwater flow. In this version of the ABM, the crowd of pedestrians have different body heights and weight, and extra behavioural rules are added to incorporate pedestrians’ states of stability and walking speed in floodwater. The augmented ABM is applied to replicate an evacuation scenario for a synthetic test case of a flooded shopping centre. Simulation runs are performed with increasingly sophisticated configuration modes for the pedestrians’ behavioural rules. Simulation results are analysed based on spatial and temporal indicators informing on the dynamic variations of the flood risk states of the flooded pedestrians, i.e. in terms of a commonly used flood Hazard Rating (HR) metric, variable walking speed, and instability due to toppling and/or sliding. Our analysis reveals significantly prolonged evacuation times and risk exposure levels as the stability and walking speed behavioural rules become more sophisticated. Also, it allows us to identify more conservative HR thresholds of pedestrian instability in floodwater, and a new formula relating walking speed states to the HR for stable pedestrians in floodwater. Accompanying details for software accessibility are provided.

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Zhang, Tao, and William J. Nuttall. "An Agent-Based Simulation of Smart Metering Technology Adoption." International Journal of Agent Technologies and Systems 4, no. 1 (January 2012): 17–38. http://dx.doi.org/10.4018/jats.2012010102.

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Based on the classic behavioural theory the “Theory of Planned Behaviour,” the authors have developed an agent-based model to simulate the diffusion of smart metering technology in the electricity market. The authors simulate the emergent adoption of smart metering technology under different management strategies and economic regulations. Their research results show that in terms of boosting the take-off of smart meters in the UK electricity market, choosing the initial users on a random and geographically dispersed basis and encouraging meter competition between energy suppliers can be two effective strategies. The authors also observe an “S-curve” diffusion of smart metering technology and a “lock-in” effect in the model. The research results provide users with insights as to effective policies and strategies for the roll-out of smart meters in the UK electricity market.

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Beder, Christian, Julia Blanke, and Martin Klepal. "Behaviour Demand Response in District Heating—A Simulation-Based Assessment of Potential Energy Savings." Proceedings 20, no. 1 (July 19, 2019): 2. http://dx.doi.org/10.3390/proceedings2019020002.

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Behaviour Demand Response (BDR) is an approach that enables the adaptation of operation of the district heating assets to dynamic market and capacity constraints by asking building occupants to participate and temporarily alter their demand profiles. In this paper we will present an explicit behavioural occupant model that considers motivational factors beyond financial incentives and that integrates with the district heating simulation model of the CIT Bishopstown campus, which has been used as a testbed for the E2District project. Both models have been calibrated to reflect the actual occupant population and energy consumption of the campus for the 2018/2019 heating period. This allows an accurate simulation-based assessment of potential energy savings through different dynamic behaviour demand response (BDR) triggers. We will show how a generic district simulation model can be integrated with the occupant behaviour model to quantify the potential additional energy savings that can be achieved through better demand-side management of the heating system.

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Podevijn, Gaëtan, Rehan O’Grady, Carole Fantini-Hauwel, and Marco Dorigo. "Investigating the effect of the reality gap on the human psychophysiological state in the context of human-swarm interaction." PeerJ Computer Science 2 (September 19, 2016): e82. http://dx.doi.org/10.7717/peerj-cs.82.

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The reality gap is the discrepancy between simulation and reality—the same behavioural algorithm results in different robot swarm behaviours in simulation and in reality (with real robots). In this paper, we study the effect of the reality gap on the psychophysiological reactions of humans interacting with a robot swarm. We compare the psychophysiological reactions of 28 participants interacting with a simulated robot swarm and with a real (non-simulated) robot swarm. Our results show that a real robot swarm provokes stronger reactions in our participants than a simulated robot swarm. We also investigate how to mitigate the effect of the reality gap (i.e., how to diminish the difference in the psychophysiological reactions between reality and simulation) by comparing psychophysiological reactions in simulation displayed on a computer screen and psychophysiological reactions in simulation displayed in virtual reality. Our results show that our participants tend to have stronger psychophysiological reactions in simulation displayed in virtual reality (suggesting a potential way of diminishing the effect of the reality gap).

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Rijal, Hom B., Michael A. Humphreys, and J. Fergus Nicol. "Study on Behavioural Adaptation for the Thermal Comfort and Energy Saving in Japanese Offices." Journal of the Institute of Engineering 15, no. 3 (October 16, 2020): 292–99. http://dx.doi.org/10.3126/jie.v15i3.32206.

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Office workers use a variety of adaptive opportunities to regulate their indoor thermal environment. The behavioural adaptations such as window opening, clothing adjustments, heating/cooling use are one of the important factors for the adaptive thermal comfort. It is well-known that they are the most important contributors in the adaptive thermal comfort model. Thus, if we understand the behavioural adaptation properly, we can explain the mechanism of the adaptive model. In addition, the indoor thermal environment is often adjusted using the air conditioning in Japanese office building to improve the thermal comfort and productivity. Thus, it is necessary to conduct research on the behavioural adaptation in the offices because the occupant behavior is different to the dwellings. In order to record the seasonal differences in behavioural adaptation and to develop an adaptive algorithm for Japanese offices, we measured temperatures in 11 office buildings and conducted the thermal comfort and occupant behaviour survey for over a year in Japanese offices. We collected 4,660 samples from about 1350 people. The proportion of ‘open window’ in the free running mode (neither heating or cooling being used) is significantly higher than that of the air-conditioned mode. The behavioural adaptation is related to the outdoor air temperature. The behavioural adaptation predicted by the regression analysis is in good agreement with the measured data. These findings can be applied to the building thermal simulation to predict the behavioural adaptation and energy use in office buildings.

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Carruthers, Thomas R., Kornelia Dabrowska, Wolfgang Haider, Eric A. Parkinson, Divya A. Varkey, Hillary Ward, Murdoch K. McAllister, et al. "Landscape-scale social and ecological outcomes of dynamic angler and fish behaviours: processes, data, and patterns." Canadian Journal of Fisheries and Aquatic Sciences 76, no. 6 (June 2019): 970–88. http://dx.doi.org/10.1139/cjfas-2018-0168.

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The first relatively complete landscape-scale social–ecological system (SES) model of a recreational fishery was developed and ground-truthed with independent angling effort data. Based on the British Columbia multistock recreational fishery for rainbow trout (Oncorynchus mykiss), the model includes hundreds of individual lake fisheries, hundreds of thousands of anglers, originating from tens of communities, connected by complex road and trail networks, all distributed over a landscape of approximately half a million square kilometres. The approach is unique in that it incorporates realistic and empirically derived behavioural interactions within and among the three key components of the SES: angler communities, fish populations, and management policies. Current management policies were characterized and alternate policies assessed by simulation. We examined spatial patterns in ecological and social properties of the SES and used simulations to investigate the impacts of alternate management policies on these patterns. Simulation outcomes strongly depended on the spatial redistribution of anglers across the landscape, existing road networks, heterogeneity in angler behaviours, and the spatial pattern of fish population productivity.

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Nagarajan, Magesh, and Duncan Shaw. "A behavioural simulation study of allocating evacuees to public emergency shelters." International Journal of Disaster Risk Reduction 55 (March 2021): 102083. http://dx.doi.org/10.1016/j.ijdrr.2021.102083.

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BEN-YAAKOV, SAM. "Average simulation of PWM converters by direct implementation of behavioural relationships." International Journal of Electronics 77, no. 5 (November 1994): 731–46. http://dx.doi.org/10.1080/00207219408926097.

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Tagliabue, Lavinia Chiara, Massimiliano Manfren, Angelo Luigi Camillo Ciribini, and Enrico De Angelis. "Probabilistic behavioural modeling in building performance simulation—The Brescia eLUX lab." Energy and Buildings 128 (September 2016): 119–31. http://dx.doi.org/10.1016/j.enbuild.2016.06.083.

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Chiba, Norishige, Shinji Sanakanishi, Kenichiro Yokoyama, Isao, Ootawara, Kazunobu Muraoka, and Nobuji Saito. "Visual simulation of water currents using a particle-based behavioural model." Journal of Visualization and Computer Animation 6, no. 3 (July 1995): 155–71. http://dx.doi.org/10.1002/vis.4340060305.

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Zonneveld, Nick, and Henk Nies. "Role-Playing Simulation Game: Experiencing the Behavioural Aspects of Integrated Care." International Journal of Integrated Care 22, S3 (November 4, 2022): 250. http://dx.doi.org/10.5334/ijic.icic22417.

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Du-Babcock, Bertha, and Richard D. Babcock. "Adapting an American-based Simulation to a Hong Kong Classroom." Business Communication Quarterly 63, no. 2 (June 2000): 9–40. http://dx.doi.org/10.1177/108056990006300202.

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Case studies tend to embed the language and values of the culture in which they are created. To use an American-based behavioural simulation, Looking Glass Inc., in Hong Kong, we needed to adapt it to the students' language environment and proficiency, their culturally derived behaviours, and their understanding of the context of American business. In Hong Kong, the norms prescribing language use are complex and contradictory; English is a major business, government, and legal language, but Cantonese and sometimes Mandarin have a continuing presence, especially in oral communication. The English in the simulation, however, reflect ing the authors' emphasis on realism, included slang and idiomatic expressions that were confusing even to students otherwise fluent in the language, and thus we had to modify materials to aid comprehension. We also had to adjust our administra tion of the materials to account for cultural differences between the individualistic and low power distance dimensions of the American scene represented in the sim ulation and the collectivistic and high power distance environment our students found more comfortable. Our strategy in adapting the simulation was to stimulate participants in Looking Glass Inc. to act authentically in their roles, negate reac tive and promote proactive behaviour at all four organisational levels, and encour age the thoughtful and complete analysis of the simulation, not something that came naturally. Finally, we had to make explicit several elements of American business assumed by the authors but not known to the students, including Ameri can geography and transportation systems, laws and administrative bodies, and race and gender issues.

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Muhamad Halil, Faridah, Hafiszah Ismail, Mohamad Sufian Hasim, and Halim Hashim. "Monte Carlo Simulation for Cost Forecasting in the Green Building Project." Asian Journal of Quality of Life 5, no. 18 (April 10, 2020): 33–42. http://dx.doi.org/10.21834/ajqol.v5i18.204.

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Monte Carlo Simulation is a mathematical technique that generates random variables for modelling risk. This technique is suitable and benefits to the various client such as public and private sector to evaluate the costing prepared by the Quantity Surveyor. The methodology used is a qualitative approach consisting of a case study and document analysis. The result shows through Monte Carlo simulation, can predict the worst return from the accuracy of the estimation and given absolute confidence for project development. Keywords: Monte Carlo, Risk Analysis, Cost Prediction, Qualitative Approach eISSN 2398-4279 ©2020 The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia.DOI: https://doi.org/10.21834/ajqol.v5i18.204

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Abdul Rani, Mohd Khairul Azahari, and Sharulnizam Ramli. "Development of Tawaf Simulation in Hajj Training in the New Norms." Environment-Behaviour Proceedings Journal 7, SI7 (August 31, 2022): 571–78. http://dx.doi.org/10.21834/ebpj.v7isi7.3831.

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Advances in technology through education will help the way people communicate and learn in nearly every aspect of modern life. Motion graphic has become progressively known because of their ability to catch the audience's attention rather than words alone. This globalized era somehow creates problems in combining information whereby confusion and difficulty in recalling information occur. Despite this, motion graphics could be an effective tool in education in conveying information successfully as it can convey much information compared to still pictures. Keywords: Tawaf Simulation, Motion Graphic, Hajj Training, New Norms. eISSN: 2398-4287 © 2022. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BYNC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia. DOI: https://doi.org/10.21834/ebpj.v7iSI7%20(Special%20Issue).3831

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Ma, Yong, Xingxu Zhang, Xiaoqiang Di, Tao Ren, Huamin Yang, and Binbin Cai. "Analysis and Identification of Students with Financial Difficulties: A Behavioural Feature Perspective." Discrete Dynamics in Nature and Society 2020 (June 28, 2020): 1–18. http://dx.doi.org/10.1155/2020/2071025.

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The identification of students with financial difficulties is one of the main problems in campus data research. Effective and timely identification not only provides convenience to campus administrators but also helps students who are really in financial hardship. The popular using of smart cards makes it possible to identify students with financial difficulties through big data. In this paper, we collect behavioural records from undergraduate students’ smart cards and propose five features by which to associate with students’ poverty level. Based on these features, we proposed the Apriori Balanced Algorithm (ABA) to mine the relationship of poverty level with students’ daily behaviour. Association rules show that students’ poverty level is most closely related to their academic performance, followed by consumption level, diligence level, and life regularity. Finally, we adopted the semisupervised K-means algorithm to more accurately find out students with financial difficulties. Tested by classical classification algorithms, our method has a higher identification rate, which is helpful for university administrators discover students in real financial hardship effectively.

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Journal articles on the topic 'Behavioural simulation'

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