This page has only limited features, please log in for full access.
While there is a number of frameworks and protocols in Agent-Based Modeling (ABM) that support the documentation of different aspects of a simulation study, it is surprising to find only a small number dealing with the handling of data. Here we present the results of discussions we had on the topic at the Lorentz Center workshop on Integrating Qualitative and Quantitative Evidence using Social Simulation (8-12 April 2019, Leiden, the Netherlands). We believe that important distinctions to be considered in the context of data use documentation are the differences of data use in relation to modeling approaches (theory driven etc.) and data documentation needs at the different stages in the modeling process (conceptualization, specification, calibration, and validation). What we hope to achieve by presenting this paper at this conference, with the help of the community, is to move forward the development of a generally acceptable protocol for documenting data use in the ABM process.
Peer-Olaf Siebers; Sebastian Achter; Cristiane Palaretti Bernardo; Melania Borit; Edmund Chattoe-Brown. First Steps Towards RAT: A Protocol for Documenting Data Use in the Agent-Based Modeling Process. First Complex Systems Digital Campus World E-Conference 2015 2021, 257 -261.
AMA StylePeer-Olaf Siebers, Sebastian Achter, Cristiane Palaretti Bernardo, Melania Borit, Edmund Chattoe-Brown. First Steps Towards RAT: A Protocol for Documenting Data Use in the Agent-Based Modeling Process. First Complex Systems Digital Campus World E-Conference 2015. 2021; ():257-261.
Chicago/Turabian StylePeer-Olaf Siebers; Sebastian Achter; Cristiane Palaretti Bernardo; Melania Borit; Edmund Chattoe-Brown. 2021. "First Steps Towards RAT: A Protocol for Documenting Data Use in the Agent-Based Modeling Process." First Complex Systems Digital Campus World E-Conference 2015 , no. : 257-261.
As a response to the urgent call for recovery actions against the COVID-19 crisis, this research aims to identify action priority areas post COVID-19 toward achieving the targets of the sustainable development goals (SDGs) within the 2030 Agenda for Sustainable Development launched by the United Nations (UN). This paper applies a mixed-method approach to map the post-COVID-19 SDGs targets on a fuzzy action priority surface at the country level in Iran, as a developing country, by taking the following four main steps: (1) using a modified Delphi method to make a list of the SDGs targets influenced by COVID-19; (2) using the best–worst method, as a multi-criteria decision-making tool, to weight the COVID-19 effects on the SDGs targets achievement; also (3) to weight the impact of the SDGs targets on the sustainable development implementation; and finally (4) designing a fuzzy inference system to calculate the action priority scores of the SDGs targets. As a result, reduction of poor people proportion by half (SDG 1.2), development-oriented policies for supporting creativity and job creation (SDG 8.3), end the pandemics and other epidemics (SDG 3.3), reduction of deaths and economic loss caused by disasters (SDG 11.5), and financial support for small-scale enterprises (SDG 9.3) were identified as the highest priorities for action, respectively, in the recovery agenda for sustainable development post COVID-19. The provided fuzzy action priority surface supports the UN’s SDGs achievement and implementing the 2030 Agenda for Sustainable Development in Iran. It also serves as a guideline to help the government, stakeholders, and policy-makers better analyze the long-term effects of the pandemic on the SDGs and their associated targets and mitigate its adverse economic, social, and environmental consequences. Graphical abstract
Meisam Ranjbari; Zahra Shams Esfandabadi; Simone Domenico Scagnelli; Peer-Olaf Siebers; Francesco Quatraro. Recovery agenda for sustainable development post COVID-19 at the country level: developing a fuzzy action priority surface. Environment, Development and Sustainability 2021, 1 -28.
AMA StyleMeisam Ranjbari, Zahra Shams Esfandabadi, Simone Domenico Scagnelli, Peer-Olaf Siebers, Francesco Quatraro. Recovery agenda for sustainable development post COVID-19 at the country level: developing a fuzzy action priority surface. Environment, Development and Sustainability. 2021; ():1-28.
Chicago/Turabian StyleMeisam Ranjbari; Zahra Shams Esfandabadi; Simone Domenico Scagnelli; Peer-Olaf Siebers; Francesco Quatraro. 2021. "Recovery agenda for sustainable development post COVID-19 at the country level: developing a fuzzy action priority surface." Environment, Development and Sustainability , no. : 1-28.
The COVID-19 pandemic has immensely impacted the economic, social, and environmental pillars of sustainability in human lives. Due to the scholars’ increasing interest in responding to the urgent call for action against the pandemic, the literature of sustainability research considering COVID-19 consequences is very fragmented. Therefore, a comprehensive review of the COVID-19 implications for sustainability practices is still lacking. This research aims to analyze the effects of COVID-19 on the triple bottom line (TBL) of sustainability to support the future sustainable development agenda. To achieve that, the following research questions are addressed by conducting a systematic literature review: (i) what is the current status of research on the TBL of sustainability considering COVID-19 implications? (ii) how does COVID-19 affect the TBL of sustainability? and (iii) what are the potential research gaps and future research avenues for sustainable development post COVID-19? The results manifest the major implications of the COVID-19 outbreak for the triple sustainability pillars and the sustainable development agenda from the economic, social, and environmental points of view. The key findings provide inclusive insights for governments, authorities, practitioners, and policy-makers to alleviate the pandemic’s negative impacts on sustainable development and to realize the sustainability transition opportunities post COVID-19. Finally, five research directions for sustainable development corresponding to the United Nations’ sustainable development goals (SDGs) post COVID-19 are provided, as follows: (1) sustainability action plan considering COVID-19 implications: refining sustainability goals and targets and developing measurement framework; (2) making the most of sustainability transition opportunities in the wake of COVID-19: focus on SDG 12 and SDG 9; (3) innovative solutions for economic resilience towards sustainability post COVID-19: focus on SDG 1, SDG 8, and SDG 17; (4) in-depth analysis of the COVID-19 long-term effects on social sustainability: focus on SDG 4, SDG 5, and SDG 10; and (5) expanding quantitative research to harmonize the COVID-19-related sustainability research.
Meisam Ranjbari; Zahra Shams Esfandabadi; Maria Chiara Zanetti; Simone Domenico Scagnelli; Peer-Olaf Siebers; Mortaza Aghbashlo; Wanxi Peng; Francesco Quatraro; Meisam Tabatabaei. Three pillars of sustainability in the wake of COVID-19: A systematic review and future research agenda for sustainable development. Journal of Cleaner Production 2021, 297, 126660 .
AMA StyleMeisam Ranjbari, Zahra Shams Esfandabadi, Maria Chiara Zanetti, Simone Domenico Scagnelli, Peer-Olaf Siebers, Mortaza Aghbashlo, Wanxi Peng, Francesco Quatraro, Meisam Tabatabaei. Three pillars of sustainability in the wake of COVID-19: A systematic review and future research agenda for sustainable development. Journal of Cleaner Production. 2021; 297 ():126660.
Chicago/Turabian StyleMeisam Ranjbari; Zahra Shams Esfandabadi; Maria Chiara Zanetti; Simone Domenico Scagnelli; Peer-Olaf Siebers; Mortaza Aghbashlo; Wanxi Peng; Francesco Quatraro; Meisam Tabatabaei. 2021. "Three pillars of sustainability in the wake of COVID-19: A systematic review and future research agenda for sustainable development." Journal of Cleaner Production 297, no. : 126660.
Purpose This viewpoint article is concerned with an attempt to advance organisational plasticity (OP) modelling concepts by using a novel community modelling framework (PhiloLab) from the social simulation community to drive the process of idea generation. In addition, the authors want to feed back their experience with PhiloLab as they believe that this way of idea generation could also be of interest to the wider evidence-based human resource management (EBHRM) community. Design/methodology/approach The authors used some workshop sessions to brainstorm new conceptual ideas in a structured and efficient way with a multidisciplinary group of 14 (mainly academic) participants using PhiloLab. This is a tool from the social simulation community, which stimulates and formally supports discussions about philosophical questions of future societal models by means of developing conceptual agent-based simulation models. This was followed by an analysis of the qualitative data gathered during the PhiloLab sessions, feeding into the definition of a set of primary axioms of a plastic organisation. Findings The PhiloLab experiment helped with defining a set of primary axioms of a plastic organisation, which are presented in this viewpoint article. The results indicated that the problem was rather complex, but it also showed good potential for an agent-based simulation model to tackle some of the key issues related to OP. The experiment also showed that PhiloLab was very useful in terms of knowledge and idea gathering. Originality/value Through information gathering and open debates on how to create an agent-based simulation model of a plastic organisation, the authors could identify some of the characteristics of OP and start structuring some of the parameters for a computational simulation. With the outcome of the PhiloLab experiment, the authors are paving the way towards future exploratory computational simulation studies of OP.
Peer-Olaf Siebers; Dinuka B. Herath; Emanuele Bardone; Siavash Farahbakhsh; Peter Gloggengiehser Knudsen; Jens Koed Madsen; Mehwish Mufti; Martin Neumann; Dale Richards; Raffaello Seri; Davide Secchi. On the quest for defining organisational plasticity: a community modelling experiment. Evidence-based HRM: a Global Forum for Empirical Scholarship 2020, 9, 126 -138.
AMA StylePeer-Olaf Siebers, Dinuka B. Herath, Emanuele Bardone, Siavash Farahbakhsh, Peter Gloggengiehser Knudsen, Jens Koed Madsen, Mehwish Mufti, Martin Neumann, Dale Richards, Raffaello Seri, Davide Secchi. On the quest for defining organisational plasticity: a community modelling experiment. Evidence-based HRM: a Global Forum for Empirical Scholarship. 2020; 9 (2):126-138.
Chicago/Turabian StylePeer-Olaf Siebers; Dinuka B. Herath; Emanuele Bardone; Siavash Farahbakhsh; Peter Gloggengiehser Knudsen; Jens Koed Madsen; Mehwish Mufti; Martin Neumann; Dale Richards; Raffaello Seri; Davide Secchi. 2020. "On the quest for defining organisational plasticity: a community modelling experiment." Evidence-based HRM: a Global Forum for Empirical Scholarship 9, no. 2: 126-138.
We develop a mixed-integer non-linear programming model for firms’ decarbonisation investment decision-making towards a sustainable environment. Our model seeks the optimal investment for a firm to achieve maximum profit under constraints derived from its environmental protection awareness and the government’s taxation policy. We use an uncertainty theory to formulate the relationship of a firm’s environmental protection awareness and its investment budget levels. Governments’ taxation policy is modelled by a step-wise linear function, where reduced carbon dioxide emission can help the firm reduce taxation. A linearisation is proposed to solve the non-linear problem efficiently. A case study for a sector of electronic component manufacturers in Nottingham, the United Kingdom, demonstrates the practical implementation of the proposed model. Several large-sized instances, which were randomly generated, were utilised to evaluate the the efficiency of model in terms of computational time. Our model can be used to explore budget options to obtain higher profits under a particular taxation policy.
Trung-Hieu Tran; Yong Mao; Peer-Olaf Siebers. Optimising Decarbonisation Investment for Firms towards Environmental Sustainability. Sustainability 2019, 11, 5718 .
AMA StyleTrung-Hieu Tran, Yong Mao, Peer-Olaf Siebers. Optimising Decarbonisation Investment for Firms towards Environmental Sustainability. Sustainability. 2019; 11 (20):5718.
Chicago/Turabian StyleTrung-Hieu Tran; Yong Mao; Peer-Olaf Siebers. 2019. "Optimising Decarbonisation Investment for Firms towards Environmental Sustainability." Sustainability 11, no. 20: 5718.
Although driving behavior has been largely studied amongst private motor vehicles drivers, the literature addressing heavy goods vehicle (HGV) drivers is scarce. Identifying the existing groups of driving stereotypes and their proportions enables researchers, companies, and policy makers to establish group-specific strategies to improve safety and economy. In addition, insight into driving styles can help predict drivers' reactions and therefore enable the modeling of interactions between vehicles and the possible obstacles encountered on a journey. Consequently, there are also contributions to the research and development of autonomous vehicles and smart roads. In this paper, our interest lies in investigating driving behavior within the HGV community in the United Kingdom (U.K.). We conduct analysis of a telematics dataset containing the incident information on 21,193 HGV drivers across the U.K. We are interested in answering two research questions: 1) What groups of behavior are we able to uncover? 2) How do these groups complement current findings in the literature? To answer these questions, we apply a two-stage data analysis methodology involving consensus clustering and ensemble classification to the dataset. Through the analysis, eight patterns of behavior are uncovered. It is also observed that although our findings have similarities to those from previous work on driving behavior, further knowledge is obtained, such as extra patterns and driving traits arising from vehicle and road characteristics.
Grazziela P. Figueredo; Utkarsh Agrawal; Jimiama M. M. Mase; Mohammad Mesgarpour; Christian Wagner; Daniele Soria; Jonathan M. Garibaldi; Peer-Olaf Siebers; Robert I. John. Identifying Heavy Goods Vehicle Driving Styles in the United Kingdom. IEEE Transactions on Intelligent Transportation Systems 2018, 20, 3324 -3336.
AMA StyleGrazziela P. Figueredo, Utkarsh Agrawal, Jimiama M. M. Mase, Mohammad Mesgarpour, Christian Wagner, Daniele Soria, Jonathan M. Garibaldi, Peer-Olaf Siebers, Robert I. John. Identifying Heavy Goods Vehicle Driving Styles in the United Kingdom. IEEE Transactions on Intelligent Transportation Systems. 2018; 20 (9):3324-3336.
Chicago/Turabian StyleGrazziela P. Figueredo; Utkarsh Agrawal; Jimiama M. M. Mase; Mohammad Mesgarpour; Christian Wagner; Daniele Soria; Jonathan M. Garibaldi; Peer-Olaf Siebers; Robert I. John. 2018. "Identifying Heavy Goods Vehicle Driving Styles in the United Kingdom." IEEE Transactions on Intelligent Transportation Systems 20, no. 9: 3324-3336.
The uneven utilisation of modes of transport has a big impact on traffic in transport pathway infrastrutures. For motor vehicles for instance, this situation explains rapid road deterioration and the large amounts of money invested in maintenance and development due to overuse. There are many approaches to managing this problem; however, the impact of individual users in infrastructural maintenance is mostly ignored. In this position paper, we hypothesise that important changes torwards a more efficient use of the transport network start with its users and their behavioural changes. To this end, we introduce our vision on how to employ data driven, intelligent agent-based modelling, incorporating human factors aspects, as a toolset to understand travellers and to stimulate behavioural changes. The aim is to achieve better balanced and integrated mobility usage within the transport network. The idea is explored with a few guided questions, and a methodology is proposed. We employ 1) cognitive work analysis to investigate the reasons for travellers' mode choice; 2) computational intelligence to extract and represent knowledge from related datasets; 3) agent-based modelling to represent the real-world and to observe both individual and emergent behaviours. Future directions to adapt our methodology to alternative smart mobility projects are also discussed.
Olusola. T. Faboya; Grazziela P. Figueredo; Brendan Ryan; Peer-Olaf Siebers. Position Paper: The Usefulness of Data-driven, Intelligent Agent-Based Modelling for Transport Infrastructure Management. 2018 21st International Conference on Intelligent Transportation Systems (ITSC) 2018, 144 -149.
AMA StyleOlusola. T. Faboya, Grazziela P. Figueredo, Brendan Ryan, Peer-Olaf Siebers. Position Paper: The Usefulness of Data-driven, Intelligent Agent-Based Modelling for Transport Infrastructure Management. 2018 21st International Conference on Intelligent Transportation Systems (ITSC). 2018; ():144-149.
Chicago/Turabian StyleOlusola. T. Faboya; Grazziela P. Figueredo; Brendan Ryan; Peer-Olaf Siebers. 2018. "Position Paper: The Usefulness of Data-driven, Intelligent Agent-Based Modelling for Transport Infrastructure Management." 2018 21st International Conference on Intelligent Transportation Systems (ITSC) , no. : 144-149.
In this paper, we present a case study demonstrating how dynamic and uncertain criteria can be incorporated into a multicriteria analysis with the help of discrete event simulation. The simulation guided multicriteria analysis can include both monetary and non-monetary criteria that are static or dynamic, whereas standard multi criteria analysis only deals with static criteria and cost benefit analysis only deals with static monetary criteria. The dynamic and uncertain criteria are incorporated by using simulation to explore how the decision options perform. The results of the simulation are then fed into the multicriteria analysis. By enabling the incorporation of dynamic and uncertain criteria, the dynamic multiple criteria analysis was able to take a unique perspective of the problem. The highest ranked option returned by the dynamic multicriteria analysis differed from the other decision aid techniques. The results suggest that dynamic multiple criteria analysis may be highly suitable for decisions that require long-term evaluation, as this is often when uncertainty is introduced.
Uwe Aickelin; Jenna Marie Reps; Peer-Olaf Siebers; Peng Li. Using simulation to incorporate dynamic criteria into multiple criteria decision-making. Journal of the Operational Research Society 2017, 69, 1021 -1032.
AMA StyleUwe Aickelin, Jenna Marie Reps, Peer-Olaf Siebers, Peng Li. Using simulation to incorporate dynamic criteria into multiple criteria decision-making. Journal of the Operational Research Society. 2017; 69 (7):1021-1032.
Chicago/Turabian StyleUwe Aickelin; Jenna Marie Reps; Peer-Olaf Siebers; Peng Li. 2017. "Using simulation to incorporate dynamic criteria into multiple criteria decision-making." Journal of the Operational Research Society 69, no. 7: 1021-1032.
In simulation projects, it is generally beneficial to have a toolset that allows following a more formal approach to system analysis, model design and model implementation. Such formal methods are developed to support a systematic approach by making different steps explicit as well as providing a precise language to express the results of those steps, documenting not just the final model but also intermediate steps. This chapter consists of two parts: the first gives an overview of which tools developed in software engineering can be and have been adapted to agent-based social simulation; the second part demonstrates with the help of an informative example how some of these tools can be combined into an overall structured approach to model development.
Peer-Olaf Siebers; Franziska Klügl. What Software Engineering Has to Offer to Agent-Based Social Simulation. Understanding Complex Systems 2017, 81 -117.
AMA StylePeer-Olaf Siebers, Franziska Klügl. What Software Engineering Has to Offer to Agent-Based Social Simulation. Understanding Complex Systems. 2017; ():81-117.
Chicago/Turabian StylePeer-Olaf Siebers; Franziska Klügl. 2017. "What Software Engineering Has to Offer to Agent-Based Social Simulation." Understanding Complex Systems , no. : 81-117.
In this paper we present a case study demonstrating how dynamic and uncertain criteria can be incorporated into a multi-criteria analysis with the help of discrete event simulation. The simulation guided multicriteria analysis can include both monetary and nonmonetary criteria that are static or dynamic, whereas standard multi-criteria analysis only deals with static criteria and cost benefit analysis only deals with static monetary criteria. The dynamic and uncertain criteria are incorporated by using simulation to explore how the decision options perform. The results of the simulation are then fed into the multi-criteria analysis. By enabling the incorporation of dynamic and uncertain criteria, the dynamic multiple criteria analysis was able to take a unique perspective of the problem. The highest ranked option returned by the dynamic multi-criteria analysis differed from the other decision aid techniques. The results suggest that dynamic multiple criteria analysis may be highly suitable for decisions that require long term evaluation, as this is often when uncertainty is introduced.
Uwe Aickelin; Jenna Reps; Peer-Olaf Siebers. Using Simulation to Incorporate Dynamic Criteria into Multiple Criteria Decision Making. SSRN Electronic Journal 2017, 1 .
AMA StyleUwe Aickelin, Jenna Reps, Peer-Olaf Siebers. Using Simulation to Incorporate Dynamic Criteria into Multiple Criteria Decision Making. SSRN Electronic Journal. 2017; ():1.
Chicago/Turabian StyleUwe Aickelin; Jenna Reps; Peer-Olaf Siebers. 2017. "Using Simulation to Incorporate Dynamic Criteria into Multiple Criteria Decision Making." SSRN Electronic Journal , no. : 1.
Kunpeng Wang; Peer-Olaf Siebers; Darren Robinson. Towards Generalized Co-simulation of Urban Energy Systems. Procedia Engineering 2017, 198, 366 -374.
AMA StyleKunpeng Wang, Peer-Olaf Siebers, Darren Robinson. Towards Generalized Co-simulation of Urban Energy Systems. Procedia Engineering. 2017; 198 ():366-374.
Chicago/Turabian StyleKunpeng Wang; Peer-Olaf Siebers; Darren Robinson. 2017. "Towards Generalized Co-simulation of Urban Energy Systems." Procedia Engineering 198, no. : 366-374.
Grazziela P. Figueredo; Peer-Olaf Siebers; Uwe Aickelin; Stephanie Foan. A Beginners Guide to Systems Simulation in Immunology. SSRN Electronic Journal 2016, 1 .
AMA StyleGrazziela P. Figueredo, Peer-Olaf Siebers, Uwe Aickelin, Stephanie Foan. A Beginners Guide to Systems Simulation in Immunology. SSRN Electronic Journal. 2016; ():1.
Chicago/Turabian StyleGrazziela P. Figueredo; Peer-Olaf Siebers; Uwe Aickelin; Stephanie Foan. 2016. "A Beginners Guide to Systems Simulation in Immunology." SSRN Electronic Journal , no. : 1.
How do technology users effectively transit from having zero knowledge about a technology to making the best use of it after an authoritative technology adoption? This post-adoption user learning has received little research attention in technology management literature. In this paper we investigate user learning in authoritative technology adoption by developing an agent-based model using the case of council-led smart meter deployment in the UK City of Leeds. Energy consumers gain experience of using smart meters based on the learning curve in behavioural learning. With the agent-based model we carry out experiments to validate the model and test different energy interventions that local authorities can use to facilitate energy consumers' learning and maintain their continuous use of the technology. Our results show that the easier energy consumers become experienced, the more energy-efficient they are and the more energy saving they can achieve; encouraging energy consumers' contacts via various informational means can facilitate their learning; and developing and maintaining their positive attitude toward smart metering can enable them to use the technology continuously. Contributions and energy policy/intervention implications are discussed in this paper.
Tao Zhang; Peer-Olaf Siebers; Uwe Aickelin. Simulating user learning in authoritative technology adoption: An agent based model for council-led smart meter deployment planning in the UK. 2016, 1 .
AMA StyleTao Zhang, Peer-Olaf Siebers, Uwe Aickelin. Simulating user learning in authoritative technology adoption: An agent based model for council-led smart meter deployment planning in the UK. . 2016; ():1.
Chicago/Turabian StyleTao Zhang; Peer-Olaf Siebers; Uwe Aickelin. 2016. "Simulating user learning in authoritative technology adoption: An agent based model for council-led smart meter deployment planning in the UK." , no. : 1.
How do technology users effectively transit from having zero knowledge about a technology to making the best use of it after an authoritative technology adoption? This post-adoption user learning has received little research attention in technology management literature. In this paper we investigate user learning in authoritative technology adoption by developing an agent-based model using the case of council-led smart meter deployment in the UK City of Leeds. Energy consumers gain experience of using smart meters based on the learning curve in behavioural learning. With the agent-based model we carry out experiments to validate the model and test different energy interventions that local authorities can use to facilitate energy consumers' learning and maintain their continuous use of the technology. Our results show that the easier energy consumers become experienced, the more energy-efficient they are and the more energy saving they can achieve; encouraging energy consumers' contacts via various informational means can facilitate their learning; and developing and maintaining their positive attitude toward smart metering can enable them to use the technology continuously. Contributions and energy policy/intervention implications are discussed in this paper.
Tao Zhang; Peer-Olaf Siebers; Uwe Aickelin. Simulating user learning in authoritative technology adoption: An agent based model for council-led smart meter deployment planning in the UK. Technological Forecasting and Social Change 2016, 106, 74 -84.
AMA StyleTao Zhang, Peer-Olaf Siebers, Uwe Aickelin. Simulating user learning in authoritative technology adoption: An agent based model for council-led smart meter deployment planning in the UK. Technological Forecasting and Social Change. 2016; 106 ():74-84.
Chicago/Turabian StyleTao Zhang; Peer-Olaf Siebers; Uwe Aickelin. 2016. "Simulating user learning in authoritative technology adoption: An agent based model for council-led smart meter deployment planning in the UK." Technological Forecasting and Social Change 106, no. : 74-84.
The weather is unpredictable and can have a large impact on the profitability of seasonal businesses, particularly if staffing requirements are highly temperature-dependent. In this paper we describe our efforts in developing a what-if analysis tool to assist affected Small and Medium Enterprises in determining the best case scenario for timing hiring new staff and deciding the optimum length of temporary employment contracts. Together with a boiler maintenance company we have developed a prototype simulation tool that can be employed by users with minimal statistical and modelling knowledge. Our usability tests with the boiler maintenance company confirmed the usefulness of the developed tool as a decision support aid for managers. In this paper we focus on describing the tool development and testing process. With regards to real world experimentation we are still waiting for the feedback from the company.
Leeanne May; Peer-Olaf Siebers. Using simulation to assist recruitment in seasonally dependant contact centers. 2015 Winter Simulation Conference (WSC) 2015, 1573 -1584.
AMA StyleLeeanne May, Peer-Olaf Siebers. Using simulation to assist recruitment in seasonally dependant contact centers. 2015 Winter Simulation Conference (WSC). 2015; ():1573-1584.
Chicago/Turabian StyleLeeanne May; Peer-Olaf Siebers. 2015. "Using simulation to assist recruitment in seasonally dependant contact centers." 2015 Winter Simulation Conference (WSC) , no. : 1573-1584.
Olusola Theophilus Faboya; Peer-Olaf Siebers. Simulating Airline Marketing Strategy Using System Dynamics Modelling. ECMS 2015 Proceedings edited by: Valeri M. Mladenov, Petia Georgieva, Grisha Spasov, Galidiya Petrova 2015, 425 -431.
AMA StyleOlusola Theophilus Faboya, Peer-Olaf Siebers. Simulating Airline Marketing Strategy Using System Dynamics Modelling. ECMS 2015 Proceedings edited by: Valeri M. Mladenov, Petia Georgieva, Grisha Spasov, Galidiya Petrova. 2015; ():425-431.
Chicago/Turabian StyleOlusola Theophilus Faboya; Peer-Olaf Siebers. 2015. "Simulating Airline Marketing Strategy Using System Dynamics Modelling." ECMS 2015 Proceedings edited by: Valeri M. Mladenov, Petia Georgieva, Grisha Spasov, Galidiya Petrova , no. : 425-431.
Grazziela P. Figueredo; Peer-Olaf Siebers; Uwe Aickelin; Amanda Whitbrook; Jonathan M. Garibaldi. Juxtaposition of System Dynamics and Agent-Based Simulation for a Case Study in Immunosenescence. SSRN Electronic Journal 2015, 1 .
AMA StyleGrazziela P. Figueredo, Peer-Olaf Siebers, Uwe Aickelin, Amanda Whitbrook, Jonathan M. Garibaldi. Juxtaposition of System Dynamics and Agent-Based Simulation for a Case Study in Immunosenescence. SSRN Electronic Journal. 2015; ():1.
Chicago/Turabian StyleGrazziela P. Figueredo; Peer-Olaf Siebers; Uwe Aickelin; Amanda Whitbrook; Jonathan M. Garibaldi. 2015. "Juxtaposition of System Dynamics and Agent-Based Simulation for a Case Study in Immunosenescence." SSRN Electronic Journal , no. : 1.
Advances in healthcare and in the quality of life significantly increase human life expectancy. With the aging of populations, new un-faced challenges are brought to science. The human body is naturally selected to be well-functioning until the age of reproduction to keep the species alive. However, as the lifespan extends, unseen problems due to the body deterioration emerge. There are several age-related diseases with no appropriate treatment; therefore, the complex aging phenomena needs further understanding. It is known that immunosenescence is highly correlated to the negative effects of aging. In this work we advocate the use of simulation as a tool to assist the understanding of immune aging phenomena. In particular, we are comparing system dynamics modelling and simulation (SDMS) and agent-based modelling and simulation (ABMS) for the case of age-related depletion of naive T cells in the organism. We address the following research questions: Which simulation approach is more suitable for this problem? Can these approaches be employed interchangeably? Is there any benefit of using one approach compared to the other? Results show that both simulation outcomes closely fit the observed data and existing mathematical model; and the likely contribution of each of the naive T cell repertoire maintenance method can therefore be estimated. The differences observed in the outcomes of both approaches are due to the probabilistic character of ABMS contrasted to SDMS. However, they do not interfere in the overall expected dynamics of the populations. In this case, therefore, they can be employed interchangeably, with SDMS being simpler to implement and taking less computational resources.
Grazziela P. Figueredo; Peer-Olaf Siebers; Uwe Aickelin; Amanda Whitbrook; Jonathan M. Garibaldi. Juxtaposition of System Dynamics and Agent-Based Simulation for a Case Study in Immunosenescence. PLOS ONE 2015, 10, e0118359 .
AMA StyleGrazziela P. Figueredo, Peer-Olaf Siebers, Uwe Aickelin, Amanda Whitbrook, Jonathan M. Garibaldi. Juxtaposition of System Dynamics and Agent-Based Simulation for a Case Study in Immunosenescence. PLOS ONE. 2015; 10 (3):e0118359.
Chicago/Turabian StyleGrazziela P. Figueredo; Peer-Olaf Siebers; Uwe Aickelin; Amanda Whitbrook; Jonathan M. Garibaldi. 2015. "Juxtaposition of System Dynamics and Agent-Based Simulation for a Case Study in Immunosenescence." PLOS ONE 10, no. 3: e0118359.
This is a guest editorial - there is no
Peer-Olaf Siebers; Paul Davidsson. Engineering Agent-Based Social Simulations: An Introduction. Journal of Artificial Societies and Social Simulation 2015, 18, 1 .
AMA StylePeer-Olaf Siebers, Paul Davidsson. Engineering Agent-Based Social Simulations: An Introduction. Journal of Artificial Societies and Social Simulation. 2015; 18 (3):1.
Chicago/Turabian StylePeer-Olaf Siebers; Paul Davidsson. 2015. "Engineering Agent-Based Social Simulations: An Introduction." Journal of Artificial Societies and Social Simulation 18, no. 3: 1.
Typical driving behaviors such as car-following and lane-changing can be described based on common concepts. But these behaviors could be different from driver to driver, from nation to nation due to different individual influencing factors (e.g. age, gender, driving age, mood) and situational influencing factors (e.g. weather, congestion, respect for law). Studies show that drivers who have higher level of “driving discourtesy” (i.e rudeness and aggressiveness) have higher probability of performing risky driving behaviors including traffic rule violations. In this paper, we propose a model named Driving Discourtesy Model (DDM). In this model, a new indicator is defined to measure the “driving discourtesy”. With a probability distribution method, we are able to estimate the probability of performing risky driving behaviors of each vehicle based on a vehicle's individual influencing factors and situational factors. A multi-agent traffic simulation is developed to test DDM. The experiment results show that risky driving behaviors including speeding, lane-changing for taking speed advantages and driving on hard shoulder can be simulated effectively using DDM.
Xia Li; Ruibin Bai; Peer-Olaf Siebers; Christian Wagner; Christoph Wagner. Modeling urban road risky driving behaviors in China with multi-agent microscopic traffic simulation. 17th International IEEE Conference on Intelligent Transportation Systems (ITSC) 2014, 1740 -1745.
AMA StyleXia Li, Ruibin Bai, Peer-Olaf Siebers, Christian Wagner, Christoph Wagner. Modeling urban road risky driving behaviors in China with multi-agent microscopic traffic simulation. 17th International IEEE Conference on Intelligent Transportation Systems (ITSC). 2014; ():1740-1745.
Chicago/Turabian StyleXia Li; Ruibin Bai; Peer-Olaf Siebers; Christian Wagner; Christoph Wagner. 2014. "Modeling urban road risky driving behaviors in China with multi-agent microscopic traffic simulation." 17th International IEEE Conference on Intelligent Transportation Systems (ITSC) , no. : 1740-1745.