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Dr PEER-OLAF SIEBERS's Outputs (36)

Engineering Agent-Based Social Simulations: An Introduction (2015)
Journal Article
Siebers, P.-O., & Davidsson, P. (2015). Engineering Agent-Based Social Simulations: An Introduction. Journal of Artificial Societies and Social Simulation, 18(3), Article 13. https://doi.org/10.18564/jasss.2835

This special section on "Engineering Agent-Based Social Simulations" aims to represent the current state of the art in using Software Engineering (SE) methods in ABSS. It includes a mixture of theoretically oriented papers that describe frameworks, n... Read More about Engineering Agent-Based Social Simulations: An Introduction.

Juxtaposition of System Dynamics and Agent-Based Simulation for a Case Study in Immunosenescence (2015)
Journal Article
Figueredo, G. P., Siebers, P.-O., Aickelin, U., Whitbrook, A., & Garibaldi, J. M. (2015). Juxtaposition of System Dynamics and Agent-Based Simulation for a Case Study in Immunosenescence. PLoS ONE, 10(3), Article e0118359. https://doi.org/10.1371/journal.pone.0118359

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 o... Read More about Juxtaposition of System Dynamics and Agent-Based Simulation for a Case Study in Immunosenescence.

Comparing stochastic differential equations and agent-based modelling and simulation for early-stage cancer (2014)
Journal Article
Figueredo, G. P., Siebers, P.-O., Owen, M. R., Reps, J., & Aickelin, U. (2014). Comparing stochastic differential equations and agent-based modelling and simulation for early-stage cancer. PLoS ONE, 9(4), Article e95150. https://doi.org/10.1371/journal.pone.0095150

There is great potential to be explored regarding the use of agent-based modelling and simulation as an alternative paradigm to investigate early-stage cancer interactions with the immune system. It does not suffer from some limitations of ordinary d... Read More about Comparing stochastic differential equations and agent-based modelling and simulation for early-stage cancer.

Investigating mathematical models of immuno-interactions with early-stage cancer under an agent-based modelling perspective (2013)
Journal Article
Figueredo, G. P., Siebers, P.-O., & Aickelin, U. (2013). Investigating mathematical models of immuno-interactions with early-stage cancer under an agent-based modelling perspective. BMC Bioinformatics, 14(Spl. 6), Article S6. https://doi.org/10.1186/1471-2105-14-S6-S6

Many advances in research regarding immuno-interactions with cancer were developed with the help of ordinary differential equation (ODE) models. These models, however, are not effectively capable of representing problems involving individual localisa... Read More about Investigating mathematical models of immuno-interactions with early-stage cancer under an agent-based modelling perspective.

Modelling electrical car diffusion based on agents (2012)
Journal Article
Yu, L., Zhang, T., Siebers, P.-O., & Aickelin, U. (2012). Modelling electrical car diffusion based on agents. https://doi.org/10.4156/jdcta.vol6.issue19.52

Replacing traditional fossil fuel vehicles with innovative zero-emission vehicles for the transport in cities is one of the major tactics to achieve the UK government 2020 target of cutting emission. We are developing an agent-based simulation mode... Read More about Modelling electrical car diffusion based on agents.

A three-dimensional model of residential energy consumer archetypes for local energy policy design in the UK (2012)
Journal Article
Zhang, T., Siebers, P.-O., & Aickelin, U. (2012). A three-dimensional model of residential energy consumer archetypes for local energy policy design in the UK. Energy Policy, 47, 102-110. https://doi.org/10.1016/j.enpol.2012.04.027

This paper reviews major studies in three traditional lines of research in residential energy consumption in the UK, i.e. economic/infrastructure, behaviour, and load profiling. Based on the review the paper proposes a three-dimensional model for arc... Read More about A three-dimensional model of residential energy consumer archetypes for local energy policy design in the UK.

Towards the development of a simulator for investigating the impact of people management practices on retail performance (2011)
Journal Article
Siebers, P.-O., Aickelin, U., Celia, H., & Clegg, C. (2011). Towards the development of a simulator for investigating the impact of people management practices on retail performance. Journal of Simulation, 5(4), 242-265. https://doi.org/10.1057/jos.2010.20

Often models for understanding the impact of management practices on retail performance are developed under the assumption of stability, equilibrium and linearity, whereas retail operations are considered in reality to be dynamic, non-linear and comp... Read More about Towards the development of a simulator for investigating the impact of people management practices on retail performance.

Modelling electricity consumption in office buildings: an agent based approach (2011)
Journal Article
Zhang, T., Siebers, P.-O., & Aickelin, U. (2011). Modelling electricity consumption in office buildings: an agent based approach. Energy and Buildings, 43(10), https://doi.org/10.1016/j.enbuild.2011.07.007

In this paper, we develop an agent-based model which integrates four important elements, i.e. organisational energy management policies/regulations, energy management technologies, electric appliances and equipment, and human behaviour, to simulate t... Read More about Modelling electricity consumption in office buildings: an agent based approach.

A first approach on modelling staff proactiveness in retail simulation models (2011)
Journal Article
Siebers, P.-O., & Aickelin, U. (2011). A first approach on modelling staff proactiveness in retail simulation models. Journal of Artificial Societies and Social Simulation, 14(2), https://doi.org/10.18564/jasss.1760

There has been a noticeable shift in the relative composition of the industry in the developed countries in recent years; manufacturing is decreasing while the service sector is becoming more important. However, currently most
simulation models for... Read More about A first approach on modelling staff proactiveness in retail simulation models.

Discrete-event simulation is dead, long live agent-based simulation! (2010)
Journal Article
Siebers, P.-O., Macal, C. M., Garnett, J., Buxton, D., & Pidd, M. (2010). Discrete-event simulation is dead, long live agent-based simulation!. Journal of Simulation, 4(3), 204-210

There has been much discussion about why agent-based simulation (ABS) is not as widely used as discrete-event simulation in Operational Research (OR) as it is in neighbouring disciplines such as Computer Science, the Social Sciences or Economics. To... Read More about Discrete-event simulation is dead, long live agent-based simulation!.

Simulating customer experience and word-of-mouth in retail: a case study (2010)
Journal Article
Siebers, P.-O., Aickelin, U., Celia, H., & Clegg, C. W. (2010). Simulating customer experience and word-of-mouth in retail: a case study. SIMULATION, 86(1), https://doi.org/10.1177/0037549708101575

Agents offer a new and exciting way of understanding the world of work. In this paper we describe the development of agent-based simulation models, designed to help to
understand the relationship between people management practices and retail perfor... Read More about Simulating customer experience and word-of-mouth in retail: a case study.

Comparing simulation output accuracy of discrete event and agent based models: a quantitative approach (2009)
Journal Article
Abdul Majid, M., Aickelin, U., & Siebers, P.-O. (2009). Comparing simulation output accuracy of discrete event and agent based models: a quantitative approach

In our research we investigate the output accuracy of
discrete event simulation models and agent based simulation
models when studying human centric complex systems. In
this paper we focus on human reactive behaviour as it is
possible in both mod... Read More about Comparing simulation output accuracy of discrete event and agent based models: a quantitative approach.

Modelling and simulating retail management practices: a first approach (2009)
Journal Article
Siebers, P.-O., Aickelin, U., Celia, H., & Clegg, C. (2009). Modelling and simulating retail management practices: a first approach. International Journal of Simulation and Process Modelling, 5(3), https://doi.org/10.1504/IJSPM.2009.031096

Multi-agent systems offer a new and exciting way of understanding the world of work. We apply agent-based modeling and simulation to investigate a set of problems
in a retail context. Specifically, we are working to understand the relationship betwe... Read More about Modelling and simulating retail management practices: a first approach.

Enhancing productivity: the role of management practices (2008)
Journal Article
Siebers, P.-O., Aickelin, U., Battisti, G., Celia, H., Clegg, C., Fu, X., Hoyos, R. D., Iona, A., Petrescu, A., & Peixoto, A. (2008). Enhancing productivity: the role of management practices. https://doi.org/10.2139/ssrn.1309605

There is no doubt that management practices are linked to the productivity and performance of a company. However, research findings are mixed. This paper provides a multi-disciplinary review of the current evidence of such a relationship and offers s... Read More about Enhancing productivity: the role of management practices.

Humans: The missing link in manufacturing simulation? (2003)
Journal Article
Baines, T., Mason, S., Siebers, P.-O., & Ladbrook, J. (2004). Humans: The missing link in manufacturing simulation?. Simulation Modelling Practice and Theory, 12(7-8), 515-526. https://doi.org/10.1016/S1569-190X%2803%2900094-7

Computer based discrete event simulation (DES) is one of the most commonly used aids for the design of automotive manufacturing systems. However, DES tools represent machines in extensive detail, while only representing workers as simple resources. T... Read More about Humans: The missing link in manufacturing simulation?.