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Position Paper: The Usefulness of Data-driven, Intelligent Agent-Based Modelling for Transport Infrastructure Management (2018)
Conference Proceeding
Faboya, O., Patrocinio Figueredo, G., Ryan, B., & Siebers, P. (2018). Position Paper: The Usefulness of Data-driven, Intelligent Agent-Based Modelling for Transport Infrastructure Management. In The 21st IEEE International Conference on Intelligent Transportation Systemsdoi:10.1109/ITSC.2018.8569946

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... Read More about Position Paper: The Usefulness of Data-driven, Intelligent Agent-Based Modelling for Transport Infrastructure Management.

An Artificial Intelligence Method for Comfort Level Prediction (2018)
Conference Proceeding
Masoud Sajjadian, S., Jafari, M., & Siebers, P. (2018). An Artificial Intelligence Method for Comfort Level Prediction. In KES-SEB 2018: Sustainability in Energy and Buildings 2018, 169-177. doi:10.1007/978-3-030-04293-6_17

With the rapid demand for the energy efficient consumption in buildings, bridging the gap between predicted and measured performance is essential. However, recent studies show that there is a significant mismatch between predicted and actual building... Read More about An Artificial Intelligence Method for Comfort Level Prediction.

An agent based modelling approach for the office space allocation problem (2018)
Conference Proceeding
Dediu, A., Landa-Silva, D., & Siebers, P. (2018). An agent based modelling approach for the office space allocation problem

This paper describes an agent based simulation model to create solutions for the office space allocation (OSA) problem. OSA is a combinatorial optimization problem concerned with the allocation of available office space to a set of entities such as p... Read More about An agent based modelling approach for the office space allocation problem.

A smart phone based multi-floor indoor positioning system for occupancy detection (2018)
Conference Proceeding
Mashuk, M. S., Pinchin, J., Siebers, P., & Moore, T. (in press). A smart phone based multi-floor indoor positioning system for occupancy detection

At present there is a lot of research being done simulating building environment with artificial agents and predicting energy usage and other building performance related factors that helps to promote understanding of more sustainable buildings. To u... Read More about A smart phone based multi-floor indoor positioning system for occupancy detection.

Proposal of a design pattern for embedding the concept of social forces in human centric simulation models (2018)
Conference Proceeding
Siebers, P., Deng, Y., Thaler, J., Schnädelbach, H., & Özcan, E. (2018). Proposal of a design pattern for embedding the concept of social forces in human centric simulation models. In A. Anagnostou, M. Fakhimi, R. Meskarian, & D. Robertson (Eds.), Proceedings of the Operational Research Society Simulation Workshop 2018 (SW18), 88-97

There exist many papers that explain the social force model and its application for modelling pedestrian dynamics. None of these papers, however, explains how to implement the social force model in order to use it for systems simulation studies. In t... Read More about Proposal of a design pattern for embedding the concept of social forces in human centric simulation models.

The Art of Iterating: Update-Strategies in Agent-Based Simulation (2017)
Conference Proceeding
Thaler, J., & Siebers, P. (2017). The Art of Iterating: Update-Strategies in Agent-Based Simulation

When developing a model for an Agent-Based Simulation (ABS) it is very important to select the updatestrategy which reflects the semantics of the model as simulation results can vary vastly across different update-strategies. This awareness, we claim... Read More about The Art of Iterating: Update-Strategies in Agent-Based Simulation.

Multi-agent stochastic simulation of occupants for building simulation (2017)
Conference Proceeding
Chapman, J., Siebers, P., & Robinson, D. (2017). Multi-agent stochastic simulation of occupants for building simulation

This paper introduces a new general platform for the simulation of occupants' presence and behaviours. Called No-MASS (Nottingham Multi-Agent Stochastic Simulation platform) the platform takes a selection of well validated stochastic models to genera... Read More about Multi-agent stochastic simulation of occupants for building simulation.

Using simulation to assist recruitment in seasonally dependant contact centers (2015)
Conference Proceeding
May, L., & Siebers, P. (2015). Using simulation to assist recruitment in seasonally dependant contact centers. In 2015 Winter Simulation Conference (WSC)doi:10.1109/WSC.2015.7408278

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... Read More about Using simulation to assist recruitment in seasonally dependant contact centers.

Modelling the Effect of Individual Differences in Punishment Sensitivity on Behaviour in a Public Goods Game (2015)
Conference Proceeding
Manh Vu, T., Siebers, P., Skatova, A., & Turocy, T. (2015). Modelling the Effect of Individual Differences in Punishment Sensitivity on Behaviour in a Public Goods Game. In Proceedings of the International Conference on Modeling and Applied Simulation 2015

Previous research on social dilemmas demonstrated that various forms of punishment for free-riding can increase contribution levels in public goods games. The way individual group members react to the possibility of punishment can be also affected by... Read More about Modelling the Effect of Individual Differences in Punishment Sensitivity on Behaviour in a Public Goods Game.

Modelling and simulation of rail passengers to evaluate methods to reduce dwell times (2015)
Conference Proceeding
Perkins, A., Ryan, B., & Siebers, P. (2015). Modelling and simulation of rail passengers to evaluate methods to reduce dwell times

The paper outlines a feasibility study using modelling and simulation to reduce dwell times and increase rail network capacity. We use agent based modelling, where passengers are treated as a separate entities, basing their movements on rules from th... Read More about Modelling and simulation of rail passengers to evaluate methods to reduce dwell times.

An investigation on test driven discrete event simulation (2014)
Conference Proceeding
Asta, S., Özcan, E., & Peer-Olaf, S. (2014). An investigation on test driven discrete event simulation

This paper deals with the application of modern software development tools on simulation development. Recently, Agile Software Development (ASD) methods enjoy an increasing popularity. eXtreme Programming (XP) techniques, one of the techniques which... Read More about An investigation on test driven discrete event simulation.

Modelling office energy consumption: an agent based approach (2010)
Conference Proceeding
Zhang, T., Siebers, P., & Aickelin, U. (2010). Modelling office energy consumption: an agent based approach

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, based on a ca... Read More about Modelling office energy consumption: an agent based approach.

Investigating output accuracy for a discrete event simulation model and an agent based simulation model (2009)
Conference Proceeding
Abdul Majid, M., Aickelin, U., & Siebers, P. (2009). Investigating output accuracy for a discrete event simulation model and an agent based simulation model

In this paper, we investigate output accuracy for a Discrete Event Simulation (DES) model and Agent Based Simulation (ABS) model. The purpose of this investigation is to find out which of these simulation techniques is the best one for modelling hum... Read More about Investigating output accuracy for a discrete event simulation model and an agent based simulation model.

An agent-based simulation of in-store customer experiences (2008)
Conference Proceeding
Siebers, P., Aickelin, U., Celia, H., & Clegg, C. (2008). An agent-based simulation of in-store customer experiences

Agent-based modelling and simulation offers a new and exciting way of understanding the world of work. In this paper we describe the development of an agent-based simulation model, designed to help to understand the relationship between human resourc... Read More about An agent-based simulation of in-store customer experiences.

Using Intelligent Agents to Understand Management Practices and Retail Productivity
Conference Proceeding
Siebers, P., Aickelin, U., Celia, H., & Clegg, C. Using Intelligent Agents to Understand Management Practices and Retail Productivity

Intelligent agents offer a new and exciting way of understanding the world of work. In this paper we apply agent-based modeling and simulation to investigate a set of problems in a retail context. Specifically, we are working to understand the relati... Read More about Using Intelligent Agents to Understand Management Practices and Retail Productivity.

Modelling and analysing cargo screening processes: a project outline
Conference Proceeding
Siebers, P., Aickelin, U., Menachof, D., & Sherman, G. Modelling and analysing cargo screening processes: a project outline

The efficiency of current cargo screening processes at sea and air ports is unknown as no benchmarks exists against which they could be measured. Some manufacturer benchmarks exist for individual sensors but we have not found any benchmarks that tak... Read More about Modelling and analysing cargo screening processes: a project outline.

Modelling reactive and proactive behaviour in simulation
Conference Proceeding
Majid, M. A., Siebers, P., & Aickelin, U. Modelling reactive and proactive behaviour in simulation

This research investigated the simulation model behaviour of a traditional and combined discrete event as well as agent based simulation models when modelling human reactive and proactive behaviour in human centric complex systems. A departmental st... Read More about Modelling reactive and proactive behaviour in simulation.

Development of a cargo screening process simulator: a first approach
Conference Proceeding
Siebers, P., Sherman, G., & Aickelin, U. Development of a cargo screening process simulator: a first approach

The efficiency of current cargo screening processes at sea and air ports is largely unknown as few benchmarks exists against which they could be measured. Some manufacturers provide benchmarks for individual sensors but we found no benchmarks that ta... Read More about Development of a cargo screening process simulator: a first approach.

A three-dimensional model of residential energy consumer archetypes for local energy policy design in the UK
Conference Proceeding
Zhang, T., Siebers, P., & Aickelin, U. A three-dimensional model of residential energy consumer archetypes for local energy policy design in the UK

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.

Modelling the effects of user learning on forced innovation diffusion
Conference Proceeding
Zhang, T., Siebers, P., & Aickelin, U. Modelling the effects of user learning on forced innovation diffusion

Technology adoption theories assume that users’ acceptance of an innovative technology is on a voluntary basis. However, sometimes users are force to accept an innovation. In this case users have to learn what it is useful for and how to use it. This... Read More about Modelling the effects of user learning on forced innovation diffusion.