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All Outputs (38)

First Steps Towards RAT: A Protocol for Documenting Data Use in the Agent-Based Modeling Process (2021)
Conference Proceeding
Siebers, P., Achter, S., Palaretti Bernardo, C., Borit, M., & Chattoe-Brown, E. (2021). First Steps Towards RAT: A Protocol for Documenting Data Use in the Agent-Based Modeling Process. In P. Ahrweiler, & M. Neumann (Eds.), Advances in Social Simulation: Proceedings of the 15th Social Simulation Conference: 23-27 September 2019 (257-261). https://doi.org/10.1007/978-3-030-61503-1_24

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 prese... Read More about First Steps Towards RAT: A Protocol for Documenting Data Use in the Agent-Based Modeling Process.

Untangling multi-stakeholder perspectives in digital mental healthcare (2019)
Conference Proceeding
Vallejos, E. P., Nilsson, T., Siebers, O., Siebert, P., Craven, M., & Fuentes, C. (2019). Untangling multi-stakeholder perspectives in digital mental healthcare

Digital mental healthcare constitutes a complex area for development of novel technological solutions. Designers are frequently forced to deal with requirements posed by a range of different stakeholders with particular needs, goals and interests whi... Read More about Untangling multi-stakeholder perspectives in digital mental healthcare.

Position Paper: The Usefulness of Data-driven, Intelligent Agent-Based Modelling for Transport Infrastructure Management (2018)
Conference Proceeding
Faboya, O., Figueredo, G. P., 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 Systems (144-149). https://doi.org/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. M., Jafari, M., & Siebers, P. (2019). An Artificial Intelligence Method for Comfort Level Prediction. In KES-SEB 2018: Sustainability in Energy and Buildings 2018 - Proceedings of the 10th International Conference in Sustainability on Energy and Buildings (169-177). https://doi.org/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.

How do travellers decide: a stochastic modelling approach to determine decision factor significance (2018)
Conference Proceeding
Olusola, F. T., Siebers, O., Ryan, B., & Figueredo, G. P. (2018). How do travellers decide: a stochastic modelling approach to determine decision factor significance

Many factors are involved in travellers' mode choice decision processes. Such factors include individuals' physical, cognitive, and emotional abilities, which play a significant role in travellers' attitude and mode usage patterns. Understanding how... Read More about How do travellers decide: a stochastic modelling approach to determine decision factor significance.

Pure Functional Epidemics: An Agent-Based Approach (2018)
Conference Proceeding
Thaler, J., Altenkirch, T., & Siebers, P. (2018). Pure Functional Epidemics: An Agent-Based Approach. In IFL'18 Proceedings of 30th Symposium on Implementation and Application of Functional Languages, 5-7 September 2018, Lowell, Mass., USA (1-12). https://doi.org/10.1145/3310232.3310372

Agent-Based Simulation (ABS) is a methodology in which a system is simulated in a bottom-up approach by modelling the micro interactions of its constituting parts, called agents, out of which the global system behaviour emerges. So far mainly object-... Read More about Pure Functional Epidemics: An Agent-Based Approach.

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 Reactive and Proactive Behaviour in Simulation: A Case Study in a University Organisation (2011)
Conference Proceeding
Abdul Majid, M., Siebers, P., & Aickelin, U. (2011). Modelling Reactive and Proactive Behaviour in Simulation: A Case Study in a University Organisation. https://doi.org/10.2139/ssrn.2829269

Simulation is a well established what-if scenario analysis tool in Operational Research (OR). While traditionally Discrete Event Simulation (DES) and System Dynamics Simulation (SDS) are the predominant simulation techniques in OR, a new simulation t... Read More about Modelling Reactive and Proactive Behaviour in Simulation: A Case Study in a University Organisation.

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.

Towards modelling cost and risks of infrequent events in the cargo screening process (2010)
Conference Proceeding
Sherman, G., Menachof, D., Aickelin, U., & Siebers, P. (2010). Towards modelling cost and risks of infrequent events in the cargo screening process. In Proceedings of the Operational Research Society Simulation Workshop 2010 (SW10)

We introduce a simulation model of the port of Calais with a focus on the operation of immigration controls. Our aim is to compare the cost and benefits of different screening policies. Methodologically, we are trying to understand the limits of disc... Read More about Towards modelling cost and risks of infrequent events in the cargo screening process.