All Outputs (14)

Extending AGADE Traffic To Simulate Auctions In Shared Mobility Services (2023)
Conference Proceeding
Nguyen, J., Powers, S., Urquhart, N., Eckerle, D., Farrenkopf, T., & Guckert, M. (2023). Extending AGADE Traffic To Simulate Auctions In Shared Mobility Services. In ECMS2023 Proceedings

With the number of individual vehicles meeting the capacity limit of urban road infrastructure, the deployment of new mobility services may help to achieve more efficient use of available resources and prevent critical overload. It may be observed th... Read More about Extending AGADE Traffic To Simulate Auctions In Shared Mobility Services.

Multi-Agent Modelling Notation (MAMN): A multi-layered graphical modelling notation for agent-based simulations (2022)
Conference Proceeding
Nguyen, J., Powers, S., Urquhart, N., Farrenkopf, T., & Guckert, M. (2022). Multi-Agent Modelling Notation (MAMN): A multi-layered graphical modelling notation for agent-based simulations. In PRIMA 2022: Principles and Practice of Multi-Agent Systems - 24th International Conference, Valencia, Spain, November 16–18, 2022, Proceedings (640-649). https://doi.org/10.1007/978-3-031-21203-1_42

Cause-effect graphs have been applied in non agent-based simulations, where they are used to model chained causal relations between input parameters and system behaviour measured by appropriate indicators. This can be useful for the analysis and inte... Read More about Multi-Agent Modelling Notation (MAMN): A multi-layered graphical modelling notation for agent-based simulations.

Using Semantic Technology to Model Persona for Adaptable Agents (2021)
Conference Proceeding
Nguyen, J., Farrenkopf, T., Guckert, M., Powers, S., & Urquhart, N. (2021). Using Semantic Technology to Model Persona for Adaptable Agents. In ECMS 2021, 35th Proceedings (172-178). https://doi.org/10.7148/2021

In state of the art research a growing interest in the application of agent models for the simulation of road traffic can be observed. Software agents are particularly suitable for the representation of travellers and their goal-oriented behaviour. A... Read More about Using Semantic Technology to Model Persona for Adaptable Agents.

Using AGADE Traffic to Analyse Purpose-driven Travel Behaviour (2021)
Conference Proceeding
Nguyen, J., Powers, S. T., Urquhart, N., Farrenkopf, T., & Guckert, M. (2021). Using AGADE Traffic to Analyse Purpose-driven Travel Behaviour. In Advances in Practical Applications of Agents, Multi-Agent Systems, and Social Good: The PAAMS Collection 19th International Conference, PAAMS 2021, Salamanca, Spain, October 6–8, 2021, Proceedings (363-366). https://doi.org/10.1007/978-3-030-85739-4_33

AGADE Traffic is an agent-based traffic simulator that can be used to analyse purpose-driven travel behaviour of individuals that leads to the emergence of systemic patterns in mobility. The simulator uses semantic technology to model knowledge of in... Read More about Using AGADE Traffic to Analyse Purpose-driven Travel Behaviour.

Modelling Individual Preferences to Study and Predict Effects of Traffic Policies (2021)
Conference Proceeding
Nguyen, J., Powers, S., Urquhart, N., Farrenkopf, T., & Guckert, M. (2021). Modelling Individual Preferences to Study and Predict Effects of Traffic Policies. In Advances in Practical Applications of Agents, Multi-Agent Systems, and Social Good. The PAAMS Collection 19th International Conference, PAAMS 2021, Salamanca, Spain, October 6–8, 2021, Proceedings (163-175). https://doi.org/10.1007/978-3-030-85739-4_14

Traffic can be viewed as a complex adaptive system in which systemic patterns arise as emergent phenomena. Global behaviour is a result of behavioural patterns of a large set of individual travellers. However, available traffic simulation models lack... Read More about Modelling Individual Preferences to Study and Predict Effects of Traffic Policies.

A mechanism to promote social behaviour in household load balancing (2020)
Conference Proceeding
Brooks, N. A., Powers, S. T., & Borg, J. M. (2020). A mechanism to promote social behaviour in household load balancing. In Proceedings of the Artificial Life Conference 2020 (ALIFE 2020) (95-103). https://doi.org/10.1162/isal_a_00290

Reducing the peak energy consumption of households is essential for the effective use of renewable energy sources, in order to ensure that as much household demand as possible can be met by renewable sources. This entails spreading out the use of hig... Read More about A mechanism to promote social behaviour in household load balancing.

Being a leader or being the leader: The evolution of institutionalised hierarchy (2019)
Conference Proceeding
Perret, C., Hart, E., & Powers, S. T. (2019). Being a leader or being the leader: The evolution of institutionalised hierarchy. In ALIFE 2019: The 2019 Conference on Artificial Life (171-178). https://doi.org/10.1162/isal_a_00158

Human social hierarchy has the unique characteristic of existing in two forms. Firstly, as an informal hierarchy where leaders and followers are implicitly defined by their personal characteristics, and secondly, as an institutional hierarchy where l... Read More about Being a leader or being the leader: The evolution of institutionalised hierarchy.

Increasing Trust in Meta-Heuristics by Using MAP-Elites (2019)
Conference Proceeding
Urquhart, N., Guckert, M., & Powers, S. (2019). Increasing Trust in Meta-Heuristics by Using MAP-Elites. In GECCO '19 Companion (1345-1348). https://doi.org/10.1145/3319619.3326816

Intelligent AI systems using approaches containing emergent elements often encounter acceptance problems. Results do not get sufficiently explained and the procedure itself can not be fully retraced because the flow of control is dependent on stochas... Read More about Increasing Trust in Meta-Heuristics by Using MAP-Elites.

An Agent Based Technique for Improving Multi-Stakeholder Optimisation Problems (2019)
Conference Proceeding
Urquhart, N., & Powers, S. T. (2019). An Agent Based Technique for Improving Multi-Stakeholder Optimisation Problems. In PAAMS 2019: Advances in Practical Applications of Survivable Agents and Multi-Agent Systems: The PAAMS Collection: vol 1 – Main track and Demos proceedings (285-289). https://doi.org/10.1007/978-3-030-24209-1_32

We present an agent based framework for improving multi-stakeholder optimisation problems, which we define as optimisation problems where the solution is utilised by a number of stakeholders who have their own local preferences. We explore our ideas... Read More about An Agent Based Technique for Improving Multi-Stakeholder Optimisation Problems.

Finding Fair Negotiation Algorithms to Reduce Peak Electricity Consumption in Micro Grids (2019)
Conference Proceeding
Powers, S. T., Meanwell, O., & Cai, Z. (2019). Finding Fair Negotiation Algorithms to Reduce Peak Electricity Consumption in Micro Grids. In PAAMS 2019: Advances in Practical Applications of Survivable Agents and Multi-Agent Systems: The PAAMS Collection (269-272). https://doi.org/10.1007/978-3-030-24209-1_28

Reducing peak electricity consumption is important to maximise use of renewable energy sources, and reduce the total amount of capacity required on a grid. Most approaches use a centralised optimisation algorithm run by a utility company. Here we dev... Read More about Finding Fair Negotiation Algorithms to Reduce Peak Electricity Consumption in Micro Grids.

Can justice be fair when it is blind? How social network structures can promote or prevent the evolution of despotism (2018)
Conference Proceeding
Perret, C., Powers, S. T., Pitt, J., & Hart, E. (2018). Can justice be fair when it is blind? How social network structures can promote or prevent the evolution of despotism. In T. Ikegami, N. Virgo, O. Witkowski, M. Oka, R. Suzuki, & H. Iizuka (Eds.), Proceedings of the 2018 Conference on Artificial Life. https://doi.org/10.1162/isal_a_00058

Hierarchy is an efficient way for a group to organize, but often goes along with inequality that benefits leaders. To control despotic behaviour, followers can assess leaders' decisions by aggregating their own and their neighbours' experience, and i... Read More about Can justice be fair when it is blind? How social network structures can promote or prevent the evolution of despotism.

Co-creating Enduring Institutions for Socio-Technical Systems: The Complementarity of Content-based and Value-based Modelling Approaches (2018)
Conference Proceeding
Lewis, P. R., Powers, S. T., & Ekárt, A. (2018). Co-creating Enduring Institutions for Socio-Technical Systems: The Complementarity of Content-based and Value-based Modelling Approaches. In N. Virgo, T. Ikegami, O. Witkowski, M. Oka, R. Suzuki, & H. Iizuka (Eds.), Proceedings of the 2018 Conference on Artificial Life. https://doi.org/10.1162/isal_a_00026

No abstract available.

Emergence of hierarchy from the evolution of individual influence in an agent-based model (2017)
Conference Proceeding
Perret, C., Powers, S. T., & Hart, E. (2017). Emergence of hierarchy from the evolution of individual influence in an agent-based model. In Proceedings of the 14th European Conference on Artificial Life 2017 (348-355)

The sudden transition from egalitarian groups to hierarchical societies that occurred with the origin of agriculture is one of the most striking features of the evolution of human societies. Hierarchy is reflected by the evolution of an asymmetrical... Read More about Emergence of hierarchy from the evolution of individual influence in an agent-based model.

The institutional approach for modeling the evolution of human societies (2016)
Conference Proceeding
Powers, S. (2016). The institutional approach for modeling the evolution of human societies. In Proceedings of the Artificial Life Conference 2016. https://doi.org/10.7551/978-0-262-33936-0-ch011

Artificial Life is concerned with understanding the dynamics of human societies. A defining feature of any human society is its institutions. However, defining exactly what an institution is has proven difficult, with authors often talking past each... Read More about The institutional approach for modeling the evolution of human societies.