Evolving Staff Training Schedules using an Extensible Fitness Function and a Domain Specific Language
Conference Proceeding
Urquhart, N., & Hunter, K. (2024)
Evolving Staff Training Schedules using an Extensible Fitness Function and a Domain Specific Language. In S. Smith, J. Correia, & C. Cintrano (Eds.), Applications of Evolutionary Computation (83–97). https://doi.org/10.1007/978-3-031-56852-7_6
When using a meta-heuristic based optimiser in some industrial scenarios, there may be a need to amend the objective function as time progresses to encompass constraints that ...
The stuff we swim in: Regulation alone will not lead to justifiable trust in AI
Journal Article
Powers, S. T., Linnyk, O., Guckert, M., Hannig, J., Pitt, J., Urquhart, N., …Weber, T. (2023)
The stuff we swim in: Regulation alone will not lead to justifiable trust in AI. IEEE technology & society magazine, 42(4), 95-106. https://doi.org/10.1109/MTS.2023.3341463
Information technology is used ubiquitously and has become an integral part of everyday life. With the ever increasing pervasiveness and persuasiveness of Artificial Intellige...
Nature Inspired Optimisation for Delivery Problems: From Theory to the Real World
Book
Urquhart, N. (2022)
Nature Inspired Optimisation for Delivery Problems: From Theory to the Real World. Cham: Springer. https://doi.org/10.1007/978-3-030-98108-2
This book explains classic routing and transportation problems and solutions, before offering insights based on successful real-world solutions. The chapters in Part I introdu...
An Empirical Evaluation of a Novel Domain-Specific Language -- Modelling Vehicle Routing Problems with Athos
Journal Article
Hoffmann, B., Urquhart, N., Chalmers, K., & Guckert, M. (2022)
An Empirical Evaluation of a Novel Domain-Specific Language -- Modelling Vehicle Routing Problems with Athos. Empirical Software Engineering, 27, Article 180. https://doi.org/10.1007/s10664-022-10210-w
Domain-specific languages (DSLs) are a popular approach among software engineers who demand for a tailored development interface. A DSL-based approach allows to encapsulate th...
Multi-Agent Modelling Notation (MAMN): A multi-layered graphical modelling notation for agent-based simulations
Conference Proceeding
Nguyen, J., Powers, S., Urquhart, N., Farrenkopf, T., & Guckert, M. (in press)
Multi-Agent Modelling Notation (MAMN): A multi-layered graphical modelling notation for agent-based simulations.
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 measu...
Modelling the Impact of Individual Preferences on Traffic Policies
Journal Article
Nguyen, J., Powers, S., Urquhart, N., Farrenkopf, T., & Guckert, M. (2022)
Modelling the Impact of Individual Preferences on Traffic Policies. SN Computer Science, 3(5), Article 365. https://doi.org/10.1007/s42979-022-01253-3
Urban traffic is a system always prone to overload, often approaching breakdown during rush hour times. Well adjusted modifications of traffic policies, with appropriate inter...
Using Semantic Technology to Model Persona for Adaptable Agents
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 suitabl...
An overview of agent-based traffic simulators
Journal Article
Nguyen, J., Powers, S. T., Urquhart, N., Farrenkopf, T., & Guckert, M. (2021)
An overview of agent-based traffic simulators. Transportation Research Interdisciplinary Perspectives, 12, Article 100486. https://doi.org/10.1016/j.trip.2021.100486
Individual traffic significantly contributes to climate change and environmental degradation. Therefore, innovation in sustainable mobility is gaining importance as it helps t...
Modelling Individual Preferences to Study and Predict Effects of Traffic Policies
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 ...
Using AGADE Traffic to Analyse Purpose-driven Travel Behaviour
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 i...