All Outputs (15)

The British Rail Total Operations Processing System And the Birth of Telematics (2024)
Journal Article
Urquhart, N. (online). The British Rail Total Operations Processing System And the Birth of Telematics. IEEE Annals of the History of Computing, https://doi.org/10.1109/mahc.2024.3393611

Contemporary mobility is almost universally supported by telecommunications networks and computing facilities known collectively as telematics. This has allowed closer integration of freight logistics into supply chains, and supported the growth of... Read More about The British Rail Total Operations Processing System And the Birth of Telematics.

The stuff we swim in: Regulation alone will not lead to justifiable trust in AI (2023)
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/MT

Information technology is used ubiquitously and has become an integral part of everyday life. With the ever increasing pervasiveness and persuasiveness of Artificial Intelligence (AI), the function of socio-technical systems changes and must be consi... Read More about The stuff we swim in: Regulation alone will not lead to justifiable trust in AI.

An empirical evaluation of a novel domain-specific language – modelling vehicle routing problems with Athos (2022)
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(7), Article 180. https://doi.org/10.1007/s106

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 the intricacies of the target platform in transformations that turn DSL model... Read More about An empirical evaluation of a novel domain-specific language – modelling vehicle routing problems with Athos.

Modelling the Impact of Individual Preferences on Traffic Policies (2022)
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 interventions, promise potential improvements by inducing change in both individ... Read More about Modelling the Impact of Individual Preferences on Traffic Policies.

An overview of agent-based traffic simulators (2021)
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 to reduce environmental pollution. However, effects of new ideas in mobility... Read More about An overview of agent-based traffic simulators.

A Conceptual Framework for Establishing Trust in Real World Intelligent Systems (2021)
Journal Article
Guckert, M., Gumpfer, N., Hannig, J., Keller, T., & Urquhart, N. (2021). A Conceptual Framework for Establishing Trust in Real World Intelligent Systems. Cognitive Systems Research, 68, 143-155. https://doi.org/10.1016/j.cogsys.2021.04.001

Intelligent information systems that contain emergent elements often encounter trust problems because results do not get sufficiently explained and the procedure itself can not be fully retraced. This is caused by a control flow depending either on s... Read More about A Conceptual Framework for Establishing Trust in Real World Intelligent Systems.

Using MAP-Elites to support policy making around Workforce Scheduling and Routing (2020)
Journal Article
Urquhart, N., Hart, E., & Hutcheson, W. (2020). Using MAP-Elites to support policy making around Workforce Scheduling and Routing. Automatisierungstechnik, 68(2), https://doi.org/10.1515/auto-2019-0107

English abstract: Algorithms such as MAP-Elites provide a means of allowing users to explore a solution space by returning an archive of high-performing solutions. Such an archive, can allow the user an overview of the solution space which may be use... Read More about Using MAP-Elites to support policy making around Workforce Scheduling and Routing.

Simulating the actions of commuters using a multi-agent system (2019)
Journal Article
Urquhart, N., Powers, S., Wall, Z., Fonzone, A., Ge, J., & Polhill, G. (2019). Simulating the actions of commuters using a multi-agent system. Journal of Artificial Societies and Social Simulation, 22(2), https://doi.org/10.18564/jasss.4007

The activity of commuting to and from a place of work affects not only those travelling but also wider society through their contribution to congestion and pollution. It is desirable to have a means of simulating commuting in order to allow organisat... Read More about Simulating the actions of commuters using a multi-agent system.

Trusting Intelligent Machines: Deepening Trust Within Socio-Technical Systems (2018)
Journal Article
Andras, P., Esterle, L., Guckert, M., Anh Han, T., Lewis, P. R., Milanovic, K., Payne, T., Perret, C., Pitt, J., Powers, S. T., Urquhart, N., & Wells, S. (2018). Trusting Intelligent Machines: Deepening Trust Within Socio-Technical Systems. IEEE technolog

Intelligent machines have reached capabilities that go beyond a level that a human being can fully comprehend without sufficiently detailed understanding of the underlying mechanisms. The choice of moves in the game Go (generated by Deep Mind?s Alpha... Read More about Trusting Intelligent Machines: Deepening Trust Within Socio-Technical Systems.

Ontology Based Business Simulations (2016)
Journal Article
Farrenkopf, T., Guckert, M., Urquhart, N., & Wells, S. (2016). Ontology Based Business Simulations. Journal of Artificial Societies and Social Simulation, 19(4), https://doi.org/10.18564/jasss.3266

Within business games there is a need to provide realistic feedback for decisions made, if such business games are to continue to remain relevant in increasingly complex business environments. We address this problem by using soware agents to simula... Read More about Ontology Based Business Simulations.

Techniques for Auditing the ICT Carbon Footprint of an Organisation (2014)
Journal Article
Mouchet, C., Urquhart, N., & Kemmer, R. (2014). Techniques for Auditing the ICT Carbon Footprint of an Organisation. International Journal of Green Computing, 5(1), 44-61. https://doi.org/10.4018/ijgc.2014010104

This article has presents an extensive survey of the state of the art in Green IT/S. The findings of the survey suggest that there is scope for a reliable carbon footprint auditing tool for organisational ICT usage. A prototype auditing tool is devel... Read More about Techniques for Auditing the ICT Carbon Footprint of an Organisation.

State assignment for sequential circuits using multi-objective genetic algorithm (2011)
Journal Article
Al-Jassani, B. A., Urquhart, N. B., & Almaini, A. E. A. (2011). State assignment for sequential circuits using multi-objective genetic algorithm. IET Computers and Digital Techniques, 5, 296-305. https://doi.org/10.1049/iet-cdt.2010.0045

In this study, a new approach using a multi-objective genetic algorithm (MOGA) is proposed to determine the optimal state assignment with less area and power dissipations for completely and incompletely specified sequential circuits. The goal is to f... Read More about State assignment for sequential circuits using multi-objective genetic algorithm.

Manipulation and optimization techniques for Boolean logic (2010)
Journal Article
Al-Jassani, B. A., Urquhart, N. B., & Almaini, A. E. A. (2010). Manipulation and optimization techniques for Boolean logic. IET computers & digital techniques / IET, 4, 227-239. https://doi.org/10.1049/iet-cdt.2009.0007

In this study, new techniques and algorithms are presented for the derivation and optimisation of mixed polarity Reed Muller (MPRM) and mixed polarity dual Reed Muller (MPDRM) functions. The first algorithm is used for bidirectional conversion betwee... Read More about Manipulation and optimization techniques for Boolean logic.

Optimization of MPRM functions using tabular techniques and genetic algorithms. (2008)
Journal Article
Al-Jassani, B. A., Urquhart, N. B., & Almaini, A. E. A. (2008). Optimization of MPRM functions using tabular techniques and genetic algorithms. The Mediterranean journal of electronics and communications, 4, 115-125

This paper presents new techniques and algorithms to compute and optimize Mixed Polarity Reed Muller logic functions (MPRM) using Tabular techniques and Genetic Algorithms (GA). The first algorithm is used for bidirectional conversion between Fixed P... Read More about Optimization of MPRM functions using tabular techniques and genetic algorithms..

Agent motion planning with GAs enhanced by memory models. (2001)
Journal Article
Bot, M., Urquhart, N. B., & Chisholm, K. (2001). Agent motion planning with GAs enhanced by memory models. Genetic and Evolutionary Computation Conference, 227-234

The Tartarus problem may be considered a benchmark problem in the field of robotics. A robotic agent is required to move a number of blocks to the edge of an environment. The location of the blocks and position of the robot is unknown initially. The... Read More about Agent motion planning with GAs enhanced by memory models..