Outputs (14)

Using Semantic Technology to Model Persona for Adaptable Agents (2021)
Presentation / Conference Contribution
Nguyen, J., Farrenkopf, T., Guckert, M., Powers, S., & Urquhart, N. (2021, June). Using Semantic Technology to Model Persona for Adaptable Agents. Presented at ECMS 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.

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.

SICSA Demofest 2018 - Supporting user choice in optimisation. (2018)
Exhibition / Performance
Urquhart, N., Hutcheson, W., & Hoehl, S. SICSA Demofest 2018 - Supporting user choice in optimisation. Exhibited at Our Dynamic Earth, Edinburgh. 6 November 2018 - 6 November 2018

Many complex optimisation problems can have multiple solutions, techniques such as MAP –Elites will produce a large number of solutions from which the user should make the final choice. That final choice may be based on a number of soft criteria for... Read More about SICSA Demofest 2018 - Supporting user choice in optimisation..

What can we learn from simulating commuters? (2017)
Presentation / Conference Contribution
Urquhart, N. (2017, November). What can we learn from simulating commuters?. Presented at U!REKA

Commuting affects just about every member of the workforce in the UK, those who do not commute are affected by the congestion and pollution generated by such activities. There is increasing pressure on organisations to adopt practices and measures th... Read More about What can we learn from simulating commuters?.

A Unifying Software Framework for Vehicle Routing and Logistics (2017)
Presentation / Conference Contribution
Enenkel, J., Geyer, J., Keiner, J.-N., Nguyen, J., Steuler, J. L., & Urquhart, N. (2017, July). A Unifying Software Framework for Vehicle Routing and Logistics. Paper presented at Annual Workshop of the EURO Working Group on Vehicle Routing and Logistics optimization (VeRoLog), Amsterdam

A wide range of open source tools and real world data are available to support those working on vehicle routing and logistics optimisation. Despite such tools being available there is still a requirement for a unifying software API to allow researche... Read More about A Unifying Software Framework for Vehicle Routing and Logistics.

AGADE-TRAFFIC: Multi-Agent Simulations in Geographical Networks (2017)
Presentation / Conference Contribution
Rotärmel, S., Farrenkopf, T., Guckert, M., & Urquhart, N. (2017, June). AGADE-TRAFFIC: Multi-Agent Simulations in Geographical Networks. Presented at Practical Applications of Agents and Multi-Agent Systems, Porto, Portugal

AGADE-TRAFFIC is a tool for simulating traffic flow in networks. Traffic participants are modelled as NetLogo agents and are visualised in a graphical user interface. Geographic information is stored in a graph database and AGADE-TRAFFIC communicates... Read More about AGADE-TRAFFIC: Multi-Agent Simulations in Geographical Networks.

Demo paper: AGADE - Scalability of ontology based agent simulations (2016)
Presentation / Conference Contribution
Farrenkopf, T., Guckert, M., Urquhart, N. B., & Wells, S. (2016, June). Demo paper: AGADE - Scalability of ontology based agent simulations. Presented at 14th International Conference on Practical Applications of Agents and Multi-Agent Systems, Sevilla, Spain

Simulations of real world scenarios often require considerably
large numbers of agents. With increasing level of detail and resolution
in the underlying models machine limitations both in the aspect of
memory and computing power are reached. Even... Read More about Demo paper: AGADE - Scalability of ontology based agent simulations.

AGADE Using Personal Preferences and World Knowledge to Model Agent Behaviour (2015)
Presentation / Conference Contribution
Farrenkopf, T., Guckert, M., & Urquhart, N. (2015, June). AGADE Using Personal Preferences and World Knowledge to Model Agent Behaviour. Presented at International Conference on Practical Applications of Agents and Multi-Agent Systems PAAMS 2015, Salamanca, Spain

BDI agents provide a common well established approach for building multi-agent simulations. In this paper we demonstrate how semantic technologies can be used to model agent behaviour. Beliefs, desires and intentions are mapped flexibly to correspond... Read More about AGADE Using Personal Preferences and World Knowledge to Model Agent Behaviour.

Optimising the scheduling and planning of urban milk deliveries. (2015)
Presentation / Conference Contribution
Urquhart, N. B. (2015, April). Optimising the scheduling and planning of urban milk deliveries. Presented at European Conference on the Applications of Evolutionary Computation EvoApplications 2015, Copenhagen, Denmark

This paper investigates the optimisation of the delivery of dairy products to households in three urban areas. The requirement for the optimisation to be part of the existing business process has determined the approach taken. The solution is maintai... Read More about Optimising the scheduling and planning of urban milk deliveries..

Influence of topology and payload on CO2 optimised vehicle routing (2010)
Presentation / Conference Contribution
Scott, C., Urquhart, N. B., & Hart, E. (2010, April). Influence of topology and payload on CO2 optimised vehicle routing. Presented at European Conference on the Applications of Evolutionary Computation EvoApplications 2010: Applications of Evolutionary Computation, Istanbul

This paper investigates the influence of gradient and payload correction factors used within a CO2 emission model on the solutions to shortest path and travelling salesman problems when applied to freight delivery.
Problem instances based on real li... Read More about Influence of topology and payload on CO2 optimised vehicle routing.

Using an evolutionary algorithm to discover low CO2 tours within a Travelling Salesman Problem (2010)
Presentation / Conference Contribution
Urquhart, N. B., Scott, C., & Hart, E. (2010, April). Using an evolutionary algorithm to discover low CO2 tours within a Travelling Salesman Problem. Presented at Applications of evolutionary computation : EvoApplications 2010, Istanbul, Turkey

This paper examines the issues surrounding the effects of using vehicle emissions as the fitness criteria when solving routing problems using evolutionary techniques. The case-study examined is that of the Travelling Salesman Problem (TSP) based upon... Read More about Using an evolutionary algorithm to discover low CO2 tours within a Travelling Salesman Problem.

Application of CoSMoS parallel design patterns to a pedestrian simulation. (2009)
Presentation / Conference Contribution
Clayton, S., Urquhart, N. B., & Kerridge, J. (2009, September). Application of CoSMoS parallel design patterns to a pedestrian simulation. Presented at International Conference on Parallel Processing and Applied Mathematics PPAM 2009: Parallel Processing and Applied Mathematics

In this paper, we discuss the implementation of a simple pedestrian simulation that uses a multi agent based design pattern developed by the CoSMoS research group. Given the nature of Multi Agent Systems (MAS), parallel processing techniques are inev... Read More about Application of CoSMoS parallel design patterns to a pedestrian simulation..

CO2Y the intelligent green solution: minimising carbon emissions by maximising shared travel opportunity. (2009)
Presentation / Conference Contribution
Urquhart, N. B., McEwan, T., Holden, R., & Vogogias, T. (2009, May). CO2Y the intelligent green solution: minimising carbon emissions by maximising shared travel opportunity. Paper presented at Scottish Transport Applications Research Conference

It is in the interests of everybody that the environment is protected. In view of the recent leaps in environmental awareness it would seem timely and sensible, therefore, for people to pool vehicle resources to minimise the damaging impact of emissi... Read More about CO2Y the intelligent green solution: minimising carbon emissions by maximising shared travel opportunity..

Carbon-friendly travel plan construction using an evolutionary algorithm (2007)
Presentation / Conference Contribution
Urquhart, N. B., & Urquhart, N. B. (2007, July). Carbon-friendly travel plan construction using an evolutionary algorithm. Presented at Proceedings of the 9th annual conference on Genetic and evolutionary computation - GECCO '07

This paper discusses the use of an evolutionary algorithm to design workplace travel plans, to promote car sharing and reduce carbon emissions from single-occupancy motor vehicles.