Browsing by Author "Duggan, Jim"
Now showing items 1-20 of 33
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Advances in the estimation of the reproduction number from compartmental models using contemporary Monte Carlo methods
Andrade, Jair (NUI Galway, 2024-03-08)The reproduction number represents the average number of secondary cases generated by a primary case. If the population is completely susceptible, it is referred to as the basic reproduction number (<0) and theoretically ... -
The application of machine learning to optimise live migration in cloud data centres
Duggan, Martin (NUI Galway, 2019-08-06)Cloud computing providers utilise large-scale data centres to provide computing resource to users’ worldwide. However, an ongoing challenge facing cloud providers is to ensure that the required resource is available to ... -
Applying informal health reports and search queries for public health monitoring: An evaluation of characteristics, potentials, and requirements of online self-reporting, discussions, and search behaviour
Marques Barros, Joana Carina (NUI Galway, 2021-01-13)The introduction of digital data sources has positively impacted public health surveillance and has paved the way for novel approaches. Internet-based sources provide large volumes of data which can be analysed in near ... -
Applying reinforcement learning towards automating resource allocation and application scalability in the cloud
Duggan, Jim; Howley, Enda; Barrett, Enda (Wiley, 2012-05-30)Public Infrastructure as a Service (IaaS) clouds such as Amazon, GoGrid and Rackspace deliver computational resources by means of virtualisation technologies. These technologies allow multiple independent virtual machines ... -
The benefits of system dynamics simulation for sustainability education
Green, Caroline; Molloy, Owen; Duggan, Jim; Brennan, Caroline (System Dynamics Society, 2021-07-26)Education for Sustainable Development (ESD) is vital to the success of the United Nation¿s Sustainable Development Goals, yet it has so far proved difficult to implement. One reason for this is the systemic understanding ... -
Co-evolutionary analysis: a policy exploration method for system dynamics models
Hongliang, Liu; Howley, Enda; Duggan, Jim (System Dynamics Society / Wiley, 2012-10-22)In system dynamics (SD), complex nonlinear systems can generate a wide range of possible behaviours that frequently require search and optimization algorithms in order to explore optimal policies. Within the SD literature, ... -
A Comparison of Petri Net and System Dynamics Approaches for Modelling Dynamic Feedback Systems
Duggan, Jim (2006)Petri nets are a valuable tool that can be used to simulate workflow systems. They are based on a state-transition approach, and in common with discrete event simulation, events can be scheduled to fire at different time ... -
Consulting with citizens in the design of wellbeing measures and policies: lessons from a systems science application
Hogan, Michael; Duggan, Jim; Leyden, Kevin M.; Domegan, Christine; Mc Hugh, Patricia; Hogan, Victoria; Harney, Owen; Groarke, Jenny; Noone, Chris; Groarke, Ann Marie (Springer Verlag, 2014-09-20)Internationally, there is increasing interest in, and analysis of, human wellbeing and the economic, social, environmental, and psychological factors that contribute to it. Current thinking suggests that to measure social ... -
Disease mentions in airport and hospital geolocations expose dominance of news events for disease concerns
Barros, Joana M.; Duggan, Jim; Rebholz-Schuhmann, Dietrich (Springer Nature, 2018-06-12)Background: In recent years, Twitter has been applied to monitor diseases through its facility to monitor users' comments and concerns in real-time. The analysis of tweets for disease mentions should reflect not only user ... -
Effect of spatial audio and movement control on user performance, awareness, and preference
Broderick, James (NUI Galway, 2021-09-27)More people are engaging with virtual environments recreationally and professionally. Game engines are more accessible, making it easier to craft virtual spaces, and home hardware improvements have made it accessible without ... -
An empirical study of the impact of systems thinking and simulation on sustainability education
Green, Caroline; Molloy, Owen; Duggan, Jim; Brennan, Caroline (MDPI, 2021-12-30)Education for sustainable development (ESD) is considered vital to the success of the United Nations¿ sustainable development goals. Systems thinking has been identified as a core competency that must be included in ESD. ... -
Equation-based policy optimization for agent-oriented system dynamics models
Duggan, Jim (Wiley Blackwell, 2008-01-01)Within system dynamics, optimization has played an important role in identifying the best range of parameter values for policies in any given model. Optimal solutions focus on discovering the best combination of model ... -
Equation-based policy optimization for agent-oriented system dynamics models
Duggan, Jim (Wiley-Blackwell, 2008-01-01) -
The influence of random interactions and decision heuristics on norm evolution in social networks
Mungovan, Declan; Howley, Enda; Duggan, Jim (Springer, 2011-05)In this paper we explore the effect that random social interactions have on the emergence and evolution of social norms in a simulated population of agents. In our model agents observe the behaviour of others and update ... -
Input and output data analysis for system dynamics modelling using the tidyverse libraries of R
Duggan, Jim (Wiley, 2018-09-07)From a number of perspectives, system dynamics is a data‐intensive activity. First, each modelling challenge addresses behaviour over time, where historical time series data inform the model‐building process, and techniques ... -
An introduction to system dynamics
Duggan, Jim (Cham: Springer, 2016-06-15)This chapter presents the important concepts underlying the system dynamics modeling method. Following an initial definition of the term model, a summary of a successful system dynamics intervention is described. The key ... -
Knowledge-based multi-objective multi-agent reinforcement learning
Mannion, Patrick (2017-08-17)Multi-Agent Reinforcement Learning (MARL) is a powerful Machine Learning paradigm, where multiple autonomous agents can learn to improve the performance of a system through experience. The majority of MARL implementations ... -
A learning architecture for scheduling workflow applications in the cloud
Barrett, Enda; Howley, Enda; Duggan, Jim (IEEE, 2011-09-15)The scheduling of workflow applications involves the mapping of individual workflow tasks to computational resources, based on a range of functional and non-functional quality of service requirements. Workflow applications ... -
Leveraging nature-inspired techniques to semi-automate the design of multi-agent systems
Mc Donnell, Nicola (NUI Galway, 2023-07-11)Multi-agent systems (MAS) applications are used in many fields, from telecommu nications network management to traffic simulation. Their utilisation is increasing with emerging technologies such as Edge computing and the ... -
An mHealth intervention using a smartphone app to increase walking behavior in young adults: a pilot study.
Corbett, Teresa; Hogan, Michael; Duggan, Jim; McNamara, Abra; Walsh, Jane C. (JMIR Publications, 2016-09-22)Physical inactivity is a growing concern for society and is a risk factor for cardiovascular disease, obesity, and other chronic diseases. This study aimed to determine the efficacy of the Accupedo-Pro Pedometer mobile ...