Browsing College of Engineering and Informatics by Author "Duggan, Jim"
Now showing items 1-17 of 17
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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 ... -
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 ... -
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 ... -
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 ... -
Modeling limits to growth
Duggan, Jim (Springer, Cham, 2016-06-15)This chapter introduces system dynamics models of limits to growth. First, a one-stock model is presented, where the growth rate varies, and is influenced by the system’s carrying capacity. Second, a model of economic ... -
A Multi-Agent System for Context-based Distributed Data Mining
Xing, Yan; Madden, Michael; Duggan, Jim; Lyons, Gerard J. (2003) -
Observations on the shortest independent loop set algorithm
Huang, Jinjing; Howley, Enda; Duggan, Jim (System Dynamics Society / Wiley, 2012-07-31)The shortest independent loop set (SILS) algorithm is a widely adopted loop selection method in eigenvalue elasticity analysis to identify dominant loops. However, we find that, in an individual-based model, the SILS cannot ... -
Particle swarm optimisation with gradually increasing directed neighbourhoods
Liu, Hongliang; Howley, Enda; Duggan, Jim (Association for Computing Machiner, 2011)Particle swarm optimisation (PSO) is an intelligent random search algorithm, and the key to success is to effectively balance between the exploration of the solution space in the early stages and the exploitation of the ... -
System dynamics modelling to support policy analysis for sustainable health care
Lyons, Gerard J.; Duggan, Jim (2014)System dynamics (SD) is an established simulation methodology used to explore the behaviour of social systems over time. The field has addressed challenging sustainability problems in fisheries, urban planning and environmental ... -
Using multiple objective optimisation to generate policy insights for system dynamics models.
Duggan, Jim (System dynamics society, 2005)Multiple objective optimisation (MOO) is an optimisation approach that has been widely used to solve optimisation problems with more than one objective function. The benefit of this approach is that it generates a set of ... -
Using systems thinking, system dynamics and simulation for sustainability education: A study design
Green, Caroline; Molloy, Owen; Duggan, Jim; Brennan, Caroline (System Dynamics Society, 2020-06-08)Education for Sustainable Development (ESD) is vital to the success of the United Nation¿s Sustainable Development Goals (SDGs). There is broad consensus that it requires active, participative and experiential learning ...