Publications


Journals:

  • P. Mannion, S. Devlin, J. Duggan & E. Howley. Multi-agent credit assignment in stochastic resource management games, The Knowledge Engineering Review 32, Cambridge Press, (2017)
  • S. Mousavi, M. Schukat, & E. Howley. ‘Traffic Light Control Using Deep Policy-Gradient and Value-Function Based Reinforcement Learning’, IET Intelligent Transport Systems, IET, (2017)
  • K Mason, J Duggan & E Howley. A Meta Optimisation Analysis of Particle Swarm Optimisation Velocity Update Equations for Watershed Management Learning, Applied Soft Computing, Elsevier, Impact Factor: 2.8, (Accepted with Revisions).
  • P Mannion, S Devlin, K Mason, J Duggan & E Howley. Policy Invariance under Reward Transformations for Multi-Objective Reinforcement Learning, Neurocomputing, Elsevier, Impact Factor: 2.3, (2017).
  • Martin Duggan, Jim Duggan, Enda Howley & Enda Barrett. A Network Aware Approach for the Scheduling of Virtual Machine Migration During Peak Loads, Cluster Computing, Springer, Impact Factor: 1.5, In Press (2017).
  • K Mason, J Duggan & E Howley. Multi-Objective Dynamic Economic Emission Dispatch using Particle Swarm Optimisation Variants, Neurocomputing, Elsevier, Impact Factor: 2.3, In Press (2017).
  • K. Mason & E. Howley. Exploring Avoidance Strategies & Neighbourhood Topologies in Particle Swarm Optimisation, International Journal of Swarm Intelligence, Inderscience, (2016).
  • Martin Duggan, Jim Duggan, Enda Howley & Enda Barrett. A reinforcement learning approach for the scheduling of live migration from under utilised hosts, Memetic Computing, Springer, Impact Factor: 0.9, (2016).
  • E.Howley, P. Vrancx & M. Knudsen. (editors) Adaptive Learning Agents, Special Issue of The Knowledge Engineering Review, Cambridge Press, (2016)
  • E. Howley & J. Duggan. Investing in the Commons: A Study of Openness and the Emergence of Cooperation. Advances in Complex Systems,  (2011).
  • E. Howley & C. O’Riordan. The Effects of Viscosity in Choice and Refusal IPD Environments.Artificial Intelligence Review, Springer Publishing, Volume 26 , Issue 1-2, p103-114, ISSN:0269-2821, (2007).

Conferences:

  • P Mannion, J Duggan & E Howley. A Theoretical and Empirical Analysis of Reward Transformations in Multi-Objective Stochastic Games, Proceedings of the 16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2016), K Larson, M Winikoff, S Das, E Durfee(eds.), Sao Paulo, May, 2017.
  • K Mason, J Duggan, & E Howley. Neural Network Topology and Weight Optimization through Neuro Differential Evolution, ACM, GECCO 2017.
  • K Mason, J Duggan, & E Howley. Evolving multi-objective neural networks using differential evolution for dynamic economic emission dispatch, ACM, GECCO 2017.
  • M Duggan, J Duggan, E Howley & E Barrett. A Reinforcement Learning Approach for Dynamic Selection of Virtual Machines in Cloud Data Centres. Innovative Computing Technology (INTECH 2016), 2016.
  • M Duggan, J Duggan, E Howley & E Barrett. An Autonomous Network Aware VM Migration Strategy in Cloud Data Centres. IEEE International Conference on Cloud and Autonomic Computing(ICCAC), 2016.
  • Martina Curran, Enda Howley & Jim Duggan. An Analytics Framework to Support Surge Capacity Planning for Emerging Epidemics. Digital Health 2016: 151-155.
  • Karl Mason, Jim Duggan & Enda Howley. Avoidance Strategies for Particle Swarm Optimisation in Multi-Objective Power Generation Scheduling, Springer Proceedings of the ANTS Conference, Brussels, 2016.
  • Karl Mason, Caitriona Kellehan, Jim Duggan & Enda Howley. Particle Swarm Optimisation with Diversity Influenced Gradually Increasing Neighbourhoods, Springer Proceedings of the ANTS Conference, Brussels, 2016.
  • P. Mannion, K. Mason, S. Devlin, J.Duggan & E. Howley. Multi-Objective Dynamic Dispatch Optimisation using Multi-Agent Reinforcement Learning, Proceedings of the 15th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2016), J. Thangarajah, K. Tuyls, C. Jonker, S. Marsella (eds.), Singapore, May, 2016.
  • S. Moran, E. Howley, & J. Duggan, A Time Series Approach for Wave Height Prediction Based on Real-Time Sensor Data, Proceedings of the YoungOR 19 Biennial Conference
    , Birmingham, UK (2015).
  • M. Curran, E. Howley, & J. Duggan, An R-Based Framework for Implementing Large-Scale Spatial Models of Infectious Diseases , womENcourage 2015, Uppsala University, Sweden, September 2015.
  • I. Broderick, & E. Howley, Particle Swarm Optimisation with Enhanced Memory Particles , ANTS 2014, The 9th International Conference on Swarm Intelligence, Brussels, September 2014.
  • C. Freeman, & E. Howley, The Challenges of Teaching the Windows 95 Generation, EdTech 2013, The 14th Educational Technology Conference of the Irish Learning Technology Association (ILTA), UCC, May 2013.
  • E. Barrett, E. Howley & J. Duggan. A Learning Architecture for Scheduling Workflow Applications in the Cloud, The European Conference on Web Services (ECOWS), University of Lugano, Switzerland 2011.
  • H. Liu, E. Howley & J. Duggan. Particle Swarm Optimisation with Gradually Increasing Directed Neighbourhoods, The Genetic and Evolutionary Computation Conference, GECCO 2011, Dublin, Ireland, 2011.
  • H. Liu, E. Howley & J. Duggan. An Agent Based Simulation of the Effects of Consumer Behavior on Market Price Dynamics. The Nineteenth IASTED International Conference on Applied Simulation and Modelling (ASM 2011), Crete, Greece 2011.
  • E. Howley & J. Duggan. Tag-Based Cooperation in N-Player Dilemmas, Proceedings of the 10th International Conference on Autonomous Agents and Multi-Agent Systems. AAMAS 2011, Taipei, Taiwan, 2011.
  • J. Huang, E. Howley & J. Duggan An Eigenvector Approach for Analysing Linear Feedback Systems. The 28th International System Dynamics Conference, Seoul, South Korea. July 25 – 29.2010.
  • J. Huang, E. Howley & J. Duggan An Extension of Loop Deactivation in the Behavioral Method.The 28th International System Dynamics Conference, Seoul, South Korea. July 25 – 29, 2010.
  • D. Mungovan, E. Howley & J. Duggan. The Effect of Random Social Interactions on Norm Convergence, in Procs. of the 20th Irish Conference on Artificial Intelligence and Cognitive Science, (AICS’09), Lecture Notes in Computer Science, Springer Verlag, Volume 6206/2010, 219-230, ,University College Dublin, August 19th – 21th, 2009.
  • E. Barrett, E. Howley & J. Duggan. Evolving Group Coordination in an N-Player Game. The 10th European Conference on Artificial Life (ECAL), Budapest, Hungary, September 13th – 16th, 2009.
  • J. Huang, E. Howley & J. Duggan. The Ford Method: A Sensitivity Analysis Approach, The 27th International System Dynamics Conference, Albuquerque, New Mexico, USA. July 26 – 30, 2009.
  • H. Liu, E. Howley & J. Duggan. Individual Versus Group Rationality: A Coevolutionary Approach to the Beer Game, The 27th International System Dynamics Conference, Albuquerque, New Mexico, USA. July 26 – 30, 2009.
  • H. Liu, E. Howley & J. Duggan. Optimisation of the Beer Distribution Game with Complex Customer Demand Patterns, Congress on Evolutionary Computation (IEEE CEC’09), Trondheim, Norway, May 18-21, 2009.
  • D. Mungovan, E. Howley & J. Duggan. Modelling Antivirus Defence Strategies in Scale Free Networks, in Procs. of the Nineteenth Irish Conference on Artificial Intelligence and Cognitive Science, (AICS’08), University College Cork, Cork, 27th-29th August, 2008.
  • E. Howley & C. O’Riordan. The Effects of Payoff Preferences on Agent Tolerance, Proceedings of ALIFE XI – The Eleventh International Conference on the Simulation and Synthesis of Living Systems, MIT Press, Winchester, Southampton, United Kingdom, 5-8 August, 2008.
  • E. Howley & C. O’Riordan. The Effects of Viscosity in Choice or Refusal IPD Environments. in D.A. Bell, P. Milligan and P.P. Sage (eds.), Procs. of the Seventeenth Irish Conference on Artificial Intelligence and Cognitive Science, pp.213-222 (AICS’06), Queen’s University, Belfast, 11th-13th September 2006.
  • E. Howley & C. O’Riordan. The Effects and Evolution of Implicit Trust in Populations Playing the Iterated Prisoner’s Dilemma. Congress on Evolutionary Computation (IEEE CEC’06) as part of the Fourth IEEE World Congress on Computational Intelligence (IEEE WCCI’06), Sheraton Vancouver Wall Center, Vancouver, British Columbia, Canada, July 16-21, 2006.
  • E. Howley & C. O’Riordan. Agent Cooperation using Simple Fixed Bias Tags And Multiple Tags.The 16th Irish Conference on Artificial Intelligence and Cognitive Science (AICS’05), University of Ulster, September 7-9, 2005.
  • E. Howley & C. O’Riordan. The Emergence of Cooperation among Agents using Simple Fixed Bias Tagging. Congress on Evolutionary Computation (IEEE CEC’05), Edinburgh, Scotland, September 2-5, 2005

Book Chapters:

  • E. Howley & J. Duggan. The Effects of Evolved Sociability in a Commons Dilemma, Springer Lecture Notes in Artificial Intelligence (LNAI), Adaptive Agents and Multi-Agent Systems: Agent Learning and Argumentation, (Extended Version), 2009
  • E. Howley & C. O’Riordan. Agent Interactions and Implicit Trust in IPD Environments. Springer Lecture Notes in Artificial Intelligence (LNAI), Adaptive Agents and Multi-Agent Systems III. Adaptation and Multi-Agent Learning, 2008.

Workshops:

  • Patrick Mannion, Karl Mason, Sam Devlin, Jim Duggan & Enda Howley. Dynamic Economic Emissions Dispatch Optimisation using Multi-Agent Reinforcement Learning, Adaptive Learning Agents, AAMAS 2016,
  • Patrick Mannion, Sam Devlin, Jim Duggan & Enda Howley. Avoiding the Tragedy of the Commons using Reward Shaping, Adaptive Learning Agents, AAMAS 2016,
  • Karl Mason, Patrick Mannion, Jim Duggan & Enda Howley. Applying Multi-Agent Reinforcement Learning to Watershed Management, Adaptive Learning Agents, AAMAS 2016,
  • P. Mannion, J. Duggan, & E. Howley. Parallel Reinforcement Learning with State Action Space Partitioning,12th European Workshop on Reinforcement Learning at ICML 2015, Lille, France,2015
  • E. Barrett, E. Howley, & J. Duggan. Parallel Bayesian Model Learning, Adaptive Learning Agents (ALA) Workshop held at AAMAS ’13, St Paul, Minneapolis, 2013
  • H. Liu, E. Howley & J. Duggan. The Impact of Market Preferences on the Evolution of Market Price and Product Quality. Workshop on Multi-Agent Systems and Simulation (MAS&S) to be held at “The Multi-Agent Logics, Languages, and Organisations Federated Workshops” (MALLOW 2010), Domaine Valpré in Lyon, France, 2010.
  • E. Barrett, E. Howley & J. Duggan. A Reinforcement Learning Approach to Demand Estimation for Heterogenous Services. MDA4ServiceCloud 2010, Paris, France, 2010
  • D. Mungovan, E. Howley & J. Duggan. A Generative Approach to Constructing Dynamic Networks with Small World Properties. The International Workshop on Emergent Intelligence on Networked Agents (WEIN 2010) held at AAMAS ’10, Toronto, Canada, 2010.
  • E. Barrett, E. Howley & J. Duggan. A Comparison of Learning Approaches to Support the Adaptive Provision of Distributed Services. Adaptive Learning Agents (ALA) Workshop held at AAMAS ’10, Toronto, Canada, 2010.
  • E. Howley & J. Duggan. The Evolution of Cooperation and Investment Strategies in a Commons Dilemma. Adaptive Learning Agents (ALA) Workshop held at AAMAS ’10, Toronto, Canada, 2010
  • D. Mungovan, E. Howley & J. Duggan. Norm Convergence in Populations of Dynamically Interacting Agents, The eleventh edition of the European Agent Systems Summer School (EASSS’09), University of Torino, Italy, 31 August – 4 September, 2009
  • D. Mungovan, E. Howley & J. Duggan. The Effect of Random Social Interactions and Dynamic Network Structures on Product Adoption, Workshop on Statistical Methods for the Analysis of Network Data in Practice ’09, University College Dublin, Ireland, June 15-17th, 2009.
  • E. Howley & J. Duggan. The Evolution of Agent Strategies and Sociability in a Commons Dilemma, Adaptive Learning Agents (ALA) Workshop, to be held at AAMAS’09, (Short Version),Budapest, Hungary, May 12, 2009.
  • E. Howley & C. O’Riordan. Agent Interactions and Implicit Trust in IPD Environments. In Proceedings of the 7th ALAMAS Symposium, ISNN, 2-3 April, Maastricht, The Netherlands, 2007.

Technical Reports:

  • H. Liu, E. Howley & J. Duggan. Inventory Management Strategies in the Beer Distribution Game, Technical Report SDRG-0902, National University of Ireland, Galway, 2009.
  • D. Mungovan, E. Howley & J. Duggan. A Multi-Agent Feedback Model of Consumer Behaviour, Technical Report SDRG-0901, National University of Ireland, Galway, 2009.
  • D. Mungovan, E. Howley & J. Duggan. The impact of network structure and an asymptomatic incubation stage on the spread of a pathogen and fear, Technical Report SDRG-0801, National University of Ireland, Galway, 2008.

Thesis

  • E. Howley. Trust and Multi-Agent Interactions: A Game Theoretic Analysis, Ph.D. Thesis, 2009