Dr Enda Howley

B.Sc, Ph.D

 
researcher
 

Biography


Dr. Enda Howley is a Lecturer (Above the Bar) in the School of Computer Science, NUI Galway. He currently serves as the Director of Internationalisation in the School of Computer Science. 

He was Programme Director of the Masters in Computer Science (Data Analytics) in 2018-2020. He was previously Programme Director of the innovative industry-focused Higher Diploma in Software Design and Development (Industry Stream) programme from 2013-2018. As a programme director, he won the national Grad Ireland Postgraduate Programme of the Year in Information Technology award in 2015.
 
Dr. Howley has been a shortlisted finalist in the NUI Galway Presidents Teaching Awards, and Research Supervisor Award, and has very active research career. 

Research Interests

  • Dr. Howley has a broad set of research interests in the areas of machine learning and multi-agent systems. He supervises a number of projects which span topics such as: 
  • Multi-Agent Systems
  • Learning and Evolution
  • Complex Adaptive Systems
  • System Dynamics & Simulation
  • Norms and Social Networks
  • Cloud Computing & Energy Optimisation. 
  • Smart Cities
  • Bioinformatics

Peer Reviewed Journals

  Year Publication
(2021) 'Applying Reinforcement Learning towards automating energy efficient virtual machine consolidation in cloud data centers'
Rachael Shaw and Enda Howley and Enda Barrett (2021) 'Applying Reinforcement Learning towards automating energy efficient virtual machine consolidation in cloud data centers'. Information Systems, [DOI] [Details]
(2020) 'Stock-flow thinking: A difficult concept to grasp'
Curran, Martina and Howley, Enda and Duggan, Jim (2020) 'Stock-flow thinking: A difficult concept to grasp'. Systems Research and Behavioral Science, 37 (6):886-891 [DOI] [Details]
(2020) 'An intelligent ensemble learning approach for energy efficient and interference aware dynamic virtual machine consolidation'
Shaw, R;Howley, E;Barrett, E (2020) 'An intelligent ensemble learning approach for energy efficient and interference aware dynamic virtual machine consolidation'. Simulation Modelling Practice And Theory, 102 :101992-101992 [DOI] [Details]
(2020) 'Dynamic virtual machine consolidation using a multi-agent system to optimise energy efficiency in cloud computing'
Mc Donnell, N,Howley, E,Duggan, J (2020) 'Dynamic virtual machine consolidation using a multi-agent system to optimise energy efficiency in cloud computing'. Future Generation Computer Systems-The International Journal Of Grid Computing And Escience, 108 :288-301 [DOI] [Details]
(2019) 'A multitime-steps-ahead prediction approach for scheduling live migration in cloud data centers'
Duggan, M. and Shaw, R. and Duggan, J. and Howley, E. and Barrett, E. (2019) 'A multitime-steps-ahead prediction approach for scheduling live migration in cloud data centers'. Software: Practice and Experience, 49 (4):617-639 [DOI] [Details]
(2019) 'An energy efficient anti-correlated virtual machine placement algorithm using resource usage predictions'
Shaw, R,Howley, E,Barrett, E (2019) 'An energy efficient anti-correlated virtual machine placement algorithm using resource usage predictions'. Simulation Modelling Practice And Theory, 93 :322-342 [DOI] [Details]
(2019) 'Chordomics: a visualization tool for linking function to phylogeny in microbiomes'
McDonnell, K,Waters, NR,Howley, E,Abram, F (2019) 'Chordomics: a visualization tool for linking function to phylogeny in microbiomes'. Bioinformatics, 36 :1309-1310 [DOI] [Details]
(2018) 'Predicting host CPU utilization in the cloud using evolutionary neural networks'
Mason, K,Duggan, M,Barrett, E,Duggan, J,Howley, E (2018) 'Predicting host CPU utilization in the cloud using evolutionary neural networks'. Future Generation Computer Systems-The International Journal Of Grid Computing And Escience, 86 :162-173 [DOI] [Details]
(2018) 'Watershed management using neuroevolution'
Mason, Karl,Duggan, Jim,Howley, Enda (2018) 'Watershed management using neuroevolution'. Modeling Earth Systems and Environment, 4 (4):1445-1448 [Details]
(2018) 'A multi-objective neural network trained with differential evolution for dynamic economic emission dispatch'
Mason, K,Duggan, J,Howley, E (2018) 'A multi-objective neural network trained with differential evolution for dynamic economic emission dispatch'. International Journal Of Electrical Power & Energy Systems, 100 :201-221 [DOI] [Details]
(2018) 'Reward shaping for knowledge-based multi-objective multi-agent reinforcement learning'
Mannion, P; Devlin, S; Duggan, J; Howley, E (2018) 'Reward shaping for knowledge-based multi-objective multi-agent reinforcement learning'. Knowledge Engineering Review, 33 [DOI] [Details]
(2018) 'A meta optimisation analysis of particle swarm optimisation velocity update equations for watershed management learning'
Mason, K,Duggan, J,Howley, E (2018) 'A meta optimisation analysis of particle swarm optimisation velocity update equations for watershed management learning'. Applied Soft Computing, 62 :148-161 [DOI] [Details]
(2018) 'Forecasting energy demand, wind generation and carbon dioxide emissions in Ireland using evolutionary neural networks'
Mason, K,Duggan, J,Howley, E (2018) 'Forecasting energy demand, wind generation and carbon dioxide emissions in Ireland using evolutionary neural networks'. Energy, 155 :705-720 [DOI] [Details]
(2017) 'A network aware approach for the scheduling of virtual machine migration during peak loads'
Duggan, M,Duggan, J,Howley, E,Barrett, E (2017) 'A network aware approach for the scheduling of virtual machine migration during peak loads'. Cluster Computing-The Journal Of Networks Software Tools And Applications, 20 :2083-2094 [DOI] [Details]
(2017) 'Traffic light control using deep policy-gradient and value-function-based reinforcement learning'
Mousavi, SS,Schukat, M,Howley, E (2017) 'Traffic light control using deep policy-gradient and value-function-based reinforcement learning'. Iet Intelligent Transport Systems, 11 :417-423 [DOI] [Details]
(2017) 'A reinforcement learning approach for the scheduling of live migration from under utilised hosts'
Duggan, M,Duggan, J,Howley, E,Barrett, E (2017) 'A reinforcement learning approach for the scheduling of live migration from under utilised hosts'. Memetic Computing, 9 :283-293 [DOI] [Details]
(2017) 'Policy invariance under reward transformations for multi-objective reinforcement learning'
Mannion, P; Devlin, S; Mason, K; Duggan, J; Howley, E (2017) 'Policy invariance under reward transformations for multi-objective reinforcement learning'. Neurocomputing, 263 :60-73 [DOI] [Details]
(2017) 'Multi-agent credit assignment in stochastic resource management games'
Mannion, P; Devlin, S; Duggan, J; Howley, E (2017) 'Multi-agent credit assignment in stochastic resource management games'. Knowledge Engineering Review, 32 [DOI] [Details]
(2017) 'Multi-objective dynamic economic emission dispatch using particle swarm optimisation variants'
Mason, K,Duggan, J,Howley, E (2017) 'Multi-objective dynamic economic emission dispatch using particle swarm optimisation variants'. Neurocomputing, 270 :188-197 [DOI] [Details]
(2016) 'Exploring avoidance strategies and neighbourhood topologies in particle swarm optimisation'
Mason, Karl and Howley, Enda (2016) 'Exploring avoidance strategies and neighbourhood topologies in particle swarm optimisation'. International Journal of Swarm Intelligence, 2 (2-4):188-207 [DOI] [Details]
(2014) 'A parallel framework for Bayesian reinforcement learning'
Barrett, E,Duggan, J,Howley, E (2014) 'A parallel framework for Bayesian reinforcement learning'. Connection Science, 26 :7-23 [DOI] [Details]
(2013) 'Applying reinforcement learning towards automating resource allocation and application scalability in the cloud'
Barrett, E,Howley, E,Duggan, J (2013) 'Applying reinforcement learning towards automating resource allocation and application scalability in the cloud'. Concurrency And Computation-Practice & Experience, 25 :1656-1674 [DOI] [Details]
(2012) 'Co-evolutionary analysis: a policy exploration method for system dynamics models'
Liu, HL;Howley, E;Duggan, J (2012) 'Co-evolutionary analysis: a policy exploration method for system dynamics models'. System Dynamics Review, 28 :361-369 [DOI] [Details]
(2012) 'Observations on the shortest independent loop set algorithm'
Huang, JJ;Howley, E;Duggan, J (2012) 'Observations on the shortest independent loop set algorithm'. System Dynamics Review, 28 :276-280 [DOI] [Details]
(2011) 'The influence of random interactions and decision heuristics on norm evolution in social networks'
Mungovan, D;Howley, E;Duggan, J (2011) 'The influence of random interactions and decision heuristics on norm evolution in social networks'. Journal Of Computational And Mathematical Organization Theory, 17 :152-178 [DOI] [Details]
(2011) 'Investing in the Commons: a Study of Openness and the Emergence of Cooperation'
Howley, E; Duggan, D (2011) 'Investing in the Commons: a Study of Openness and the Emergence of Cooperation'. Advances In Complex Systems, 14 (2):229-250 [DOI] [Details]
(2007) 'The Effects of Viscosity in Choice and Refusal IPD Environments'
E. Howley & C. O'Riordan. (2007) 'The Effects of Viscosity in Choice and Refusal IPD Environments'. Artificial Intelligence Review, 26 (01-Feb):103-114 [DOI] [Details]

Book Chapters

  Year Publication
(2016) 'An Experimental Review of Reinforcement Learning Algorithms for Adaptive Traffic Signal Control'
Mannion, P; Duggan, J; Howley, E (2016) 'An Experimental Review of Reinforcement Learning Algorithms for Adaptive Traffic Signal Control' In: Autonomic Road Transport Support Systems. CHAM: SPRINGER INTERNATIONAL PUBLISHING AG. [DOI] [Details]

Conference Publications

  Year Publication
(2021) AAMAS'21: PROCEEDINGS OF THE 2021 INTERNATIONAL CONFERENCE ON AUTONOMOUS AGENTS & MULTIAGENT SYSTEMS
Hayes C.F; Roijers D.M; Howley E; Mannion P; (2021) Distributional Monte Carlo Tree Search for Risk-Aware and Multi-Objective Reinforcement Learning AAMAS'21: PROCEEDINGS OF THE 2021 INTERNATIONAL CONFERENCE ON AUTONOMOUS AGENTS & MULTIAGENT SYSTEMS [Details]
(2020) Parallel Problem Solving from Nature -- PPSN XVI
Mc Donnell, Nicola and Howley, Enda and Duggan, Jim (2020) Evolved Gossip Contracts - A Framework for Designing Multi-agent Systems . In: B\ eds. Parallel Problem Solving from Nature -- PPSN XVI Cham, , pp.637-649 [Details]
(2019) Service-Oriented Computing
Shaw, Rachael and Howley, Enda and Barrett, Enda (2019) An Energy Efficient and Interference Aware Virtual Machine Consolidation Algorithm Using Workload Classification . In: Yangui, Sami and Bouassida Rodriguez, Ismael and Drira, Khalil and Tari, Zahir eds. Service-Oriented Computing Cham, , pp.251-266 [Details]
(2018) A Predictive Anti-Correlated Virtual Machine Placement Algorithm for Green Cloud Computing
Shaw, R,Howley, E,Barrett, E,Sill, A,Spillner, J (2018) 2018 IEEE/ACM 11TH INTERNATIONAL CONFERENCE ON UTILITY AND CLOUD COMPUTING (UCC) A Predictive Anti-Correlated Virtual Machine Placement Algorithm for Green Cloud Computing , pp.267-276 [DOI] [Details]
(2017) 2017 12th International Conference for Internet Technology and Secured Transactions (ICITST)
R. Shaw and E. Howley and E. Barrett (2017) An advanced reinforcement learning approach for energy-aware virtual machine consolidation in cloud data centers 2017 12th International Conference for Internet Technology and Secured Transactions (ICITST) , pp.61-66 [Details]
(2017) 2017 12th International Conference for Internet Technology and Secured Transactions (ICITST)
M. Duggan and K. Mason and J. Duggan and E. Howley and E. Barrett (2017) Predicting host CPU utilization in cloud computing using recurrent neural networks 2017 12th International Conference for Internet Technology and Secured Transactions (ICITST) , pp.67-72 [Details]
(2017) Service-Oriented Computing
Shaw, Rachael and Howley, Enda and Barrett, Enda (2017) Predicting the Available Bandwidth on Intra Cloud Network Links for Deadline Constrained Workflow Scheduling in Public Clouds . In: Maximilien, Michael and Vallecillo, Antonio and Wang, Jianmin and Oriol, Marc eds. Service-Oriented Computing Cham, , pp.221-228 [Details]
(2017) Proceedings of the Genetic and Evolutionary Computation Conference Companion
Mason, Karl and Duggan, Jim and Howley, Enda (2017) Neural network topology and weight optimization through neuro differential evolution Proceedings of the Genetic and Evolutionary Computation Conference Companion , pp.213-214 [Details]
(2017) Proceedings of the Genetic and Evolutionary Computation Conference Companion
Mason, Karl and Duggan, Jim and Howley, Enda (2017) Evolving Multi-Objective Neural Networks Using Differential Evolution for Dynamic Economic Emission Dispatch Proceedings of the Genetic and Evolutionary Computation Conference Companion Berlin, Germany, , pp.1287-1294 [DOI] [Details]
(2017) A Theoretical and Empirical Analysis of Reward Transformations in Multi-Objective Stochastic Games
Mannion, P,Duggan, J,Howley, E, (2017) AAMAS'17: PROCEEDINGS OF THE 16TH INTERNATIONAL CONFERENCE ON AUTONOMOUS AGENTS AND MULTIAGENT SYSTEMS A Theoretical and Empirical Analysis of Reward Transformations in Multi-Objective Stochastic Games , pp.1625-1627 [Details]
(2016) Learning, Inference and Control of Multi-Agent Systems (at NIPS 2016)
Mannion, P; Duggan, J; Howley, E (2016) Generating Multi-Agent Potential Functions using Counterfactual Estimates Learning, Inference and Control of Multi-Agent Systems (at NIPS 2016) Barcelona, [Details]
(2016) PROCEEDINGS OF SAI INTELLIGENT SYSTEMS CONFERENCE (INTELLISYS) 2016, VOL 2
Mousavi, SS,Schukat, M,Howley, E,Bi, Y,Kapoor, S,Bhatia, R (2016) Deep Reinforcement Learning: An Overview PROCEEDINGS OF SAI INTELLIGENT SYSTEMS CONFERENCE (INTELLISYS) 2016, VOL 2 , pp.426-440 [DOI] [Details]
(2016) An Autonomous Network Aware VM Migration Strategy in Cloud Data Centres
Duggam, M,Duggan, J,Howley, E,Barrett, E,Gupta I,Diao, Y (2016) 2016 INTERNATIONAL CONFERENCE ON CLOUD AND AUTONOMIC COMPUTING (ICCAC) An Autonomous Network Aware VM Migration Strategy in Cloud Data Centres , pp.24-32 [DOI] [Details]
(2016) 2016 SIXTH INTERNATIONAL CONFERENCE ON INNOVATIVE COMPUTING TECHNOLOGY (INTECH)
Duggan, M;Flesk, K;Duggan, J;Howley, E;Barrett, E (2016) A Reinforcement Learning Approach for Dynamic Selection of Virtual Machines in Cloud Data Centres 2016 SIXTH INTERNATIONAL CONFERENCE ON INNOVATIVE COMPUTING TECHNOLOGY (INTECH) , pp.92-97 [Details]
(2016) AAMAS'16: PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON AUTONOMOUS AGENTS & MULTIAGENT SYSTEMS
Mannion, P; Mason, K; Devlin, S; Duggan, J; Howley, E (2016) Multi-Objective Dynamic Dispatch Optimisation using Multi-Agent Reinforcement Learning AAMAS'16: PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON AUTONOMOUS AGENTS & MULTIAGENT SYSTEMS Singapore, , pp.1345-1346 [Details]
(2016) An Analytics Framework to Support Surge Capacity Planning for Emerging Epidemics
Curran, M,Howley, E,Duggan, J, (2016) DH'16: PROCEEDINGS OF THE 2016 DIGITAL HEALTH CONFERENCE An Analytics Framework to Support Surge Capacity Planning for Emerging Epidemics , pp.151-155 [DOI] [Details]
(2016) ANTS 2016, Tenth International Conference on Swarm Intelligence
Mason, K;Kellehan, C;Duggan, J;Howley, E (2016) Particle Swarm Optimisation with Diversity Influenced Gradually Increasing Neighbourhoods . In: E,Dorigo, M,Birattari, M,Li X,LopezIbanez, M,Ohkura, K,Pinciroli, C,Stutzle, T eds. ANTS 2016, Tenth International Conference on Swarm Intelligence , pp.300-302 [Details]
(2016) ANTS 2016, Tenth International Conference on Swarm Intelligence
Mason, K;Duggan, J;Howley, E (2016) Avoidance Strategies for Particle Swarm Optimisation in Power Generation Scheduling . In: E,Dorigo, M,Birattari, M,Li X,LopezIbanez, M,Ohkura, K,Pinciroli, C,Stutzle, T eds. ANTS 2016, Tenth International Conference on Swarm Intelligence , pp.289-290 [Details]
(2015) Avoidance Strategies in Particle Swarm Optimisation
Mason, K,Howley, E,Matousek, R (2015) MENDEL 2015: RECENT ADVANCES IN SOFT COMPUTING Avoidance Strategies in Particle Swarm Optimisation , pp.3-15 [DOI] [Details]
(2015) 6TH INTERNATIONAL CONFERENCE ON AMBIENT SYSTEMS, NETWORKS AND TECHNOLOGIES (ANT-2015), THE 5TH INTERNATIONAL CONFERENCE ON SUSTAINABLE ENERGY INFORMATION TECHNOLOGY (SEIT-2015)
Mannion, P,Duggan, J,Howley, E,Shakshuki, E (2015) Parallel Reinforcement Learning for Traffic Signal Control 6TH INTERNATIONAL CONFERENCE ON AMBIENT SYSTEMS, NETWORKS AND TECHNOLOGIES (ANT-2015), THE 5TH INTERNATIONAL CONFERENCE ON SUSTAINABLE ENERGY INFORMATION TECHNOLOGY (SEIT-2015) , pp.956-961 [DOI] [Details]
(2014) SWARM INTELLIGENCE, ANTS 2014
Broderick, I;Howley, E (2014) Particle Swarm Optimisation with Enhanced Memory Particles . In: E,Dorigo, M,Birattari, M,Li X,LopezIbanez, M,Ohkura, K,Pinciroli, C,Stutzle, T eds. SWARM INTELLIGENCE, ANTS 2014 , pp.254-261 [Details]
(2011) 9th IEEE European Conference on Web Services
Barrett, E; Howley; E; Duggan J (2011) A Learning Architecture for Scheduling Workflow Applications in the Cloud . In: Gianluigi Zavattaro, Ulf Schreier, Cesare Pautasso eds. 9th IEEE European Conference on Web Services Lugano, Switzerland, , 14-SEP-11 - 16-SEP-11 , pp.83-90 [DOI] [Details]
(2011) 13th annual conference on Genetic and evolutionary computation
Liu, H; Howley, E; Duggan, J: (2011) Particle swarm optimisation with gradually increasing directed neighbourhoods 13th annual conference on Genetic and evolutionary computation Dublin, Ireland, , 12-JUL-11 - 16-JUL-11 , pp.29-36 [DOI] [Details]
(2011) 10th International Conference on Autonomous Agents and Multiagent Systems
E. Howley & J. Duggan. (2011) Tag-Based Cooperation in N-Player Dilemmas 10th International Conference on Autonomous Agents and Multiagent Systems Taipei, Taiwan, [Details]
(2011) The Nineteenth IASTED International Congress on Applied Simulation and Modelling (ASM 2011)
H. Liu, E. Howley & J. Duggan. (2011) An Agent Based Simulation of the Effects of Consumer Behavior on Market Price Dynamics. The Nineteenth IASTED International Conference on Applied Simulation and Modelling The Nineteenth IASTED International Congress on Applied Simulation and Modelling (ASM 2011) Crete, Greece, [Details]
(2010) ARTIFICIAL INTELLIGENCE AND COGNITIVE SCIENCE
Mungovan, D;Howley, E;Duggan, J (2010) Norm Convergence in Populations of Dynamically Interacting Agents ARTIFICIAL INTELLIGENCE AND COGNITIVE SCIENCE , pp.219-230 [Details]
(2010) Proceedings of the 28th International Conference of the System Dynamics Society
J. Huang, E. Howley & J. Duggan (2010) An Extension of Loop Deactivation in the Behavioral Method Proceedings of the 28th International Conference of the System Dynamics Society Seoul, South Korea, , 25-JUL-10 - 29-JUL-10 [Details]
(2010) Proceedings of the 28th International Conference of the System Dynamics Society
J. Huang, E. Howley & J. Duggan (2010) An Eigenvector Approach for Analysing Linear Feedback Systems Proceedings of the 28th International Conference of the System Dynamics Society Seoul, South Korea, , 25-JUL-10 - 29-JUL-10 [Details]
(2009) Proceedings of the 27th International Conference of the System Dynamics Society
J. Huang, E. Howley & J. Duggan. (2009) The Ford Method: A Sensitivity Analysis Approach Proceedings of the 27th International Conference of the System Dynamics Society Albuquerque, New Mexico, USA, , 26-JUL-09 - 30-JUL-09 [Details]
(2009) 2009 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-5
Liu, HL;Howley, E;Duggan, J (2009) Optimisation of the Beer Distribution Game with Complex Customer Demand Patterns 2009 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-5 , pp.2638-2645 [Details]
(2009) 10th European Conference, ECAL 2009
Barrett, E; Howley, E; Duggan, J; (2009) Evolving Group Coordination in an N-Player Game . In: George Kampis, István Karsai, Eörs Szathmáry eds. 10th European Conference, ECAL 2009 Budapest, Hungary, , 13-SEP-10 - 16-SEP-10 , pp.450-457 [DOI] [Details]
(2008) ADAPTIVE AGENTS AND MULTI-AGENT SYSTEMS
Howley, E; O'Riordan, C (2008) Agent interactions and implicit trust in IPD environments ADAPTIVE AGENTS AND MULTI-AGENT SYSTEMS , pp.87-101 [Details]
(2008) ALIFE XI - The Eleventh International Conference on the Simulation and Synthesis of Living Systems
E. Howley & C. O'Riordan. (2008) The Effects of Payoff Preferences on Agent Tolerance ALIFE XI - The Eleventh International Conference on the Simulation and Synthesis of Living Systems Southampton, United Kingdom, , 05-AUG-08 - 08-AUG-08 [Details]
(2006) Procs. of the Seventeenth Irish Conference on Artificial Intelligence and Cognitive Science
E. Howley & C. O'Riordan. (2006) 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 Queen's University, Belfast, , 11-SEP-06 - 13-SEP-06 , pp.213-222 [Details]
(2006) 2006 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-6
HOWLEY, E et al. (2006) The effects and evolution of implicit trust in populations playing the iterated prisoner's dilemma 2006 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-6 , pp.793-799 [Details]
(2005) 2005 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-3, PR
HOWLEY, E et al. (2005) The emergence of cooperation among agents using simple fixed bias tagging 2005 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-3, PR , pp.1011-1016 [Details]

Editorial

  Year Publication
(2016) Preface to the special issue: adaptive learning agents.
Vrancx, P,Howley, E,Knudson, M (2016) Preface to the special issue: adaptive learning agents. Editorial [DOI] [Details]
(2014) Preface to the special issue: Adaptive Learning Agents, Part 1.
S. Devlin, D. Hennes & E.Howley. (2014) Preface to the special issue: Adaptive Learning Agents, Part 1. Editorial [DOI] [Details]
(2014) Preface to the special issue: Adaptive Learning Agents Part 2.
Devlin, S,Hennes, D,Howley, E (2014) Preface to the special issue: Adaptive Learning Agents Part 2. Editorial [DOI] [Details]

Thesis

  Year Publication
(2009) Trust and Multi-Agent Interactions: A Game Theoretic Analysis. Ph.D. Thesis.
E. Howley. (2009) Trust and Multi-Agent Interactions: A Game Theoretic Analysis. Ph.D. Thesis. Thesis [Details]

Workshops

  Year Publication
(2020) Dynamic Thresholded Lexicographic Ordering.
CF Hayes; E. Howley; P. Mannion (2020) Dynamic Thresholded Lexicographic Ordering. Adaptive Learning Agents Workshop: Workshops [Details]
(2017) ALA2017: Applying Q(λ)-learning in Deep Reinforcement Learning to Play Atari Games.
Mousavi, SS; Schukat, M; Mannion, P; Howley, E (2017) ALA2017: Applying Q(λ)-learning in Deep Reinforcement Learning to Play Atari Games. Adaptive and Learning Agents Workshop: Workshops [Details]
(2017) Analysing the effects of reward shaping in multi-objective stochastic games.
Mannion, P; Duggan, J; Howley, E (2017) Analysing the effects of reward shaping in multi-objective stochastic games. Adaptive and Learning Agents Workshop: Workshops [Details]
(2017) Potential-Based Reward Shaping Preserves Pareto Optimal Policies.
Mannion, P; Devlin, S; Mason, K; Duggan, J; Howley, E (2017) Potential-Based Reward Shaping Preserves Pareto Optimal Policies. Adaptive and Learning Agents Workshop: Workshops [Details]
(2016) Applying Multi-Agent Reinforcement Learning to Watershed Management.
Mason, K; Mannion, P; Duggan, J; Howley, E (2016) Applying Multi-Agent Reinforcement Learning to Watershed Management. Adaptive and Learning Agents Workshop: Workshops [Details]
(2016) Dynamic economic emissions dispatch optimisation using multi-agent reinforcement learning.
Mannion, P; Mason, K; Devlin, S; Duggan, J; Howley, E (2016) Dynamic economic emissions dispatch optimisation using multi-agent reinforcement learning. Adaptive and Learning Agents Workshop: Workshops [Details]
(2016) Avoiding the Tragedy of the Commons using Reward Shaping.
Mannion, P; Devlin, S; Duggan, J; Howley, E (2016) Avoiding the Tragedy of the Commons using Reward Shaping. Adaptive and Learning Agents Workshop: Workshops [Details]
(2015) Parallel Reinforcement Learning with State Action Space Partitioning.
Mannion, P; Duggan, J; Howley, E (2015) Parallel Reinforcement Learning with State Action Space Partitioning. 12th European Workshop on Reinforcement Learning (at ICML 2015): Workshops [Details]
(2015) Parallel Learning using Heterogeneous Agents.
P Mannion; J. Duggan; E Howley (2015) Parallel Learning using Heterogeneous Agents. Adaptive and Learning Agents Workshop: Workshops [Details]
(2013) Parallel Bayesian Model Learning.
E Barrett; E Howley; J. Duggan (2013) Parallel Bayesian Model Learning. Adaptive and Learning Agents Workshop: Workshops [Details]
(2011) Particle Swarm Optimisation with Gradually Increasing Directed Neighbourhoods . The Genetic and Evolutionary Computation Conference.
H. Liu, E. Howley & J. Duggan. (2011) Particle Swarm Optimisation with Gradually Increasing Directed Neighbourhoods . The Genetic and Evolutionary Computation Conference. Dublin, Ireland: Workshops [Details]
(2011) A Learning Architecture for Scheduling Workflow Applications in the Cloud . The European Conference on Web Services.
E. Barrett, E. Howley & J. Duggan (2011) A Learning Architecture for Scheduling Workflow Applications in the Cloud . The European Conference on Web Services. University of Lugano, Switzerland: Workshops [Details]
(2010) A Generative Approach to Constructing Dynamic Networks with Small World Properties.
D. Mungovan, E. Howley & J. Duggan. (2010) A Generative Approach to Constructing Dynamic Networks with Small World Properties. Toronto, Canada: Workshops [Details]
(2010) The Impact of Market Preferences on the Evolution of Market Price and Product Quality Workshop on Multi-Agent Systems and Simulatio. The Multi-Agent Logics, Languages, and Organisations Federated Workshops.
H. Liu, E. Howley & J. Duggan. (2010) The Impact of Market Preferences on the Evolution of Market Price and Product Quality Workshop on Multi-Agent Systems and Simulatio. The Multi-Agent Logics, Languages, and Organisations Federated Workshops. Domaine Valpré in Lyon, France: Workshops [Details]
(2010) A Comparison of Learning Approaches to Support the Adaptive Provision of Distributed Services. Adaptive Learning Agents (ALA) Workshop held at AAMAS '10.
E. Barrett, E. Howley & J. Duggan. (2010) A Comparison of Learning Approaches to Support the Adaptive Provision of Distributed Services. Adaptive Learning Agents (ALA) Workshop held at AAMAS '10. Toronto, Canada: Workshops [Details]
(2010) The Evolution of Cooperation and Investment Strategies in a Commons Dilemma . Adaptive Learning Agents (ALA) Workshop held at AAMAS '10.
E. Howley & J. Duggan. (2010) The Evolution of Cooperation and Investment Strategies in a Commons Dilemma . Adaptive Learning Agents (ALA) Workshop held at AAMAS '10. Toronto, Canada: Workshops [Details]
(2009) 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.
D. Mungovan, E. Howley & J. Duggan. (2009) 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. University College Dublin, Ireland: Workshops [Details]
(2009) The effects of evolved sociability in a commons dilemma.
Howley, E;Duggan, J (2009) The effects of evolved sociability in a commons dilemma. Adaptive and Learning Agents Workshop: Workshops [Details]

Education

  Year Institution Qualification Subject
2010 National University of Ireland Galway PhD in Computer Science Computer Science and Engineering
2004 National University of Ireland Galway BSc Information Technology

Teaching Interests

Dr. Howley has a broad range of teaching interests such as: 

  • Agents, Multi-Agent Systems & Reinforcement Learning
  • Algorithms and Logic
  • Programming Languages (C, C# and Java)
  • Programming Paradigms 
  • Software Engineering 
  • Artificial Intelligence

Modules Taught

  Term/Year Module Title Module Code Subject / Desc
2020-2021 Artificial Intelligence CT319
2020-2021 Algorithms and Logical Foundations CT853
2020-2021 Engineering Computing 1 CT1110
2020-2021 Research Project CT5117
2020-2021 Agents, Multi-Agent Systems and Reinforcement Learning CT5134
2020-2021 Agents, Multi-Agent Systems and Reinforcement Learning [Online] CT5130