Aske Plaat
Professor of Data science
- Name
- Prof.dr. A. Plaat
- Telephone
- +31 71 527 7065
- a.plaat@liacs.leidenuniv.nl
- ORCID iD
- 0000-0001-7202-3322
Professor Aske Plaat is Professor of Data Science at Leiden University. He is co-founder of the Leiden Centre of Data Science (LCDS) and initiated the interdisciplinary research programme Society, Artificial Intelligence and Life Sciences (SAILS). Between 2016 and 2023 he held the position of scientific director at the Leiden Institute of Advanced Computer Science (LIACS). Plaat's research interests include reinforcement learning, scalable combinatorial reasoning algorithms, games and self-learning systems.
More information about Aske Plaat
PhD candidates
News
-
Marcello Bonsangue new Scientific Director of the LIACS institute -
'Science works better when you are diverse' -
Two directors of education for LIACS -
Quantum Leiden creates potential for a great quantum future -
Visit by Members of Parliament highlights interdisciplinary research and collaboration -
The future of artificial intelligence -
BNAIC/Benelearn conference big success -
University invests extra funds in groundbreaking research -
‘Universities and government should take the lead in the fight against cybercrime’ -
Dies natalis: ‘Collaboration requires firm grounding in the individual disciplines’ -
Archaeology thanks to computer-based research -
Self-learning machines for better understanding of the universe -
Free symposium reveals surprising uses of AI -
Hui Wang wins Best Paper Award at BNAIC 2018 -
With artificial intelligence to new physics -
Major Expansion Leiden Quantum Computing -
Developing quantum software with a grant of 18.8 million euros -
Netherlands' smallest supercomputer -
Unexpected data are good for business -
Sifting through data the smart way -
Leiden University and ICTU start research on software development -
Why fundamental science matters -
Leiden University partner in research on handwriting and image recognition -
Data science can reduce likelihood of virus outbreaks
Former PhD candidates
Prof.dr. Aske Plaat obtained his PhD in Artificial Intelligence from the University of Alberta, Edmonton, Canada. His work focused on search algorithms. After his graduation, he did post-doctoral research on the Cild system in combining supercomputing technologies group at the MIT Lab for Computer Science. In 1997 he was awarded the Izaak Walton Killam Memorial Postdoctoral Fellowship, and an NWO/SION grant to work with Henri Bal at the Vrije Universiteit Amsterdam on distributed algorithms for scalable computing.
With PI Jos Vermaseren (Nikhef) he is co-author of the HEPGAME project that was awarded a five-year Advanced Grant by the European Research Council (proposal) on 12/12/2012. HEPGAME uses machine learning algorithms to solve very complex high energy physics problems. In 2017 the Amsterdam-Leiden-Delft Quantum Software consortium received a 10 year NWO Gravitation grant, of which he leads the Quantum Machine Learning part.
Plaat has (co-)chaired and (co-)edited conferences on combinatorial algorithms, information management, and governance. He is a member of the board of the national SIKS research school for Artificial Intelligence and IPN Informatics Platform Netherlands. He was a member of the PRACE Access Committee.
In Leiden, he is a co-founder of the Computing Facility of Excellent Research (CFER), the Leiden Center of Data Science (LCDS), the Center for Computational Life Science (CCLS), and the university-wide initiative SAILS.
Research and education
Prof.dr. Plaat is head of the Reinforcement Learning Group. This group conducts research on intelligent combinatorial search algorithms and reinforcement learning.
From 2020 Plaat teaches the course Reinforcement Learning in the Master Computer Science. He also teaches the seminar on Advanced Deep Reinforcement Learning since the beginning of 2020.
Active projects
- Quantum Software Consortium
People: Vedran Dunjko, Carlo Beenakker, Dirk Bouwmeester, Harry Buhrman, Ronald Cramer, Ronald Hanson, Ronald de Wolf, Stephanie Wehner, Marcello Bonsangue, Aske Plaat
The ministry for Education, Culture, and Science has awarded a Gravitation grant for large-scale research on quantum software. This grant of 18.8 million euro unites researchers from QuSoft, CWI, Leiden University, QuTech, TU Delft, UvA and the VU in pursuing state of the art research programs in this new field. LIACS performs research into Quantum Machine Learning.
Funding: NWO 2017-2027
- Quantum Annealing Optimization Algorithms
People: Sheir Yarkoni, Florian Neukart, Thomas Bäck, Aske Plaat
Industry-relevant optimization problems may have many different forms, for example: continuous, stochastic, high-dimensional, and more. However, commercial quantum annealers can currently only solve QUBO problems, so problems need to be posed to the annealer in this form. Since finding an optimal transformation to QUBO is an NP-hard problem in itself, discovering efficient ways of generating QUBO forms for generic optimization problems is the first step in this research. We will also study Evolutionary Algorithms and Quantum Annealing.
Funding: LIACS & DWAVE 2017-
- Making Sense of Illustrated Handwritten Archives
People: Michiel Thijssen, Ernest Suyver, Maarten Heerlien, Lambert Schomaker, Lissa Roberts, Jaap van den Herik, Andreas Weber, Fons Verbeek, Michael Lew, Katy Wolstencroft, Lise Stork, Aske Plaat
Large and important parts of our cultural heritage are stored in archives that are difficult to access. The project aims to develop a technologically advanced and user-centered digital environment that provides access to archives containing handwritten notes and illustrations.
Funding: NWO Creative Industries and Brill Publishers, 2016-2020
- Grip on Software
People: Leon Helwerda, Aske Plaat, Fons Verbeek, Jeroen van der Leije, Frank Niessink
How can we further streamline the development of software for the government? Leiden University and ICTU are to investigate this in a joint research project that was launched on 6 July 2016. The Dutch government uses a lot of software – DigiD, for instance, or software to open and close bridges automatically. Much of that software is developed by ICTU, a Dutch government organization that helps other government institutions in the realization of digital services.
Funding: ICTU, 2016-2020
Professor of Data science
- Science
- Leiden Inst of Advanced Computer Science
- Huisman M., Plaat A. & Rijn J.N. van (2024), Subspace adaptation prior for few-shot learning, Machine Learning 113: 725–752.
- Meer M.T. van der, Liscio E., Jonker C.M., Plaat A., Vossen P.T.J.M. & Murukannaiah P.K. (2024), A hybrid intelligence method for argument mining, Journal of Artificial Intelligence Research 80: 1187-1222.
- Huisman M., Moerland T.M., Plaat A. & Rijn J.N. van (2023), Are LSTMs good few-shot learners?, Machine Learning 112: 4635–4662.
- Plaat A., Kosters W.A. & Preuss M. (2023), High-accuracy model-based reinforcement learning, a survey, Artificial Intelligence Review 56: 9541-9573.
- Moerland T.M., Broekens D.J., Plaat A. & Jonker C.M. (2023), Model-based reinforcement learning: a survey, Foundations and Trends in Machine Learning 16(1): 1-118.
- Wong A.S.W., Bäck T.H.W., Kononova A.V. & Plaat A. (2023), Deep multiagent reinforcement learning: challenges and directions, Artificial Intelligence Review 56: 5023-5056.
- Wang H., Emmerich M.T.M., Preuss M. & Plaat A. (2023), Analysis of hyper-parameters for AlphaZero-like deep reinforcement learning, International Journal of Information Technology and Decision Making 22(2): 829-853.
- Huisman M., Plaat A & Rijn J.N. van (2022), Stateless neural meta-learning using second-order gradients, Machine Learning 111: 3227–3244.
- Yang Z., Preuss M. & Plaat A. (2022), Transfer learning and curriculum learning in Sokoban. Leiva L.A., PUrski C., Markovich R., Najjar A. & Schommer C. (Eds.), Artificial Intelligence and Machine Learning. BNAIC/Benelearn 2021.. Artificial Intelligence and Machine Learning - 33rd Benelux Conference on Artificial Intelligence, BNAIC/Benelearn 2021 10 November 2021 - 12 November 2021 no. 1530. Cham: Springer. 187-200.
- Gómez-Maureira M.A. (2022), Academic games: mapping the use of video games in research contexts [Academic Games - Mapping the Use of Video Games in Research Contexts] (translation: Gómez Maureira M.A., Duin M. van, Rieffe C.J. & Plaat A.). Karpouzis K. & Gualeni S. (Eds.), FDG22: 17th international conference on the foundations of digital games. 17th International Conference on the Foundations of Digital Games 5 September 2022 - 9 September 2022: ACM.
- Moerland T.M., Broekens D.J., Plaat A. & Jonker C.M. (2022), A unifying framework for reinforcement learning and planning, Frontiers in Artificial Intelligence 5: 908353.
- Wang H., Preuss M., Emmerich M.T.M. & Plaat A. (2021), Tackling Morpion Solitaire with AlphaZero-like Ranked Reward Reinforcement Learning, 2020 22nd International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC). 2nd International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC) 1 September 2020 - 4 September 2020: IEEE. 149-152.
- Wang H., Preuss M. & Plaat A. (2021), Adaptive warm-start MCTS in AlphaZero-like deep reinforcement learning. Pham D.N., Theeramunkong T., Governatori G. & Liu F. (Eds.), PRICAI 2021: Trends in artificial intelligence. Pacific Rim International Conference on Artificial Intelligence 2021 8 November 2021 - 12 November 2021 no. LNCS-13033. Cham: Springer. 60-71.
- Müller-Brockhausen M.F.T., Preuss M. & Plaat A. (2021), A new challenge: approaching Tetris Link with AI, 2021 IEEE Conference on games (CoG). IEEE Conference on Games 17 August 2021 - 20 August 2021. Copenhagen: IEEE.
- Müller-Brockhausen M.F.T., Preuss M. & Plaat A. (2021), Procedural content generation: better benchmarks for transfer reinforcement learning, 2021 IEEE Conference on games (CoG). IEEE Conference on Games 17 August 2021 - 20 August 2021. Copenhagen: IEEE.
- Stork L., Weber A., Herik H.J. van den, Plaat A., Verbeek F.J. & Wolstencroft K.J. (2021), Large-scale zero-shot learning in the wild: classifying zoological illustrations, Ecological Informatics 62: 101222.
- Huisman M., Rijn J.N. van & Plaat A. (2021), A preliminary study on the feature representations of transfer learning and gradient-based meta-learning techniques, Fifth Workshop on Meta-Learning at the Conference on Neural Information Processing Systems. Fifth Workshop on Meta-Learning 13 December 2021 - 13 December 2021.
- Huisman M., Rijn J.N. van & Plaat A. (2021), A survey of deep meta-learning, Artificial Intelligence Review 54(6): 4483-4541.
- Wang H., Emmerich M.T.M., Preuss M. & Plaat A. (2020), Alternative loss functions in AlphaZero-like self-play, 2019 IEEE Symposium Series on Computational Intelligence (SSCI). 2019 IEEE Symposium Series on Computational Intelligence (SSCI) 6 December 2019 - 9 December 2019: IEEE. 155-162.
- Emmerich M.T.M., Nibbeling J., Kefalas M. & Plaat A. (2020), Multiple Node Immunisation for Preventing Epidemics on Networks by Exact Multiobjective Optimisation of Cost and Shield-Value no. 2010.06488. NY: Cornell University.
- Wang H., Preuss M. & Plaat A. (2020), Warm-start AlphaZero self-play search enhancements. Bäck T.W., Preuss M., Deutz A., Wang H., Doerr C., Emmerich M.T.M. & Trautmann H. (Eds.), Parallel Problem Solving from Nature – PPSN XVI. PPSN 2020. PPSN 2020 (16th International Conference on Parallel Problem Solving from Nature) 5 September 2020 - 9 September 2020 no. Lecture Notes in Computer Science, vol. 12270. Cham: Springer. 528-542.
- Yarkoni S., Wang H., Plaat A. & Bäck T.H.W. (2019), Boosting Quantum Annealing Performance Using Evolution Strategies for Annealing Offsets Tuning. Feld S. & Linnhoff-Popien C. (Eds.), Quantum Technology and Optimization Problems. QTOP 2019 18 March 2019 - 21 March 2019 no. LNCS 11413. Cham: Springer International Publishing. 157-168.
- Wang H., Bäck T.H.W., Plaat A., Emmerich M.T.M. & Preuss M. (2019), On the potential of evolution strategies for neural network weight optimization. Lopez-Ibanez M., Auger A. & Stützle T. (Eds.), Proceedings of the Genetic and Evolutionary Computation Conference Companion. GECCO 2019 13 July 2019 - 17 July 2019: ACM. 191-192.
- Wang H., Emmerich M.T.M. & Plaat A. (2019), Assessing the Potential of Classical Q-learning in General Game Playing. Atzmueller M. & Duivesteijn W. (Eds.), Artificial Intelligence. 30th Benelux Conference on Artificial Intelligence (BNAIC) 8 November 2018 - 9 November 2018 no. volume 1021. Cham: Springer. 138-150.
- Gómez Maureira M.A., Kniestedt I., Duijn M.J. van, Rieffe C. & Plaat A. (2019), Shinobi Valley: Studying curiosity for virtual spatial exploration through a video game. Arnedo J. & Nacke L.E. (Eds.), CHI PLAY '19 Extended Abstracts: Extended Abstracts of the Annual Symposium on Computer-Human Interaction in Play Companion Extended Abstracts. CHI Play'19. Annual Symposium on Computer-Human Interaction 22 October 2019 - 25 October 2019: Association for Computing Machinery. 421–428.
- Fuchs C., Murillo Mejias N.M., Plaat A., Kouwe E. van der & Stefanov T.P. (2019), Fault-Tolerant Nanosatellite Computing on a Budget, Proceedings of the International Conference on Radiation Effects on Components and Systems (RADECS'18)". Conference on Radiation Effects on Components and Systems (RADECS) 16 September 2018 - 21 September 2018.
- Stork L., Weber A., Gassó Miracle E., Verbeek F.J., Plaat A., Herik H.J. van den & Wolstencroft K.J. (2019), Semantic annotation of natural history collections, Journal of Web Semantics 59: 100462.
- Offerman T.D., Stettina C.J. & Plaat A. (2018), Business capabilities: a systematic literature review and a research agenda. Jardim-Goncalves R., Mendonca J.P., Pallot M., Zarli A., Martins J. & Margues M. (Eds.), 2017 International Conference on Engineering, Technology and Innovation (ICE/ITMC): Conference Proceedings 2017 International Conference on Engineering, Technology and Innovation (ICE/ITMC). 2017 International Conference on Engineering, Technology and Innovation (ICE/ITMC) 27 June 2017 - 29 June 2017: IEEE. 383-393.
- Fuchs C., Murillo Mejias N.M., Plaat A., Kouwe E. van der & Stefanov T.P. (2018), Dynamic Fault Tolerance Through Resource Pooling. Arslan T. & Merodio Codinachs D. (Eds.), 2018 NASA/ESA Conference on Adaptive Hardware and Systems (AHS). 2018 NASA/ESA Conference on Adaptive Hardware and Systems 6 August 2018 - 9 August 2018: IEEE. 9-16.
- Stork L., Weber A., Herik H.J. van den, Plaat A., Verbeek F.J. & Wolstencroft K.J. (2018), From handwritten manuscripts to linked data. Méndez E., Crestani F., Ribeiro C., David G. & Lopes J. (Eds.), Digital libraries for open knowledge. International Conference on Theory and Practice of Digital Libraries (TPLD) 2018 10 September 2018 - 13 September 2018. Lecture Notes in Computer Science no. 11057. Cham: Springer. 330-334.
- Wang H., Emmerich M.T.M. & Plaat A. (2018), Assessing the Potential of Classical Q-learning in General Game Playing.
- Wang H., Emmerich M.T.M. & Plaat A. (2018), Monte Carlo Q-learning for General Game Playing.
- Yarkoni S., Plaat A. & Bäck T.H.W. (2018), First results solving arbitrarily structured Maximum Independent Set problems using quantum annealing, 2018 IEEE Congress on Evolutionary Computation (CEC). 2018 IEEE Congress on Evolutionary Computation (CEC) 8 July 2018 - 13 July 2018: IEEE. 1-6.
- Boven B. van, Putten P.H.W. van der, Åström A., Khalafi H. & Plaat A. (2018), Real-Time Excavation Detection at Construction Sites using Deep Learning. Duivesteijn W., Siebes A. & Ukkonen A. (Eds.), Advances in Intelligent Data Analysis XVII 17th International Symposium, IDA 2018, ’s-Hertogenbosch, The Netherlands, October 24–26, 2018, Proceedings. International Symposium on Intelligent Data Analysis IDA 2018 24 October 2018 - 26 October 2018 no. Lecture Notes in Computer Science, volume 11191. Cham: Springer International Publishing. 340-352.
- Mirsoleimani S.A., Herik H.J. van den, Plaat A. & Vermaseren J. (2018), Pipeline Pattern for Parallel MCTS. Rocha A.P. & Herik H.J. van den (Eds.), Proceedings of the 10th International Conference on Agents and Artificial Intelligence - (Volume 2). ICAART 2018 : 10th International Conference on Agents and Artificial Intelligence 16 January 2018 - 18 January 2018: SciTePress. 614-621.
- Mirsoleimani S.A., Herik H.J. van den, Plaat A. & Vermaseren J. (2018), A Lock-free Algorithm for Parallel MCTS. Rocha A.P. & Herik H.J. van den (Eds.), Proceedings of the 10th International Conference on Agents and Artificial Intelligence - (Volume 2). ICAART 2018 : 10th International Conference on Agents and Artificial Intelligence 16 January 2018 - 18 January 2018: SciTePress. 589-598.
- Mechev A., Oonk R., Shimwell T., Plaat A., Intema H. & Rottgering H. (2018), Fast and Reproducible LOFAR Workflows with AGLOW, 2018 IEEE 14th International Conference on e-Science (e-Science). 2018 IEEE 14th International Conference on e-Science (e-Science) 29 October 2018 - 1 November 2018: IEEE. 136-144.
- Fuchs C., Murillo N.M., Plaat A., Kouwe E. van der & Wang P. (2018), Towards Affordable Fault-Tolerant Nanosatellite Computing with Commodity Hardware, 2018 IEEE 27th Asian Test Symposium (ATS). 27th IEEE Asian Test Symposium, ATS 2018 15 October 2018 - 18 October 2018: IEEE. 127-132.
- Mirsoleimani S.A., Plaat A., Herik H.J. van den & Vermaseren J. (2017), An Analysis of Virtual Loss in Parallel MCTS. Herik H.J. van den, Rocha A.P. & Filipe J. (Eds.), Proceedings of the 9th International Conference on Agents and Artificial Intelligence, Volume 2. ICAART 2017: 9th International Conference on Agents and Artificial Intelligence. 24 February 2017 - 26 February 2017: SCITEPRESS – Science and Technology Publications, Lda.. 648-652.
- Aa C.P.D.M. van der, Pollmann M.M.H., Plaat A. & Gaag R.J. van der (2016), Computer-mediated communication in adults with high-functioning Autism Spectrum Disorders and Controls, Research in Autism Spectrum Disorders 2016(23): 15-27.
- Mirsoleimani A., Plaat A., Herik H.J. van den & Vermaseren J. (2016), Ensemble UCT Needs High Exploitation. In: Herik H.J. van den & Filipse J. (Eds.), Proccedings of the 8th International Conference on Agents and Articicial Intelligence (ICAART 2016). International Conference on Agents and Artificial Intelligence (ICAART) no. 2. Rome, Italy: Scite Press, Science and Technology Publications, Lda.. 370-376.
- Kuindersma E., Pal J. van der, Herik H.J. van den & Plaat A. (2016), Comparing Voluntary and Mandatory Gameplay, International Journal of Serious Games 3(3): 67-83.
- Plaat A., Kosters W.A. & Herik H.J. van den (2016), Proceedings of the 9th International Conference on Computers and Games (CG2016). Lecture Notes in Computer Science no. 100068. Cham: Springer Verlag.
- Schomaker L., Weber A., Thijssen M., Heerlien M., Plaat A., Nijssen S.G.R., Verbeek F.J., Lew M.S.K., Gasso Micacle E., Wolstencroft K., Suyver E., Verheij B., Wiering M., Dekker M., Kok J., Roberts L. & Herik H.J. van den (2016), Making Sense of Illustrated Handwritten Archives, Digital Humanities 2016 Conference Abstracts. Digital Humanities 2016 11 July 2016 - 16 July 2016. Krakow: Jagiellonian University and Pedagogical University. 674-676.
- Kelle E., Plaat A., Wijst P. & Visser J. (2015), An Empirical Study into Social Success Factors for Agile Software Development, Proceedings BENEVOL 2014. .
- Ishitobi T., Plaat A., Lida H. & Herik H.J. van den (2015), Reducing the Seesaw Effect with Deep Proof-Number Search. Plaat A., Herik J. van den & Kosters W. (Eds.), Advances in Computer Games. ACG 2015. 14th International Conference Advances in Computer Games 2015 1 July 2015 - 3 July 2015 no. LNCS 9525. Cham: Springer. 185-187.
- Toubman A., Roessingh J.J., Spronck P., Plaat A. & Herik H.J. van den (2015), Transfer Learning of Air Combat Behavior, 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA). 14th IEEE International Conference on Machine Learning and Applications ICMLA2015 9 December 2015 - 11 December 2015: IEEE. 226-231.
- Mirsoleimani S.A., Plaat A., Herik H.J. van den & Vermaseren J. (2015), Parallel Monte Carlo Tree Search from Multi-core to Many-core Processors, 2015 IEEE Trustcom/BigDataSE/ISPA. 13th IEEE International Symposium on Parallel and Distributed Processing with Applications (IEEE ISPA-15) 20 August 2015 - 22 August 2015: IEEE. 77-83.
- Kuindersma E., Pal J. van der, Herik H.J. van den & Plaat A. (2015), Voluntary Play in Serious Games. Gloria A. de & Veltkamp R. (Eds.), Games and Learning Alliance. GALA 2015. 2015 Annual GALA Language of Business conference 22 March 2015 - 25 March 2015 no. LNCS 9599. Cham: Springer. 131-140.
- Toubman A., Roessingh J.J., Spronck P., Plaat A. & Herik H.J. van den (2015), Rewarding Air Combat Behavior in Training Simulations, 2015 IEEE International Conference on Systems, Man, and Cybernetics. IEEE International Conference on Systems, Man, and Cybernetics 2015 9 October 2015 - 12 October 2015: IEEE. 1397-1402.
- Mirsoleimani A., Plaat A., Herik H.J. van den & Vermaseren J. (2015), Scaling Monte Carlo Tree Search on Intel Xeon Phi, Proceedings of 21st IEEE International Conference on Parallel and Distributed Systems (ICPADS 2015). 21st IEEE International Conference on Parallel and Distributed Systems (ICPADS 2015) 14 December 2015 - 17 December 2015: IEEE.
- Plaat A., Herik H.J. van den & Kosters W.A. (Eds.) (2015), Proceedings of the 14th Advances in Computer Games Conference ACG2015 no. 9525: Springer.
- Toubman A., Roessingh J.J., Spronck P., Plaat A. & Herik H.J. van den (2015), Rewarding Air Combat Behavior in Training Simulations [Extended Abstract], Proceedings BNAIC 2015. The 27th Benelux Conference on Artificial Intelligence (BNAIC 2015) 5 November 2015 - 6 November 2015.
- Tekofsky S., Spronck P., Goudbeek M., Plaat A. & Herik H.J. van den (2015), Past Our Prime: A Study of Age & Play Style Development in Battlefield 3, IEEE Transactions on Computational Intelligence and AI in Games 7(3): 292-303.
- Mirsoleimani A, Plaat A, Vermaseren J & Herik H.J. van den (2014), Performance analysis of a 240 thread tournament level MCTS Go program on the Intel Xeon Phi, Proceedings European Simulation and Modelling Conference (ESM 2014). .
- Boer L., Plaat A. & Herik H.J. van den (2014), User-centered Design and a Single European Sky, Proceedings 28th European Simulation and Modelling Conference – ESM’2014. .
- Absalom R., Hartmann D., Luczak-Rösch M. & Plaat A. (2014), Crowd-Sourcing Fuzzy and Faceted Classification for Concept Search, Proceedings Collective Intelligence 2014. .
- Jonker C., Broekens J. & Plaat A. (2014), Virtual Reflexes, Proceedings 14th International Conference on Intelligent Virtual Agents. 222-231.
- Ruijl B., Vermaseren J., Plaat A. & Herik H.J. van den (2014), HEPGAME and the Simplification of Expressions, Proceedings 11th International Workshop on Boolean Problems. .
- Maggiore G., Santos C. & Plaat A. (2014), Smarter smartphones: understanding and predicting user habits from GPS sensor data, Proceedings 9th International Conference on Future Networks and Communications (MobiSPC-2104). .
- Herik H.J. van den, Iida H. & Plaat A. (Eds.) (2014), Proceedings 8th International Conference on Computers and Games (CG2013) no. 8427: Springer LNCS.
- Ruijl B., Plaat A., Vermaseren J. & Herik H.J. van den (2014), Why Local Search Excels in Expression Simplification.
- Herik H.J. van den, Plaat A., Levy D. & Dimov D. (2014), Plagiarism in Game Programming Competitions, Entertainment Computing 5(3): 173-187.