@book{Lam94,
  author = {Leslie Lamport},
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}

@article{WoJe95,
  title = {Intelligent Agents: Theory and Practice},
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}

@article{GrKr96,
  title = {Collaborative Plans for Complex Group Action},
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  year = {1996}
}

@Techreport{Har78,
  author =       "David Harel",
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  title =        "Logics of programs: axiomatics and descriptive power",
  institution =  "Massachusetts Institute of Technology",
  type =         "MIT Research Lab Technical Report",
  number =       "TR-200",
  address =      "Cambridge, MA",
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}

@Phdthesis{Cla85,
  author =       "Kenneth L. Clarkson",
  year =         "1985",
  title =        "Algorithms for Closest-Point Problems (Computational Geometry)",
  school =       "Stanford University",
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}

@misc{Oba08,
  author        = "Barack Obama",
  year          = "2008",
  title         = "A More Perfect Union",
  howpublished  = "Video",
  day           = "5",
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  month         = mar,
  lastaccessed  = "March 21, 2008",
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}

@misc{Sci09,
  author =       "Joseph Scientist",
  year =         "2009",
  title =        "The fountain of youth",
  note =         "Patent No. 12345, Filed July 1st., 2008, Issued Aug. 9th., 2009",
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@ArtifactDataset{AnMC13,
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}

@inproceedings{Hag1993,
title        = {Maintaining Discrete Probability Distributions Optimally},
author       = {Hagerup, Torben and Mehlhorn, Kurt and Munro, J. Ian},
booktitle    = {Proceedings of the 20th International Colloquium on Automata, Languages and Programming},
series       = {Lecture Notes in Computer Science},
volume       = {700},
pages        = {253--264},
year         = {1993},
publisher    = {Springer-Verlag},
address      = {Berlin}
}

@Book{Knu97,
  author =       "Donald E. Knuth",
  title =        "The Art of Computer Programming, Vol. 1: Fundamental Algorithms",
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  edition =      "3rd",
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}

@MASTERSTHESIS{Ani03,
    author = {David A. Anisi},
    title = {Optimal Motion Control of a Ground Vehicle},
    school = {Royal Institute of Technology (KTH), Stockholm, Sweden},
    intitution = {FOI-R-0961-SE, Swedish Defence Research Agency (FOI)},
    year = {2003},
}


------------------------------------------------------

@incollection{littman1994markov,
  title={Markov games as a framework for multi-agent reinforcement learning},
  author={Littman, Michael L},
  booktitle={Machine learning proceedings 1994},
  pages={157--163},
  year={1994},
  publisher={Elsevier}
}


@article{southey2012bayes,
  title={Bayes' bluff: Opponent modelling in poker},
  author={Southey, Finnegan and Bowling, Michael P and Larson, Bryce and Piccione, Carmelo and Burch, Neil and Billings, Darse and Rayner, Chris},
  journal={arXiv preprint arXiv:1207.1411},
  year={2012}
}

@inproceedings{van2016deep,
  title={Deep reinforcement learning with double q-learning},
  author={Van Hasselt, Hado and Guez, Arthur and Silver, David},
  booktitle={Proceedings of the AAAI conference on artificial intelligence},
  volume={30},
  year={2016}
}


%%%%%%%%%COLLUSION DETECTION%%%%%%%%%%%

@article{palshikar_collusion_2008,
	title = {Collusion set detection using graph clustering},
	volume = {16},
	number = {2},
	journal = {Data mining and knowledge Discovery},
	author = {Palshikar, Girish Keshav and Apte, Manoj M.},
	year = {2008},
	note = {Publisher: Springer},
	pages = {135--164}}
}

@inproceedings{yan_systematic_2005,
	title = {A systematic classification of cheating in online games},
	booktitle = {Proceedings of 4th {ACM} {SIGCOMM} workshop on {Network} and system support for games},
	author = {Yan, Jeff and Randell, Brian},
	year = {2005},
	pages = {1--9}}
}

@inproceedings{mazrooei_automating_2013,
	title = {Automating collusion detection in sequential games},
	volume = {27},
	booktitle = {Proceedings of the {AAAI} {Conference} on {Artificial} {Intelligence}},
	author = {Mazrooei, Parisa and Archibald, Christopher and Bowling, Michael},
	year = {2013},
	note = {Issue: 1}}
}

@inproceedings{murdoch_covert_2004,
	title = {Covert channels for collusion in online computer games},
	booktitle = {International {Workshop} on {Information} {Hiding}},
	publisher = {Springer},
	author = {Murdoch, Steven J. and Zieliński, Piotr},
	year = {2004},
	pages = {355--369}}
}

@inproceedings{smed_can_2006,
	title = {Can we prevent collusion in multiplayer online games},
	volume = {9},
	booktitle = {Proceedings of the {Ninth} {Scandinavian} {Conference} on {Artificial} {Intelligence}},
	author = {Smed, Jouni and Knuutila, Timo and Hakonen, Harri},
	year = {2006}}
}

@inproceedings{smed_towards_2007,
	title = {Towards {Swift} and {Accurate} {Collusion} {Detection}.},
	booktitle = {{GAMEON}},
	author = {Smed, Jouni and Knuutila, Timo and Hakonen, Harri},
	year = {2007},
	pages = {103--107}}
}


@inproceedings{hespanhol_hypothesis_2020,
	address = {New York, NY, USA},
	series = {{VALUETOOLS} '20},
	title = {Hypothesis {Testing} {Approach} to {Detecting} {Collusion} in {Competitive} {Environments}},
	isbn = {978-1-4503-7646-4},
	url = {https://doi.org/10.1145/3388831.3388847},
	doi = {10.1145/3388831.3388847},
	urldate = {2021-10-06},
	booktitle = {Proceedings of the 13th {EAI} {International} {Conference} on {Performance} {Evaluation} {Methodologies} and {Tools}},
	publisher = {Association for Computing Machinery},
	author = {Hespanhol, Pedro and Aswani, Anil},
	month = may,
	year = {2020},
	keywords = {algorithmic pricing, collusion, competition, hypothesis testing},
	pages = {35--40},
	file = {Full Text PDF:/Users/trevor/Zotero/storage/JW6WHC9S/Hespanhol and Aswani - 2020 - Hypothesis Testing Approach to Detecting Collusion.pdf:application/pdf},
}

@inproceedings{murdoch_covert_2005,
	address = {Berlin, Heidelberg},
	series = {Lecture {Notes} in {Computer} {Science}},
	title = {Covert {Channels} for {Collusion} in {Online} {Computer} {Games}},
	isbn = {978-3-540-30114-1},
	doi = {10.1007/978-3-540-30114-1_25},
	abstract = {Collusion between partners in Contract Bridge is an oft-used example in cryptography papers and an interesting topic for the development of covert channels. In this paper, a different type of collusion is discussed, where the parties colluding are not part of one team, but instead are multiple independent players, acting together in order to achieve a result that none of them are capable of achieving by themselves. Potential advantages and defences against collusion are discussed. Techniques designed for low-probability-of-intercept spread spectrum radio and multilevel secure systems are also applied in developing covert channels suitable for use in games. An example is given where these techniques were successfully applied in practice, in order to win an online programming competition. Finally, suggestions for further work are explored, including exploiting similarities between competition design and the optimisation of voting systems.},
	language = {en},
	booktitle = {Information {Hiding}},
	publisher = {Springer},
	author = {Murdoch, Steven J. and Zieliński, Piotr},
	editor = {Fridrich, Jessica},
	year = {2005},
	keywords = {Covert Channel, Equivalent Move, Game Strategy, Single Transferable Vote, Social Choice Function},
	pages = {355--369},
}

@inproceedings{yan_collusion_2010,
	title = {Collusion {Detection} in {Online} {Bridge}},
	url = {https://www.aaai.org/ocs/index.php/AAAI/AAAI10/paper/view/1942},
	abstract = {Collusion is a major unsolved security problem in online bridge: by illicitly exchanging card information over the telephone, instant messenger or the like, cheaters can gain huge advantages over honest players. It is very hard if not impossible to prevent collusion from happening. Instead, we motivate an AI-based detection approach and discuss its challenges. We challenge the AI community to create automated methods for detecting collusive traces left in game records with an accuracy that can be achieved by human masters.},
	language = {en},
	urldate = {2021-10-06},
	booktitle = {Twenty-{Fourth} {AAAI} {Conference} on {Artificial} {Intelligence}},
	author = {Yan, Jeff},
	month = jul,
	year = {2010},
	file = {Full Text PDF:/Users/trevor/Zotero/storage/W3JS2CKF/Yan - 2010 - Collusion Detection in Online Bridge.pdf:application/pdf;Snapshot:/Users/trevor/Zotero/storage/A8ZZV3MN/1942.html:text/html},
}

@inproceedings{laasonen_soft_2015,
	title = {Soft play detection in shooter games using hit matrix analysis},
	booktitle = {2015 7th {International} {Conference} on {Intelligent} {Technologies} for {Interactive} {Entertainment} ({INTETAIN})},
	publisher = {IEEE},
	author = {Laasonen, Jussi and Smed, Jouni},
	year = {2015},
	pages = {200--206},
	file = {Snapshot:/Users/trevor/Zotero/storage/T9XF29HJ/7325505.html:text/html},
}

@article{chen_conan_2020,
	title = {{CONAN}: {A} framework for detecting and handling collusion in crowdsourcing},
	volume = {515},
	shorttitle = {{CONAN}},
	journal = {Information Sciences},
	author = {Chen, Pengpeng and Sun, Hailong and Fang, Yili and Liu, Xudong},
	year = {2020},
	note = {Publisher: Elsevier},
	pages = {44--63},
	file = {Snapshot:/Users/trevor/Zotero/storage/SDFWWIDG/S002002551931120X.html:text/html},
}

@inproceedings{khudabukhsh_detecting_2014,
	title = {Detecting non-adversarial collusion in crowdsourcing},
	booktitle = {Second {AAAI} {Conference} on {Human} {Computation} and {Crowdsourcing}},
	author = {KhudaBukhsh, Ashiqur R. and Carbonell, Jaime G. and Jansen, Peter J.},
	year = {2014},
	file = {Full Text:/Users/trevor/Zotero/storage/G4UZ5GCB/KhudaBukhsh et al. - 2014 - Detecting non-adversarial collusion in crowdsourci.pdf:application/pdf;Snapshot:/Users/trevor/Zotero/storage/8UPA52FF/8967.html:text/html},
}

@inproceedings{yampolskiy_detecting_2008,
	title = {Detecting and controlling cheating in online poker},
	booktitle = {2008 5th {IEEE} {Consumer} {Communications} and {Networking} {Conference}},
	publisher = {IEEE},
	author = {Yampolskiy, Roman V.},
	year = {2008},
	pages = {848--853},
	file = {Snapshot:/Users/trevor/Zotero/storage/G7XHADRD/4446496.html:text/html},
}

@article{wachs2019network,
  title={A network approach to cartel detection in public auction markets},
  author={Wachs, Johannes and Kert{\'e}sz, J{\'a}nos},
  journal={Scientific reports},
  volume={9},
  number={1},
  pages={1--10},
  year={2019},
  publisher={Nature Publishing Group}
}

@inproceedings{kocsis2010fraud,
  title={Fraud detection by generating positive samples for classification from unlabeled data},
  author={Kocsis, Levente and Gy{\"o}rgy, Andr{\'a}s},
  booktitle={ICML 2010 Workshop on Machine Learning and Games},
  year={2010}
}

@inproceedings{allahbakhsh2013collusion,
  title={Collusion detection in online rating systems},
  author={Allahbakhsh, Mohammad and Ignjatovic, Aleksandar and Benatallah, Boualem and Beheshti, Seyed-Mehdi-Reza and Bertino, Elisa and Foo, Norman},
  booktitle={Asia-Pacific Web Conference},
  pages={196--207},
  year={2013},
  organization={Springer}
}
%%%%AUCTIONS%%%%%%%%%

@article{signor_collusion_2021,
	title = {Collusion {Detection} in {Infrastructure} {Procurement}: {A} {Modified} {Order} {Statistic} {Method} for {Uncapped} {Auctions}},
	shorttitle = {Collusion {Detection} in {Infrastructure} {Procurement}},
	journal = {IEEE Transactions on Engineering Management},
	author = {Signor, Regis and Ballesteros-Pérez, Pablo and Love, Peter ED},
	year = {2021},
	note = {Publisher: IEEE},
	file = {Snapshot:/Users/trevor/Zotero/storage/HLH7TMTL/9336335.html:text/html},
}

@article{bajari_detecting_2002,
	title = {Detecting collusion in procurement auctions},
	volume = {70},
	journal = {Antitrust LJ},
	author = {Bajari, Patrick and Summers, Garrett},
	year = {2002},
	note = {Publisher: HeinOnline},
	pages = {143},
}

@article{porter_detection_1993,
	title = {Detection of bid rigging in procurement auctions},
	volume = {101},
	number = {3},
	journal = {Journal of political economy},
	author = {Porter, Robert H. and Zona, J. Douglas},
	year = {1993},
	note = {Publisher: The University of Chicago Press},
	pages = {518--538},
	file = {Full Text:/Users/trevor/Zotero/storage/FSDBPAD7/Porter and Zona - 1993 - Detection of bid rigging in procurement auctions.pdf:application/pdf;Snapshot:/Users/trevor/Zotero/storage/QRWDKFHX/261885.html:text/html},
}

@article{kawai_detecting_2014,
	title = {Detecting large-scale collusion in procurement auctions},
	journal = {Available at SSRN 2467175},
	author = {Kawai, Kei and Nakabayashi, Jun},
	year = {2014},
	file = {Full Text:/Users/trevor/Zotero/storage/MD395I49/Kawai and Nakabayashi - 2014 - Detecting large-scale collusion in procurement auc.pdf:application/pdf;Snapshot:/Users/trevor/Zotero/storage/LZY2YIK8/papers.html:text/html},
}

@article{aryal_testing_2013,
	title = {Testing for collusion in asymmetric first-price auctions},
	volume = {31},
	number = {1},
	journal = {International Journal of Industrial Organization},
	author = {Aryal, Gaurab and Gabrielli, Maria F.},
	year = {2013},
	note = {Publisher: Elsevier},
	pages = {26--35},
	file = {Full Text:/Users/trevor/Zotero/storage/FSX6655W/S0167718712001129.html:text/html},
}

@article{signor_public_2020,
	title = {Public infrastructure procurement: detecting collusion in capped first-priced auctions},
	volume = {26},
	shorttitle = {Public infrastructure procurement},
	number = {2},
	journal = {Journal of Infrastructure Systems},
	author = {Signor, Regis and Love, Peter ED and Oliveira Jr, Acir and Lopes, Alan O. and Oliveira Jr, Pedro S.},
	year = {2020},
	note = {Publisher: American Society of Civil Engineers},
	pages = {05020002},
	file = {Full Text:/Users/trevor/Zotero/storage/TCF9ZE5P/Signor et al. - 2020 - Public infrastructure procurement detecting collu.pdf:application/pdf;Snapshot:/Users/trevor/Zotero/storage/386ZFAFQ/(ASCE)IS.1943-555X.html:text/html},
}

@article{hendricks_collusion_1989,
	title = {Collusion in auctions},
	journal = {Annales d'Economie et de Statistique},
	author = {Hendricks, Kenneth and Porter, Robert H.},
	year = {1989},
	note = {Publisher: JSTOR},
	pages = {217--230}
}

@article{morozov_collusion_2013,
	title = {Collusion detection in procurement auctions},
	volume = {25},
	journal = {Higher School of Economics Research Paper No. WP BPR},
	author = {Morozov, Ilya and Podkolzina, Elena A.},
	year = {2013}
}

@article{padhi_detection_2011,
	title = {Detection of collusion in government procurement auctions},
	volume = {17},
	number = {4},
	journal = {Journal of Purchasing and Supply Management},
	author = {Padhi, Sidhartha S. and Mohapatra, Pratap KJ},
	year = {2011},
	note = {Publisher: Elsevier},
	pages = {207--221},
	file = {Full Text:/Users/trevor/Zotero/storage/9IX8Z568/Padhi and Mohapatra - 2011 - Detection of collusion in government procurement a.pdf:application/pdf;Snapshot:/Users/trevor/Zotero/storage/BL9ESLGL/S1478409211000161.html:text/html},
}

@article{schurter_identification_2017,
	title = {Identification and inference in first-price auctions with collusion},
	journal = {Penn State Economics Working Paper},
	author = {Schurter, Karl},
	year = {2017},
	file = {Full Text:/Users/trevor/Zotero/storage/CZG6AA6C/Schurter - 2017 - Identification and inference in first-price auctio.pdf:application/pdf},
}

%%%%%%%%STOCK MARKET%%%%%%%%
@inproceedings{madurawe_collusion_2021,
	title = {Collusion {Set} {Detection} within the {Stock} {Market} using {Graph} {Clustering} \& {Anomaly} {Detection}},
	booktitle = {2021 {Moratuwa} {Engineering} {Research} {Conference} ({MERCon})},
	publisher = {IEEE},
	author = {Madurawe, Ranika N. and Jayaweera, BKD Irosh and Jayawickrama, Thamindu D. and Perera, Indika and Withanawasam, Rasika},
	year = {2021},
	pages = {450--455},
	file = {Snapshot:/Users/trevor/Zotero/storage/VDFU8XAD/9525724.html:text/html},
}

@inproceedings{islam_approach_2009,
	title = {An approach to improve collusion set detection using {MCL} algorithm},
	booktitle = {2009 12th {International} {Conference} on {Computers} and {Information} {Technology}},
	publisher = {IEEE},
	author = {Islam, Md Nazrul and Haque, SM Rafizul and Alam, Kaji Masudul and Tarikuzzaman, Md},
	year = {2009},
	pages = {237--242},
	file = {Full Text:/Users/trevor/Zotero/storage/DBF34ZRC/Islam et al. - 2009 - An approach to improve collusion set detection usi.pdf:application/pdf;Snapshot:/Users/trevor/Zotero/storage/R36SS7IZ/5407133.html:text/html},
}

@article{cao_detecting_2016,
	title = {Detecting {Wash} {Trade} in {Financial} {Market} {Using} {Digraphs} and {Dynamic} {Programming}},
	volume = {27},
	issn = {2162-2388},
	doi = {10.1109/TNNLS.2015.2480959},
	abstract = {A wash trade refers to the illegal activities of traders who utilize carefully designed limit orders to manually increase the trading volumes for creating a false impression of an active market. As one of the primary formats of market abuse, a wash trade can be extremely damaging to the proper functioning and integrity of capital markets. The existing work focuses on collusive clique detections based on certain assumptions of trading behaviors. Effective approaches for analyzing and detecting wash trade in a real-life market have yet to be developed. This paper analyzes and conceptualizes the basic structures of the trading collusion in a wash trade by using a directed graph of traders. A novel method is then proposed to detect the potential wash trade activities involved in a financial instrument by first recognizing the suspiciously matched orders and then further identifying the collusions among the traders who submit such orders. Both steps are formulated as a simplified form of the knapsack problem, which can be solved by dynamic programming approaches. The proposed approach is evaluated on seven stock data sets from the NASDAQ and the London Stock Exchange. The experimental results show that the proposed approach can effectively detect all primary wash trade scenarios across the selected data sets.},
	number = {11},
	journal = {IEEE Transactions on Neural Networks and Learning Systems},
	author = {Cao, Yi and Li, Yuhua and Coleman, Sonya and Belatreche, Ammar and McGinnity, Thomas Martin},
	month = nov,
	year = {2016},
	note = {Conference Name: IEEE Transactions on Neural Networks and Learning Systems},
	keywords = {Directed graph, dynamic programming, Dynamic programming, Feature extraction, Instruments, Learning systems, Manipulators, market abuse, Monitoring, Regulators, wash trade},
	pages = {2351--2363},
	file = {IEEE Xplore Full Text PDF:/Users/trevor/Zotero/storage/JB28LVVU/Cao et al. - 2016 - Detecting Wash Trade in Financial Market Using Dig.pdf:application/pdf;IEEE Xplore Abstract Record:/Users/trevor/Zotero/storage/X4M5SR9Q/7298451.html:text/html},
}

@article{harrington2008detecting,
  title={Detecting cartels},
  author={Harrington, Joseph E},
  journal={Handbook of antitrust economics},
  volume={213},
  pages={215--258},
  year={2008},
  publisher={MIT Press Cambridge y Londres}
}

@book{hamilton2011graph,
  title={A Graph-Theoretic Approach to Collusion Detection in Multi-Agent Systems},
  author={Hamilton, Peter Allen},
  year={2011},
  publisher={University of Maryland, Baltimore County}
}

@article{vanderknyff2009statistical,
  title={Statistical methods for user and team identification in multiplayer games},
  author={VanderKnyff, Christopher M and Bethea, Darrell J and Reiter, MMK and Whitton, Mary C},
  journal={tech. rep.},
  year={2009}
}

@inproceedings{yan2003security,
  title={Security design in online games},
  author={Yan, Jeff},
  booktitle={19th Annual Computer Security Applications Conference, 2003. Proceedings.},
  pages={286--295},
  year={2003},
  organization={IEEE}
}

@article{tampuu2017multiagent,
  title={Multiagent cooperation and competition with deep reinforcement learning},
  author={Tampuu, Ardi and Matiisen, Tambet and Kodelja, Dorian and Kuzovkin, Ilya and Korjus, Kristjan and Aru, Juhan and Aru, Jaan and Vicente, Raul},
  journal={PloS one},
  volume={12},
  number={4},
  pages={e0172395},
  year={2017},
  publisher={Public Library of Science San Francisco, CA USA}
}

@inproceedings{jaques2019social,
  title={Social influence as intrinsic motivation for multi-agent deep reinforcement learning},
  author={Jaques, Natasha and Lazaridou, Angeliki and Hughes, Edward and Gulcehre, Caglar and Ortega, Pedro and Strouse, DJ and Leibo, Joel Z and De Freitas, Nando},
  booktitle={International Conference on Machine Learning},
  pages={3040--3049},
  year={2019},
  organization={PMLR}
}

@article{celli2019coordination,
  title={Coordination in adversarial sequential team games via multi-agent deep reinforcement learning},
  author={Celli, Andrea and Ciccone, Marco and Bongo, Raffaele and Gatti, Nicola},
  journal={arXiv preprint arXiv:1912.07712},
  year={2019}
}

@article{arulkumaran2017deep,
  title={Deep reinforcement learning: A brief survey},
  author={Arulkumaran, Kai and Deisenroth, Marc Peter and Brundage, Miles and Bharath, Anil Anthony},
  journal={IEEE Signal Processing Magazine},
  volume={34},
  number={6},
  pages={26--38},
  year={2017},
  publisher={IEEE}
}

@inproceedings{bell2003co,
  title={The co-information lattice},
  author={Bell, Anthony J},
  booktitle={Proceedings of the Fifth International Workshop on Independent Component Analysis and Blind Signal Separation: ICA},
  volume={2003},
  year={2003},
  organization={Citeseer}
}