Merge pull request #1227 from Axelrod-Python/marcharper-patch-3

Reorder citations by year and then alphabetically

Author: meatballs

citations.md

@@ -1,18 +1,21 @@
 # Citations
 
-* Skiba, Grażyna, et al. "Flexible asynchronous simulation of iterated prisoner’s dilemma based on actor model." Simulation Modelling Practice and Theory 83 (2018): 75-92.
+### 2018
+
 * Goodman, Aaron. "Learning Implicit Communication Strategies for the Purpose of Illicit Collusion." arXiv preprint arXiv:1802.06036 (2018). [ArXiv](https://arxiv.org/abs/1802.06036)
-* Wang, Shiheng, and Fangzhen Lin. "Invincible Strategies of Iterated Prisoner's Dilemma." arXiv preprint arXiv:1712.06488 (2017). [ArXiv](https://arxiv.org/abs/1712.06488)
-* Hayes, Victoria. The Evolution of Cooperation: A Recreation of Axelrod's Computer Tournament. The University of North Carolina at Greensboro, (2017). [PDF](http://libres.uncg.edu/ir/uncg/f/Hayes_uncg_0154M_12243.pdf)
-* Moura, Jose, and David Hutchison. "Game Theory for Multi-Access Edge Computing: Survey, Use Cases, and Future Trends." arXiv preprint arXiv:1704.00323 (2017). [ArXiv](https://arxiv.org/abs/1704.00323)
-* Nicolas, Anastassacos and Mirco, Musolesi. "Learning through Probing: a decentralized reinforcement learning architecture for social dilemmas."arXiv preprint arXiv:1809.10007 (2018). [ArXiv](https://arxiv.org/abs/1809.10007)
+* Knight, Vincent, et al. "Evolution Reinforces Cooperation with the Emergence of Self-Recognition Mechanisms: an empirical study of the Moran process for the iterated Prisoner's dilemma."  PLoS ONE 13(10) (2018): e0204981. [PLOS](https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0204981)
 * Latorre, Julian F. and Ospina, Juan Pablo and Ortiz, Jorge E.. "A Coalitional Game for Achieving Emergent Cooperation in Ad Hoc Networks Through Sympathy and Commitment." Springer (2018). [Springer](https://link.springer.com/chapter/10.1007/978-3-030-00350-0_30)
+* Moura, Jose, and David Hutchison. "Game Theory for Multi-Access Edge Computing: Survey, Use Cases, and Future Trends." IEEE Communications Surveys & Tutorials (2018). [IEEE CS&T](https://ieeexplore.ieee.org/abstract/document/8424815) [ArXiv](https://arxiv.org/abs/1704.00323)
 * Neumann, Shai and Sood, Suraj and Hollander, Markus et al. "Using Bots in Strategizing Group Compositions to Improve Decision--Making Processes" Springer (2018). [Springer](https://link.springer.com/chapter/10.1007/978-3-319-91467-1_24)
+* Nicolas, Anastassacos and Mirco, Musolesi. "Learning through Probing: a decentralized reinforcement learning architecture for social dilemmas."arXiv preprint arXiv:1809.10007 (2018). [ArXiv](https://arxiv.org/abs/1809.10007)
+* Skiba, Grażyna, et al. "Flexible asynchronous simulation of iterated prisoner’s dilemma based on actor model." Simulation Modelling Practice and Theory 83 (2018): 75-92.
+* Wang, Shiheng, and Fangzhen Lin. "Invincible Strategies of Iterated Prisoner's Dilemma." arXiv preprint arXiv:1712.06488 (2017). [ArXiv](https://arxiv.org/abs/1712.06488)
 
-## By the maintainers
-
+### 2017
 
-* Knight, Vincent, et al. "Evolution Reinforces Cooperation with the Emergence of Self-Recognition Mechanisms: an empirical study of the Moran process for the iterated Prisoner's dilemma."  PLoS ONE 13(10) (2018): e0204981. [PLOS](https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0204981)
+* Hayes, Victoria. The Evolution of Cooperation: A Recreation of Axelrod's Computer Tournament. The University of North Carolina at Greensboro, (2017). [PDF](http://libres.uncg.edu/ir/uncg/f/Hayes_uncg_0154M_12243.pdf)
 * Harper, Marc, et al. "Reinforcement learning produces dominant strategies for the Iterated Prisoner’s Dilemma." PloS one 12.12 (2017): e0188046.  [PLOS](http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0188046)
-* Knight, Vincent Anthony, et al. "An open framework for the reproducible study of the iterated prisoner's dilemma." Journal of Open Research Software 4.1 (2016). [ArXiv](https://arxiv.org/abs/1604.00896)
 
+### 2016
+
+* Knight, Vincent Anthony, et al. "An open framework for the reproducible study of the iterated prisoner's dilemma." Journal of Open Research Software 4.1 (2016). [JORS](https://openresearchsoftware.metajnl.com/articles/10.5334/jors.125/) [ArXiv](https://arxiv.org/abs/1604.00896)