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MODEL CHECKING AND STATE MACHINES
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Bartels, F., Sokolova, A., & de Vink, E. (2003). A hierarchy of probabilistic system types. Electronic Notes in Theoretical Computer Science, 82(1), 57–75. https://doi.org/10/d7kq38
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Fages, F., Calzone, L., & Soliman, S. (2006). BIOCHAM: an environment for modeling biological systems and formalizing experimental knowledge. Bioinformatics, 22(14), 1805–1807. https://doi.org/10/dfv
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Desharnais, J., Edalat, A., & Panangaden, P. (2002). Bisimulation for Labelled Markov Processes. Information and Computation, 179(2), 163–193. https://doi.org/10/fmp9vd
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Murfet, D., & Clift, J. (2019). Derivatives of Turing machines in Linear Logic. ArXiv:1805.11813 [Math]. Retrieved from http://arxiv.org/abs/1805.11813
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van Breugel, F., Mislove, M., Ouaknine, J., & Worrell, J. (2005). Domain theory, testing and simulation for labelled Markov processes. Theoretical Computer Science, 333(1), 171–197. https://doi.org/10/ft9vc5
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Fages, F., Martinez, T., Rosenblueth, D. A., & Soliman, S. (2018). Influence Networks Compared with Reaction Networks: Semantics, Expressivity and Attractors. IEEE/ACM Trans. Comput. Biol. Bioinformatics, 15(4), 1138–1151. https://doi.org/10/ggdf94
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Murfet, D., Clift, J., Doryn, D., & Wallbridge, J. (2019). Logic and the $2$-Simplicial Transformer. ArXiv:1909.00668 [Cs, Stat]. Retrieved from http://arxiv.org/abs/1909.00668
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Serafini, L., & Garcez, A. d’Avila. (2016). Logic Tensor Networks: Deep Learning and Logical Reasoning from Data and Knowledge. ArXiv:1606.04422 [Cs]. Retrieved from http://arxiv.org/abs/1606.04422
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Dong, H., Mao, J., Lin, T., Wang, C., Li, L., & Zhou, D. (2019). Neural Logic Machines. ArXiv:1904.11694 [Cs, Stat]. Retrieved from http://arxiv.org/abs/1904.11694
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Graves, A., Wayne, G., & Danihelka, I. (2014). Neural Turing Machines. ArXiv:1410.5401 [Cs]. Retrieved from http://arxiv.org/abs/1410.5401
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Sokolova, A. (2011). Probabilistic systems coalgebraically: A survey. Theoretical Computer Science, 412(38), 5095–5110. https://doi.org/10/frbx24
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Boutillier, P., Feret, J., Krivine, J., & Fontana, W. (n.d.). The Kappa Language and Kappa Tools, 52.
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Boutillier, P., Maasha, M., Li, X., Medina-Abarca, H. F., Krivine, J., Feret, J., … Fontana, W. (2018). The Kappa platform for rule-based modeling. Bioinformatics, 34(13), i583–i592. https://doi.org/10/gdrhw6
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Rutten, J. J. M. M. (2000). Universal coalgebra: a theory of systems. Theoretical Computer Science, 249(1), 3–80. https://doi.org/10/fqrjpn
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