Centre for Human and Machine Intelligence

Focus topics of:
Jan Nagler, Lucas Böttcher & Gregory Wheeler

• D'Angelo, F., Böttcher, L., 2020. Learning the Ising Model with Generative Neutral Networks, Physical Review Research Vol. 2(2), pp. 1-15.
• Nagler, J., Hoven, J., Helbing, D. An Extension of Asimov´s Robotics Laws, in: Dirk Helbing (ed): Towards Digital Enlightenment, Cham: Springer, pp. 41-46 (2018)
• Gregory Wheeler (2021). Discounting Desirable Gambles, Proceedings of Machine Learning Research 147: 331-341, 2021.
• Arthur Paul Pedersen and Gregory Wheeler (2018). Dilation and Asymmetric Relevance, Proceedings of Machine Learning Research 103: 324--326, 2019.
• Gregory Wheeler (2017). Machine Epistemology and Big Data, in Lee MacIntyre and Alex Rosenberg (Eds.), The Routledge Companion to Philosophy of Social Science, New York: Routledge, pp. 321-329, 2017.

Focus topics of:
Jan Nagler, Lucas Böttcher & Pia Domschke
 

• Wald, S., Böttcher, L., 2021. From classical to quantum walks with stochastic resetting on networks, Physical Review E Vol. 103(1).
• Richter, P., Henkel, M., Böttcher, L., 2020. Aging and relaxation in bistable contagion dynamics, Physical Review E Vol. 102(4).
• Böttcher, L., 2020. A Random-Line-Graph Approach to Overlapping Line Segments, Journal of Complex Networks Vol. 8, pp. 1-8.
• Böttcher, L., Antulov-Fantulin, N., 2020. Unifying continuous, discrete, and hybrid susceptible-infected-recovered processes on networks, Physical Review Research Vol. 2(3).
• Nauer, S., Böttcher, L., Porter, M., 2019. Random-Graph Models and Characterization of Granular Networks, Journal of Complex Networks Vol. 7, pp. 1-27.
• Böttcher, L., Herrmann, H., Henkel, M., 2018. Dynamical universality of the contact process, Journal of Physics A Vol. 51(12).
• Böttcher, L., Nagler, J., Herrmann, H., 2017. Critical behaviors in contagion dynamics, Physical Review Letters Vol. 118(8).
• Böttcher, L., Lukovic, M., Nagler, J., Havlin, S., Herrmann, H., 2017. Failure and recovery in dynamical networks, Scientific Reports Vol. 7.
• Fan, Meng, Liu, Saberi, Kurths, Nagler, Universal gap scaling in percolation, Nature Phys. 16: 455 (2020).
• D'Souza, R., Gómez-Gardeñes, J., Nagler, J., Arenas, A. Explosive phenomena in complex networks, Adv. in Phys. 68(3):123-223 (2019).
• Timme, M., Nagler, J. Propagation patterns unravelled, Nature Phys., Vol. 15, pp. 308-309 (2019).
• Böttcher, M. Lukovic, J. Nagler, S. Havlin, H.J. Herrmann, Failure and recovery in dynamical networks, Sci. Rep. 7: 41729 (2017).
• Chen, J. Nagler, X. Fu, Information dissemination in social-featured opportunistic networks. In: Social Network Analysis: Interdisciplinary Approaches and Case Studies 10(15):309-342, CRC Press (2017).
• Schröder, S. Chakraborty, D. Witthaut, J. Nagler, M. Timme, Interaction Control to Synchronize Non-synchronizable Networks, Sci. Rep. 6: 37142 (2016).
• Schröder, W. Chen, J. Nagler, Discrete scale invariance in supercritical percolation, New J. Phys. 18: 013042 (2016).
• D’Souza and J. Nagler, Anomalous critical and supercritical phenomena in explosive percolation, Nature Physics, 11: 531 (2015);
• Chen, M. Schröder, R. M. D'Souza, D. Sornette, J. Nagler, Micro-transition Cascades to Percolation, Phys. Rev. Lett. 112: 155701 (2014)
• Chen, X. Cheng, Z. Zheng, N.N. Chung, R.M. D'Souza, J. Nagler, Unstable supercritical discontinuous percolation transitions, Phys. Rev. E 88: 042152 (2013).
• Chen, J. Nagler, X. Cheng, X. Jin, H. Shen, Z. Zheng, and R. M. D'Souza, Phase transitions in supercritical explosive percolation, Phys. Rev. E 87: 052130 (2013).
• Schröder, H.E. Rabari, and J. Nagler, Crackling noise in fractional percolation, Nature Commun. 3: 2222 (2013)
• Nagler, T. Tiessen, H.W. Gutch, Continuous percolation with discontinuities, Phys. Rev. X 2: 031009 (2012)
• Nagler, A. Levina, M. Timme, Impact of single links in competitive percolation, Nature Physics 7: 265-270 (2011); accompanied by media coverage.
• Y.S. Cho, M.G. Mazza, B. Kahng, J. Nagler, Genuine non-self-averaging and ultra-slow convergence in gelation, Phys. Rev. E 94:022602 (2016)
• A. Saberi, S. H. Ebrahimnazhad Rahbari, H. Dashti-Naserabadi, A. Abbasi, Y. S. Cho, J. Nagler, Universality in boundary domain growth by sudden bridging, Sci. Rep. 6: 21110 (2016).
• Domschke, P., Lang, J., Strauch, E., 2021. Adaptive Single- and Multilevel Stochastic Collocation Methods for Uncertain Gas Transport in Large-Scale Networks, arXiv:2012.03565
• Domschke, P., Kolb, O., Lang, J., 2021. Fast and Reliable Transient Simulation and Continuous Optimization of Large-Scale Gas Networks. arXiv:2012.02737
• Mindt, P., Lang, J., Domschke, P., 2019. Entropy-Preserving Coupling of Hierarchical Gas Models, SIAM Journal of Mathematical Analysis Vol. 51(6), pp. 4754-4775.
• Domschke, P., Dua, A., Stolwijk, J., Lang, J., Mehrmann, V., 2018. Adaptive refinement strategies for the simulation of gas flow in networks using a model hierarchy, Electronic Transactions on Numerical Analysis Vol. 48, pp. 97-113.
• Domschke, P., Kolb, O., Lang, J., 2016. Adaptive Modelling, Simulation and Optimization of Gas and Water Supply Networks, Proceedings in Applied Mathematics and Mechanics Vol. 16(1), pp. 839-840.
• Domschke, P., Kolb, O., Lang, J., 2015. Adjoint-based error control for the simulation and optimization of gas and water supply networks, Applied Mathematics and Computation Vol. 259, pp. 1003-1018.
• Domschke, P., Kolb, O., Lang, J., 2011. Adjoint-based control of model and discretisation errors for gas flow in networks, International Journal of Mathematical Modelling and Numerical Optimisation Vol. 2(2), p. 175.
• Domschke, P., Geissler, B., Kolb, O., Lang, J., Martin, A., Morsi, A., 2011. Combination of Nonlinear and Linear Optimization of Transient Gas Networks, INFORMS Journal on Computing Vol. 23(4), pp. 493-655.
• Domschke, P., Kolb, O., Lang, J., 2010. An adaptive model switching and discretization algorithm for gas flow on networks, Procedia Computer Science Vol. 1(1), pp. 1331-1340.
• Kolb, O., Domschke, P., Lang, J., 2010. Modified QR decomposition to avoid non-uniqueness in water supply networks with extension to adjoint calculus, Procedia Computer Science Vol. 1(1), pp. 1427-1434.
• Kolb, O., Lang, J., Bales, P., Domschke, P., 2010. An implicit box scheme for subsonic compressible flow with dissipative source term, Numerical Algorithms Vol. 53(2-3), pp. 293-307.

Focus topics of:
Jan Nagler
 

• Schröder, M., Nagler, J., Timme, M., Witthaut, D. Hysteretic percolation from locally optimal individual decisions, Phys. Rev. Lett.120(24) (2018)
• Schröder, N.A.M. Araújo, D. Sornette, J. Nagler, Controlling percolation with limited resources, Phys. Rev. E 96: 062302 (2017).
• Timme, J. Nagler, Network Dynamics: Growth, Risk, Design and Control - Mathematical Concepts for “intelligent” self-organizing processes in Nature and Technology. In: Yearbook 2014 of the Max Planck Society.
• Verma, N.A.M. Araujo, J. Nagler, J.S. Andrade Jr. and H.J. Herrmann, Model for the growth of the World Airline Network, Int. J. Mod. Phys. C 27(12): 1650141 (2016).
• T. Verma, F. Russmann, N.A.M Araujo, J. Nagler, H. J. Herrmann, Emergence of core-peripheries in networks, Nature Comm. 7: 10441 (2016)

Focus topics of:
Jan Nagler, Lucas Böttcher & Rainer Hegselmann

• Böttcher, L., Gersbach, H., 2020. The Great Divide: Drivers of Polarization in the US Public, EPJ Data Science Vol. 9(32), pp. 1-13.
• Böttcher, L., Montealegre, P., Goles, E., Gersbach, H., 2020. Competing activists - Political polarization, Physica A Vol. 545.
• Hoferer, M., Böttcher, L., Herrmann, H., Gersbach, H., 2020. The impact of technologies in political campaigns, Physica A Vol. 538.
• Böttcher, L., Herrmann, H., Gersbach, H., 2018. Clout, activists and budget: The road to presidency, PLoS ONE.
• Böttcher, L., Woolley-Meza, O., Brockmann, D., 2017. Temporal dynamics of online petitions, PLoS ONE Vol. 12(5).
• Böttcher, L., Araujo, N., Nagler, J., Mendes, J., Helbing, D., Herrmann, H., 2016. Gender Gap in the ERASMUS Mobility Program, PLoS ONE Vol. 11(2).
• Mani, R., Böttcher, L., Herrmann, H., Helbing, D., 2014. Extreme power law in a driven many-particle system without threshold dynamics, Physical Review E Vol. 90(4).
• Zhu, X. Fu, W. Li, S. Lu, J. Nagler, Population growth in online social networks. In: Social Network Analysis: Interdisciplinary Approaches and Case Studies 10(15):285-306, CRC Press (2017).
• Zhu, W. Li, X. Fu, J. Nagler, How do online social networks grow? PLoS One, 9(6):e100023 (2014).
• Böttcher, N. A. M. Araújo, J. Nagler, J. F. F. Mendes, D. Helbing, H. J. Herrmann, Gender Gap in the ERASMUS Mobility Program, PLoS One 11(2):e0149514 (2016).

Focus topics of:
Ronald Klingebiel & Jan Nagler
 

• Klingebiel, R., Rammer, C., 2021. Optionality and selectiveness in innovation, Academy of Management Discoveries. (forthcoming) Klingebiel, R., 2018. Risk-type preference shifts in response to performance feedback, Strategic Organization Vol. 16(2), pp. 141-166.
• Klingebiel, R., Joseph, J., 2016. Entry timing and innovation strategy in feature phones, Strategic Management Journal Vol. 37(6), pp. 1002-1020.
• Klingebiel, R., Adner, R., 2015. Real options logic revisited: the performance effects of alternative resource allocation regimes, Academy of Management Journal Vol. 58(1), pp. 221-242.
• Klingebiel, R., Rammer, C., 2014. Resource allocation strategy for innovation portfolio management, Strategic Management Journal Vol. 35(2), pp. 246-268.
• Klingebiel, R., de Meyer, A., 2013. Becoming aware of the unknown: decision making during the implementation of a strategic initiative, Organization Science Vol. 24(1), pp. 133-153.
• Peter Collins, Karolina Krzyzanowska, Stephan Hartmann, Gregory Wheeler and Ulrike Hahn (2020). Conditionals and Testimony (with), Cognitive Psychology 122, November 2020, 101329.
• Gregory Wheeler (2020). Less is More for Bayesians, Too. Routledge Handbook on Bounded Rationality, Riccardo Viale (Ed.). New York: Routledge.
• Lee Elkin and Gregory Wheeler  (2018). Resolving Peer Disagreements Through Imprecise Probabilities, Noûs 52(2): 260–94, 2018.
• Arthur Paul Pedersen and Gregory Wheeler (2015). Dilation, Distintegrations, and Delayed Decisions, Proceedings of the 9th International Symposium on Imprecise Probability: Theories and Applications, Pescara, Italy: 227-236, 2015.
• Arthur Paul Pedersen and Gregory Wheeler  (2014). Demystifying Dilation, Erkenntnis 79(6): 1305-1342, 2014.

Focus topics of:
Jan Nagler & Lucas Böttcher

• Böttcher, L., Xia, M., Chou, T., 2020. Why case fatality ratios can be misleading: individual- and population-based mortality estimates and factors influencing them, Physical Biology Vol. 17(6), pp. 1-14.
• Xu, S., Böttcher, L., Chou, T., 2019. Diversity in Biology: definitions, quantification, and models, Physical Biology Vol. 16.
• Böttcher, L., Andrade Jr., J., Herrmann, H., 2017. Targeted Recovery as an Effective Strategy against Epidemic Spreading, Scientific Reports Vol. 7.
• Böttcher, L., Woolley-Meza, O., Goles, E., Helbing, D., Herrmann, H., 2016. Connectivity disruption sparks explosive epidemic spreading, Physical Review E Vol. 93.
• Böttcher, L., Woolley-Meza, O., Araujo, N., Herrmann, H., Helbing, D., 2015. Disease-induced resource constraints can trigger explosive epidemics, Scientific Reports Vol. 5(16571).
• Böttcher, J. Nagler, H.J. Herrmann, Critical behaviors in contagion dynamics, Phys. Rev. Lett. 118: 088301 (2017).
• D. Lamouroux, J. Nagler, T. Geisel, S. Eule, Paradoxical effects of coupling infectious livestock populations and imposing transport restrictions, Proc. R. Soc. B (London): 2015282, 20142805 (2014), accompanied with an MPI DS press release.

Focus topics of:
Pia Domschke

• Hodgkinson, A., Chaplain, M., Domschke, P., Trucu, D., 2018. Computational Approaches and Analysis for a Spatio-Structural-Temporal Invasive Carcinoma Model, Bulletin of Mathematical Biology Vol. 80(4), pp. 701-737.
• Domschke, P., Trucu, D., Gerisch, A., Chaplain, M., 2017. Structured models of cell migration incorporating molecular binding processes, Journal of Mathematical Biology Vol. 75(6-7), pp. 1517-1561.
• Domschke, P., Trucu, D., Gerisch, A., Chaplain, M., 2014. Mathematical modelling of cancer invasion: implications of cell adhesion variability for tumour infiltrative growth patterns, Journal of Theoretical Biology Vol. 361, pp. 41-60.

Focus topics of:
Jan Nagler & Gregory Wheeler
 

• Nagler, J., Stollmeier, F. Long-Term Behavior in Evolutionary Dynamics from Ergodicity Breaking, in: Complex Networks X: Proceedings of the 10th Conference on Complex Networks CompleNet 2019, Cham: Springer, pp. 85-95 (2019).
• Stollmeier, J. Nagler, Unfair and anomalous evolutionary dynamics from fluctuating payoffs, Phys. Rev. Lett. 120: 058101 (2018).
• Zimmer, P., Kruse, K., Nagler, J. Anomalous percolation features in molecular evolution, Phys. Rev. E Vol. 98(2) (2018)
• M.A. Böttcher, J. Nagler, Promotion of cooperation by selective group extinction,  New J. Phys. 18: 063008 (2016).
• Stollmeier, T. Geisel, J. Nagler, Possible Origin of Stagnation and Variability of Earth's Biodiversity, Phys. Rev. Lett. 112: 228101 (2014)
• Lamouroux, S. Eule, T. Geisel, J. Nagler, Discriminating the effects of spatial extent and population size in cyclic competition among species, Phys. Rev. E 86: 021911 (2012).
• S. Uppaluri, J. Nagler, E. Stellamanns, N. Heddergott, S. Herminghaus, and T. Pfohl, Impact of Microscopic Motility on the Swimming Behavior of Parasites: Straighter Trypanosomes are More Directional, PLoS Comput. Biol. 7(6): e1002058 (2011)

Gregory Wheeler and Fabio Cozman  (2022). On the Imprecision of Full Conditional Probabilities, Synthese, in press.Gregory Wheeler (2021). Moving Beyond Sets of Probabilities, Statistical Science 36(2): 201--204, 2021.

Conor Mayo-Wilson and Gregory Wheeler (2016). Scoring Imprecise Credences: A Mildly Immodest Proposal, Philosophy and Phenomenological Research 93(1):55-78, 2016.

Rolf Haenni, Jan-Wilem Romejn, Gregory Wheeler, and Jon Williamson  (2011). Probabilistic Logics and Probabilistic Networks The Synthese Library, Springer, 2011.