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Game Theory, Crowd Dynamics, Innovation, Cascade Spreading, and Disaster Response Management
(includes contributions on the proportional imitation rule, self-organized conventions, as well as the co-evolution of spatio-temporal social organization and cooperation in mobility games)
1. Proportional Imitation Rule and Microscopic Foundation of Game-Dynamical Equations for Social Systems
- D. Helbing (1998) Microscopic foundation of stochastic game dynamical equations. Pages 211-224 in: W. Leinfellner and E. Köhler (eds.) Game Theory, Experience, Rationality (Kluwer Academic, Dordrecht).
- D. Helbing (1992) Interrelations between stochastic equations for systems with pair interactions. Physica A 181, 29-52.
2. Self-Organization of Behavioral Conventions in Coordination Games; Spontaneous Symmetry-Breaking and Preferred Side of Walking
- D. Helbing (1992) A mathematical model for behavioral changes by pair interactions. Pages 330-348 in: G. Haag, U. Mueller, and K. G. Troitzsch (eds.) Economic Evolution and Demographic Change. Formal Models in Social Sciences (Springer, Berlin).
- D. Helbing (1991) A mathematical model for the behavior of pedestrians. Behavioral Science 36, 298-310.
- D. Helbing (1990) Physikalische Modellierung des dynamischen Verhaltens von Fußgängern [Physics-Based Modeling of the Dynamic Behavior of Pedestrians, in German] (Master's thesis, Georg-August University Göttingen).
- D. Helbing, P. Molnár, I. Farkas, and K. Bolay (2001) Self-organizing pedestrian movement. Environment and Planning B 28, 361-383.
- M. Moussaïd, D. Helbing, S. Garnier, A. Johansson,M. Combe, and G. Theraulaz (2009) Experimental study of the behavioral mechanisms underlying self-organization in human crowds. Proceedings of the Royal Society B 276, 2755–2762.
3. Stochastic Formulation of Game-Dynamical and Other Sociologically Relevant Equations
- D. Helbing (1993) Stochastic and Boltzmann-like models for behavioral changes, and their relation to game theory. Physica A 193, 241-258.
- D. Helbing (1996) A stochastic behavioral model and a `microscopic' foundation of evolutionary game theory. Theory and Decision 40, 149-179.
- D. Helbing (1996) Survival analysis, master equation, efficient simulation of path-related quantities, and hidden state concept of transitions (peer-reviewed). Pages: 179-207 in: K. G. Troitzsch, U. Mueller, G. N. Gilbert, and J. E. Doran (eds.) Social Science Microsimulation (Springer, Berlin).
- D. Helbing, M. Treiber, and N. J. Saam (2005) Analytical investigation of innovation dynamics considering stochasticity in the evaluation of fitness. Physical Review E 71, 067101.
4. Migration, Success-Driven Motion, and Spatio-Temporal Pattern Formation
- D. Helbing and T. Platkowski (2002) Drift- or fluctuation-induced ordering and self-organisation in driven many-particle systems. Europhysics Letters 60, 227-233.
- D. Helbing and T. Platkowski (2000) Self-organization in space and induced by fluctuations. International Journal of Chaos Theory and Applications 5(4), 47-62.
- D. Helbing and T. Vicsek (1999) Optimal self-organization. New Journal of Physics 1, 13.1-13.17.
- D. Helbing (1994) A mathematical model for the behavior of individuals in a social field. Journal of Mathematical Sociology 19(3), 189-219.
5. Spatio-Temporal Pattern Formation and Cooperation
- T. Chadefaux and D. Helbing (2010) How wealth accumulation can promote cooperation. PLoS one 5(10): e13471.
- D. Helbing and W. Yu (2009) The outbreak of cooperation among success-driven individuals under noisy conditions. Proceedings of the National Academy of Sciences USA (PNAS) 106(8), 3680-3685.
- W. Yu and D. Helbing (2009) Game theoretical interactions of moving agents [preprint arXiv].
- D. Helbing (2009) Pattern formation, social forces, and diffusion instability in games with success-driven motion. European Physical Journal B 67, 345–356.
- D. Helbing and W. Yu (2008) Migration as a mechanism to promote cooperation. Advances in Complex Systems 11(4) 641 - 652.
6. Experimental Games with Many Iterations; Emergence of Turn-Taking (Alternating Cooperation) in the Route Choice Dilemma Game
- D. Helbing and W. Yu (2010) The future of social experimenting. PNAS 107(12), 5265-5266.
- D. Helbing, M. Schönhof, H.-U. Stark, and J. A. Holyst (2005) How individuals learn to take turns: Emergence of alternating cooperation in a congestion game and the prisoner's dilemma. Advances in Complex Systems 8, 87-116.
- D. Helbing, M. Schönhof, and D. Kern (2002) Volatile decision dynamics: Experiments, stochastic description, intermittency control, and traffic optimization. New Journal of Physics 4, 33.1-33.16.
7. Evolution of Norms and Spreading of Costly Punishment
- D. Helbing and A. Johansson (2010) Evolutionary dynamics of populations with conflicting interactions: Classification and analytical treatment considering asymmetry and power. Phys. Rev. E 81, 016112.
- D. Helbing, A. Szolnoki, M. Perc, and G. Szabó (2010) Punish, but not too hard: how costly punishment spreads in the spatial public goods game. New J. Phys. 12, 083005.
- D. Helbing, A. Szolnoki, M. Perc, and G. Szabó(2010) Defector-accelerated cooperativeness and punishment in public goods games with mutations. Physical Review E 81(5), 057104.
- D. Helbing and A. Johansson (2010) Evolutionary dynamics of populations with conflicting interactions: Classification and analytical treatment considering asymmetry and power. Physica E 81, 016112.
- D. Helbing, A. Szolnoki, M. Perc, andG. Szabó (2010) Evolutionary Establishment of Moral and Double Moral Standards through Spatial Interactions. PLoS Computational Biology 6(4), e1000758.
8. Opinion Formation
- J. Lorenz,H. Rauhut,F. Schweitzer, andD. Helbing (2011) How social influence can undermine the wisdom of crowd effect(preprint link). Proceedings of the National Academy of Sciences USA (PNAS).
- M. Mäs, A.Flache, and D. Helbing (2010) Individualization as driving force of clustering phenomena in humans. PLoS Comput Biol 6(10), e1000959.
- D. Helbing (1994) A mathematical model for behavioral changes by pair interactions and its relation to game theory. Angewandte Sozialforschung 18(3), 117-132.
- D. Helbing (1993) Boltzmann-like and Boltzmann-Fokker-Planck equations as a foundation of behavioral models. Physica A 196, 546-573.
- D. Helbing (1992) A mathematical model for attitude formation by pair interactions. Behavioral Science 37, 190-214.
9. Collective Behavior, Swarm Intelligence, Crowd Behavior, and Pedestrians
- M. Moussaid, N. Perozo, S. Garnier, D. Helbing, and G. Theraulaz (2010) The walking behaviour of pedestrian social groups and its impact on crowd dynamics. PLoS one 5(4),e10047.
- M. Moussaid, S. Garnier, G. Theraulaz and D. Helbing (2009) Collective Information Processing and Pattern Formation in Swarms, Flocks, and Crowds. Topics in Cognitive Science 1(3), 469-497.
- J. R. G. Dyer, A. Johansson, D. Helbing, I. D. Couzin and J. Krause (2009) Leadership, consensus decision making and collective behaviour in humans. Philosophical Transactions of the Royal Society B 364, 781-789.
- I. Farkas, D. Helbing, and T. Vicsek (2002) Mexican waves in an excitable medium. Nature 419, 131-132.
- A. Dussutour, V. Fourcassié, D. Helbing, and J.-L. Deneubourg (2004) Optimal traffic organization in ants under crowded conditions. Nature 428, 70-73.
- T. Seidel, J. Hartwig, R.L. Sanders and D. Helbing (2008) An agent-based approach to self-organized production. Pages 219-252 in: C. Blum and D. Merkle (eds.) Swarm Intelligence - Introduction and Applications (Springer, Berlin).
- W. Weidlich and D. Helbing (1998) A mathematical model of group dynamics including the effects of solidarity. Pages 139-196 in: P. Doreian and T. Fararo (eds.) The Problem of Solidarity: Theories and Models (Gordon and Breach, London).
- A. Johansson, D. Helbing, H. Z. A-Abideen, andS. Al-Bosta (2008) From crowd dynamics to crowd safety: A video-based analysis. Advances in Complex Systems 11(4), 497-527.
- D. Helbing, A. Johansson, and H. Z. Al-Abideen (2007) The dynamics of crowd disasters: An empirical study. Physical Review E 75, 046109.
- D. Helbing, L. Buzna, A. Johansson, and T. Werner (2005) Self-organized pedestrian crowd dynamics: Experiments, simulations, and design solutions. Transportation Science 39(1), 1-24.
- D. Helbing, I. Farkas, and T. Vicsek (2000) Simulating dynamical features of escape panic. Nature 407, 487-490.
- D. Helbing, J. Keltsch, and P. Molnár (1997) Modelling the evolution of human trail systems. Nature 388, 47-50.
- D. Helbing and P. Molnár (1995) Social force model for pedestrian dynamics. Physical Review E 51, 4282-4286.
- D. Helbing (1992) A fluid-dynamic model for the movement of pedestrians. Complex Systems 6, 391-415.
- D. Helbing (1991) A mathematical model for the behavior of pedestrians. Behavioral Science 36, 298-310.
10. Cascade-Like Spreading and Disaster Response Management
- R. Carvalho, L. Buzna, F. Bono, M. Masera, D.K. Arrowsmith, D. Helbing (2014) Resilience of natural gas networks during conflicts, crises and disruptions. PLoS One 9(3): e90265
- D. Brockmann and D. Helbing (2013) The hidden geometry of complex, network-driven contagion phenomena. Science 342(6164), 1337–1342.
- D. Helbing (2013): Globally networked risks and how to respond. Nature 497, 51–59.
- D. Helbing (2009) Systemic risks in society and economics. Santa Fe Instituteworking paper.
- D. Helbing (2009) Managing complexity in socio-economic systems. European Review 17, 423-438.
- L. Buzna, K. Peters, H. Ammoser, C. Kühnert, and D. Helbing (2007) Efficient response to cascading disaster spreading. Physical Review E 75, 056107.
- K. Peters, L. Buzna, and D. Helbing (2008) Modelling of cascading effects and efficient response to disaster spreading in complex networks. Int. J. Critical Infrastructures 4(1/2), 46-62.
- I. Simonsen, L. Buzna, K. Peters, S. Bornholdt, and D. Helbing (2008) Transient dynamics increasing network vulnerability to cascading failures. Physical Review Letters 100, 218701.
- D. Helbing, H. Ammoser, and C. Kühnert (2006) Information flows in hierarchical networks and the capability of organizations to successfully respond to failures, crises, and disasters. Physica A 363, 141-150.
- D. Helbing and C. Kühnert (2003) Assessing interaction networks with applications to catastrophe dynamics and disaster management. Physica A 328, 584-606.
11. Innovation
- A. Mazloumian, Y-H. Eom, D. Helbing, S. Lozano, S. Fortunato (2011) How citation boosts promote scientific paradigm shifts and Nobel Prizes. PLoS ONE 6(5), e18975.
- L. M. A. Bettencourt, J. Lobo, D. Helbing, C. Kühnert, and G. B. West (2007) Growth, innovation, scaling and the pace of life in cities. Proceedings of the national Academy of Sciences USA (PNAS) 104, 7301-7306.
- D. Helbing, M. Treiber, and N. J. Saam (2005) Analytical investigation of innovation dynamics considering stochasticity in the evaluation of fitness. Physical Review E 71, 067101.
12. Books and Reviews
- D. Helbing and A. Johansson (2009) Pedestrian, Crowd and Evacuation Dynamics. In: Meyers Encyclopedia of Complexity and Systems Science (Springer, Berlin).
- D. Helbing, C. Kühnert, S. Lämmer, A. Johansson, B. Gehlsen, H. Ammoser and G.B. West (2009) Power laws in urban supply networks, social systems, and dense pedestrian crowds. Pages 433-450 in: D. Lane, S. van der Leeuw, D. Pumain, andG. West (eds.) Complexity perspectives in innovation and social change (Springer, Berlin Heidelberg, New York).
- D. Helbing, ed. (2008) Managing Complexity: Insights, Concepts, Applications (Springer, Berlin).
- D. Helbing, H. Ammoser, and C. Kühnert (2005) Disasters as extreme events and the importance of network interactions for disaster response management. Pages 319-348. in: S. Albeverio, V. Jentsch, and H. Kantz (eds.) Extreme Events in Nature and Society (Springer, Berlin).
- D. Helbing (2004) Dynamic decision behavior and optimal guidance through information services: Models and experiments. Pages 47-95 in: M. Schreckenberg and R. Selten (eds.) Human Behaviour and Traffic Networks (Springer, Berlin).
- D. Helbing and W. Weidlich (1995) Quantitative Soziodynamik: Gegenstand, Methodik, Ergebnisse und Perspektiven. Kölner Zeitschrift für Soziologie und Sozialpsychologie 47(1), 114-140.
- D. Helbing (1995) Quantitative Sociodynamics. Stochastic Methods and Models of Social Interaction Processes (Kluwer Academic, Dordrecht).
- D. Helbing (1992) Stochastische Methoden, nichtlineare Dynamik und quantitative Modelle sozialer Prozesse [Stochastic Methods, Non-Linear Dynamics, and Quantitative Models of Social Processes, see "Quantitative Sociodynamics (1995) for an English translation] (PhD thesis, University of Stuttgart. Published by Shaker, Aachen, 1993, 2nd ed. 1996).
- For further publications on game theory, click here.
- For further publications on pedestrian and crowd dynamics, click here.
- Videos and simulations related to the above subjects can be found here.
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!!! Dieses Dokument stammt aus dem ETH Web-Archiv und wird nicht mehr gepflegt !!!
!!! This document is stored in the ETH Web archive and is no longer maintained !!!
!!! This document is stored in the ETH Web archive and is no longer maintained !!!
