collective behaviour; communication through movement; Dance improvisation; explore–exploit decision-making; pitchfork bifurcation; replicator-mutator and co-evolutionary dynamics; Co-evolutionary; Collective behaviour; Communication through movement; Pitch-fork bifurcations; Social Sciences (miscellaneous); History and Philosophy of Science; Physics - Physics and Society; cs.SY; Mathematics - Dynamical Systems
Abstract :
[en] We studied social decision-making in the rule-based improvisational dance There Might Be Others, where dancers make in-the-moment compositional choices. Rehearsals provided a natural test-bed with communication restricted to non-verbal cues. We observed a key artistic explore–exploit tension in which the dancers switched between exploitation of existing artistic opportunities and riskier exploration of new ones. We investigated how the rules influenced the dynamics using rehearsals together with a model generalized from evolutionary dynamics. We tuned the rules to heighten the tension and modelled nonlinear fitness and feedback dynamics for mutation rate to capture the observed temporal phasing of the dancers' exploration-versus-exploitation. Using bifurcation analysis, we identified key controls of the tension and showed how they could shape the decision-making dynamics of the model much like turning a ‘dial’ in the instructions to the dancers could shape the dance. The investigation became an integral part of the development of the dance.
Disciplines :
Social & behavioral sciences, psychology: Multidisciplinary, general & others
Author, co-author :
Özcimder, Kayhan; Department of Mechanical and Aerospace Engineering, Princeton University, Princeton, United States
Dey, Biswadip; Department of Mechanical and Aerospace Engineering, Princeton University, Princeton, United States
Franci, Alessio ; Université de Liège - ULiège > Département d'électricité, électronique et informatique (Institut Montefiore) > Brain-Inspired Computing ; Department of Mathematics, National Autonomous University of Mexico, Mexico City, Mexico
Lazier, Rebecca; Program in Dance, Lewis Center for the Arts, Princeton University, Princeton, United States
Trueman, Daniel; Department of Music, Princeton University, Princeton, United States
Leonard, Naomi Ehrich ; Department of Mechanical and Aerospace Engineering, Princeton University, Princeton, United States
Language :
English
Title :
Social decision-making driven by artistic explore–exploit tension
Office of the Dean for Research at Princeton University UNAM - National Autonomous University of Mexico [MX]
Funding text :
This research was supported in part by a grant for Artists and Scientists or Engineers from the Office of the Dean for Research at Princeton University.Dan Trueman is a composer, fiddler, and electronic musician. Dan’s collaborators include: So Percussion, fiddler Caoimhín Ó Raghallaigh, guitarist Monica Mugan, the JACK Quartet, singer Iarla Ó Lionáird, bitKlavierist Adam Sliwinski, choreographer Rebecca Lazier, scientist Naomi Leonard, the Princeton Laptop Orchestra, Eighth Blackbird, and others. His work has been recognized by the Guggenheim Foundation, the Barlow Endowment, the Bessies, the Fulbright Commission, the American Composers Forum, the American Council of Learned Societies, Meet the Composer, among others. He is Professor of Music and Director of the Princeton Sound Kitchen at Princeton University, where he teaches counterpoint, electronic music, and composition.
Carl, R., 2009. Terry Riley's In C. Oxford: Oxford University Press.
Clemente, K., 1990. “Playing with Performance: The Element of the Game in Experimental Dance and Theater.” The Journal of Popular Culture XXIV: 1–10. doi: 10.1111/j.0022-3840.1990.2403_1.x
Cohen, J. D., S. M., McClure, and A. J., Yu. 2007. “Should I Stay Or Should I Go? How the Human Brain Manages the Trade-Off Between Exploitation and Exploration.” Philosophical Transactions of the Royal Society of London B: Biological Sciences 362 (1481): 933–942. http://rstb.royalsocietypublishing.org/content/362/1481/933. doi: 10.1098/rstb.2007.2098
Conradt, L., and T. J., Roper. 2003. “Group Decision-Making in Animals.” Nature 421: 155–158. doi: 10.1038/nature01294
Couzin, I. D., J., Krause, N. R., Franks, and S. A., Levin. 2005. “Effective Leadership and Decision-Making in Animal Groups on the Move.” Nature 433: 513–516. doi: 10.1038/nature03236
Dey, B., A., Franci, K., Özcimder, and N. E., Leonard. 2018. “Feedback Controlled Bifurcation of Evolutionary Dynamics with Generalized Fitness.” Proceedings of the American Control Conference (ACC), Milwaukee, WI, June 27–29, 6049–6054.
Dyer, J. R. G., 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: Biological Sciences 364 (1518): 781–789. doi: 10.1098/rstb.2008.0233
Fehr, E., and C. F., Camerer. 2007. “Social Neuroeconomics: The Neural Circuitry of Social Preferences.” Trends in Cognitive Sciences 11: 419–427. doi: 10.1016/j.tics.2007.09.002
Gray, R., A., Franci, V., Srivastava, and N. E., Leonard. 2018. “Multiagent Decision-Making Dynamics Inspired by Honeybees.” IEEE Transactions on Control of Network Systems 5 (2): 793–806. doi: 10.1109/TCNS.2018.2796301
Greening, B. R., Jr, N., Pinter-Wollman, and N. H., Fefferman. 2015. “Higher-Order Interactions: Understanding the Knowledge Capacity of Social Groups Using Simplicial Sets.” Current Zoology 61: 114–127. doi: 10.1093/czoolo/61.1.114
Guimerà, R., B., Uzzi, J., Spiro, and L. A., Nunes Amaral. 2005. “Team Assembly Mechanisms Determine Collaboration Network Structure and Team Performance.” Science 308: 697–702. doi: 10.1126/science.1106340
Kalathil, D., N., Nayyar, and R., Jain. 2014. “Decentralized Learning for Multiplayer Multiarmed Bandits.” IEEE Transactions on Information Theory 60 (4): 2331–2345. doi: 10.1109/TIT.2014.2302471
Kaufmann, E., O., Cappé, and A., Garivier. 2012. “On Bayesian Upper Confidence Bounds for Bandit Problems.” International Conference on Artificial Intelligence and Statistics, La Palma, Canary Islands, Spain, April, 592–600.
Kirsh, D., 2011. “Creative Cognition in Choreography.” Proceedings of the 2nd International Conference on Computational Creativity, Mexico City, Mexico, April 27–29, 1–6.
Kolla, R. V., K., Jagannathan, and A., Gopalan. 2016. “Stochastic Bandits on a Social Network: Collaborative Learning with Local Information Sharing.” CoRR. http://arxiv.org/abs/1602.08886.
Komarova, N. L., and S. A., Levin. 2010. “Eavesdropping and Language Dynamics.” Journal of Theoretical Biology 264 (1): 104–118. doi: 10.1016/j.jtbi.2010.01.010
Krebs, J. R., A., Kacelnik, and P., Taylor. 1978. “Test of Optimal Sampling by Foraging Great Tits.” Nature 275 (5675): 27–31. doi: 10.1038/275027a0
Lai, T. L., and H., Robbins. 1985. “Asymptotically Efficient Adaptive Allocation Rules.” Advances in Applied Mathematics 6 (1): 4–22. doi: 10.1016/0196-8858(85)90002-8
Landgren, P., V., Srivastava, and N. E., Leonard. 2016. “Distributed Cooperative Decision-Making in Multiarmed Bandits: Frequentist and Bayesian Algorithms.” Proceedings of the IEEE Conference on Decision and Control (CDC), Las Vegas, NV, December 12–14, 167–172.
Lazier, R., 2017. There Might Be Others at The Scotia Music Festival. https://vimeo.com/236973952.
Lazer, D., and A., Friedman. 2007. “The Network Structure of Exploration and Exploitation.” Administrative Science Quarterly 52: 667–694. doi: 10.2189/asqu.52.4.667
Lazier, R., D., Trueman, M., Baranova, and L., DeSilva-Johnson. 2016. There Might Be Others. Operating System.
Lee, D., 2008. “Game Theory and Neural Basis of Social Decision Making.” Nature Neuroscience 11 (4): 404–409. doi: 10.1038/nn2065
Leonard, N. E., T., Shen, B., Nabet, L., Scardovi, I. D., Couzin, and S. A., Levin. 2012. “Decision Versus Compromise for Animal Groups in Motion.” Proceedings of the National Academy of Sciences 109 (1): 227–232. doi: 10.1073/pnas.1118318108
Leonard, N. E., G. F., Young, K., Hochgraf, D. T., Swain, A., Trippe, W., Chen, K., Fitch, and S., Marshall. 2014. “In the Dance Studio: An Art and Engineering Exploration of Human Flocking.” In Controls and Art, edited by Amy LaViers and Magnus Egerstedt, 51–72. Springer. https://arxiv.org/abs/1808.07842.
Mason, W., and D. J., Watts. 2009. “Collaborative Learning in Networks.” Proceedings of the National Academy of Sciences 109 (3): 764–769. doi: 10.1073/pnas.1110069108
Meunier, H., J. B., Leca, J. L., Deneubourg, and O., Petit. 2006. “Group Movement Decisions in Capuchin Monkeys.” Behaviour 143: 1511–1527. doi: 10.1163/156853906779366982
Nowak, M., 2006. Evolutionary Dynamics: Exploring the Equations of Life. Cambridge, MA: Harvard University Press.
Nowak, M., N. L., Komarova, and P., Niyogi. 2001. “Evolution of Universal Grammar.” Science 291: 114–118. doi: 10.1126/science.291.5501.114
Olfati-Saber, R., J. A., Fax, and R. M., Murray. 2007. “Consensus and Cooperation in Networked Multi-Agent Systems.” Proceedings of the IEEE 95: 215–233. doi: 10.1109/JPROC.2006.887293
Özcimder, K., B., Dey, R. J., Lazier, D., Trueman, and N. E., Leonard. 2016. “Investigating Group Behavior in Dance: An Evolutionary Dynamics Approach.” Proceedings of the American Control Conference (ACC), Montreal, CA, July 6–8, 6465–6470.
Pais, D., C. H., Caicedo-Núñez, and N. E., Leonard. 2012. “Hopf Bifurcations and Limit Cycles in Evolutionary Network Dynamics.” SIAM Journal on Applied Dynamical Systems 11 (4): 1754–1784. doi: 10.1137/120878537
Reed, S. Alexander., 2011. “In C on Its Own Terms: A Statistical and Historical View.” Perspectives of New Music 49 (1): 47–78. doi: 10.7757/persnewmusi.49.1.0047
Saari, D. G., 2001. Decisions and Elections: Explaining the Unexpected. Cambridge: Cambridge University Press.
Sanfey, A. G., 2007. “Social Decision-making: Insights from Game Theory and Neuroscience.” Science 318 (5850): 598–602. doi: 10.1126/science.1142996
Seeley, T. D., and S. C., Buhrman. 1999. “Group Decision Making in Swarms of Honey Bees.” Behavioral Ecology and Sociobiology 45: 19–31. doi: 10.1007/s002650050536
Sen, A. K., 1970. Collective Choice and Social Welfare. San Francisco, CA: Holden-Day.
Traulsen, A., J. C., Claussen, and C., Hauert. 2006. “Coevolutionary Dynamics in Large, But Finite Populations.” Physical Review E 74: 011901.
Villar, S. S., J., Bowden, and J., Watson. 2015. “Multi-armed Bandit Models for the Optimal Design of Clinical Trials: Benefits and Challenges.” Statistical Science 30 (2): 199–215. doi: 10.1214/14-STS504
