Models of robust human-human coordination can guide the design of adaptive and responsive human-robot systems. Here we test an artificial agent that embodies low- dimensional nonlinear dynamic equations derived from human behavior while completing a two-agent herding task, where the goal is to contain reactive spheres to the center of a target region. The model was able to complete the task alongside human novices in a virtual version of the experimental setup used in Nalepka and colleagues (submitted). Not only did the model lead participants to successful performance, but also 12 out of 18 participants reported that they believed their partner was a human participant in another room. The model was therefore able to capture the complex social behavior that defined robust task success in terms of lower dimensional dynamical equations that characterizes the emergent behavioral dynamics of embedded multiagent behavior.
|Title of host publication||Proceedings of the Artificial Life Conference 2016|
|Editors||Carlos Gershenson, Tom Froese, Jesus M. Siqueiros, Wendy Aguilar, Eduardo J. Izquierdo, Hiroki Sayama|
|Place of Publication||London|
|Number of pages||8|
|Publication status||Published - Jul 2016|
|Event||International Conference on the Synthesis and Simulation of Living Systems (15th : 2016) - Cancun, Mexico|
Duration: 4 Jul 2016 → 8 Jul 2016
|Name||Complex Adaptive Systems|
|Conference||International Conference on the Synthesis and Simulation of Living Systems (15th : 2016)|
|Abbreviated title||ALife 2016|
|Period||4/07/16 → 8/07/16|
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Nalepka, P., Lamb, M., Kallen, R. W., Shockley, K., Chemero, A., & Richardson, M. J. (2016). Bio-inspired artificial agent to complete a herding task with novices. In C. Gershenson, T. Froese, J. M. Siqueiros, W. Aguilar, E. J. Izquierdo, & H. Sayama (Eds.), Proceedings of the Artificial Life Conference 2016 (pp. 656-663). (Complex Adaptive Systems). London: MIT Press. https://doi.org/10.7551/978-0-262-33936-0-ch104