Abstract
In this paper we formulate basic principles of cognitive human-robot team dynamics following lessons from experimental neuroscience: 1) the cognitive team dynamics in a changing complex environment is transient and can be considered as a temporal sequence of metastable states; 2) the human mental resources –attention and working memory capacity that are available for the processing of sensory and robot generated information in relation to a specific goal– are finite; 3) the interactive cognitive team activity is robust against noise and at the same time sensitive to information from the environment. We suggest a basic dynamical model that describes the evolution of human cognitive and emotion modes and robot information modes together with the dynamics of mental resources. Using this model we have analyzed the team’s dynamical instability, introduced the dynamical description of the information flow capacity, and analyzed the features of the binding dynamics of information flows.
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Rabinovich, M.I., Varona, P. (2012). The Dynamical Modeling of Cognitive Robot-Human Centered Interaction. In: Prescott, T.J., Lepora, N.F., Mura, A., Verschure, P.F.M.J. (eds) Biomimetic and Biohybrid Systems. Living Machines 2012. Lecture Notes in Computer Science(), vol 7375. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31525-1_20
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DOI: https://doi.org/10.1007/978-3-642-31525-1_20
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