Abstract
Modeling and Simulation is highly important to robotics. Modeling is creating a conceptualization that is implemented by the simulation. As such the insights are directly applicable to planning and decision logic of autonomous systems for complex situations. When autonomous systems collaborate, they not only need to be interoperable, i.e. able to exchange data and utilize service calls, but also composable, i.e. provide a consistent interpretation of truth. The collaboration of autonomous systems can happen in a multi-, inter-, or trans-disciplinary context, depending on the maturity level of interoperability that is defined in this chapter using the Levels of Conceptual Interoperability Model (LCIM). The results are coherent with the NATO Net-enabled Capability Command and Control Maturity Model (N2C2M2) that can show the degree of interoperation with and among autonomous systems. Finally, several computational constraints are discussed that limit the ability of autonomous systems: incompleteness, decidability, computational complexity, and their implications for the applicability of self-organizing command and control for autonomous systems.
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Tolk, A. (2015). Modeling and Simulation Interoperability Concepts for Multidisciplinarity, Interdisciplinarity, and Transdisciplinarity – Implications for Computational Intelligence Enabling Autonomous Systems. In: Hodicky, J. (eds) Modelling and Simulation for Autonomous Systems. MESAS 2015. Lecture Notes in Computer Science(), vol 9055. Springer, Cham. https://doi.org/10.1007/978-3-319-22383-4_5
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