184:(M&S) is, in particular, interested in models that are used to support the implementation of an executable version on a computer. The execution of a model over time is understood as the simulation. While modeling targets the conceptualization, simulation challenges mainly focus on implementation, in other words, modeling resides on the abstraction level, whereas simulation resides on the implementation level. Following the ideas derived from the Levels of Conceptual Interoperability model (LCIM), Composability addresses the model challenges on higher levels,
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principle that deals with the inter-relationships of components. A highly composable system provides components that can be selected and assembled in various combinations to satisfy specific user requirements. In information systems, the essential features that make a component composable are that
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with network questions. Tolk proposes the following definitions: Interoperability allows exchanging information between the systems and using the information in the receiving system. Composability ensures the consistent representation of truth in all participating simulation systems of the
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theory, current literature distinguishes between
Composability of Models and Interoperability of Simulation. Modeling is understood as the purposeful abstraction of reality, resulting in the formal specification of a conceptualization and underlying assumptions and constraints.
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Interoperability, Composability, and their
Implications for Distributed Simulation - Towards Mathematical Foundations of Simulation Interoperability
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than non-composable systems because it is easier to evaluate their individual parts.
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System design principle that deals with the inter-relationships of components
279:. Proceedings DS-RT 2013 Conference, Delft, The Netherlands, October 2013
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systems can also be composable, but with greater difficulty.
260:'Principled Assuredly Trustworthy Composable Architectures'
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It is widely believed that composable systems are more
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