Recent Trends in Algebraic Development Techniques
DOI: 10.1007/978-3-540-71998-4_4
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Autonomous Units and Their Semantics - The Parallel Case

Abstract: Communities of autonomous units are rule-based and graph-transformational devices to model data-processing systems that may consist of distributed and mobile components. The components may communicate and interact with each other, they may link up to ad-hoc networks. In this paper, we introduce and investigate the parallel-process semantics of communities of autonomous units.

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Cited by 8 publications
(8 citation statements)
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“…In this sense, a graph transformation unit is a centralized computational entity. The concept of autonomuous units (see, e.g., [26][27][28]) is a generalization to a decentralized processing of graphs. The autonomuous units in a community act, interact, and communicate in a common environment, with each of them controling its own activities autonomuously.…”
Section: Further Research and Related Workmentioning
confidence: 99%
“…In this sense, a graph transformation unit is a centralized computational entity. The concept of autonomuous units (see, e.g., [26][27][28]) is a generalization to a decentralized processing of graphs. The autonomuous units in a community act, interact, and communicate in a common environment, with each of them controling its own activities autonomuously.…”
Section: Further Research and Related Workmentioning
confidence: 99%
“…In [4] a sequential semantics is given, but it is not fully adequate for the pickup and delivery problem because several trucks may move simultaneously and several packages may be loaded and reloaded at the same time. Hence, we adopt the parallel semantics introduced in [9]. But since private states and used transformation units were not considered in [9], we have to generalize the parallel semantics.…”
Section: Semanticsmentioning
confidence: 99%
“…Hence, we adopt the parallel semantics introduced in [9]. But since private states and used transformation units were not considered in [9], we have to generalize the parallel semantics.…”
Section: Semanticsmentioning
confidence: 99%
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