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Complexity Analysis of Task Dependencies in an Artificial Hormone System

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2021

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Gesellschaft für Informatik, Bonn

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The Artificial Hormone System (AHS) is a self-organizing tool able to allocate tasks in a distributed system. We extend the AHS in this paper by negator hormones to enable conditional task structures and provide a thorough complexity analysis of the resulting system. The analysis shows that the problem to decide if a given task A is instantiated at all respecting the negators is NP-complete.

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Hutter, Eric; Pacher, Mathias; Brinkschulte, Uwe (2021): Complexity Analysis of Task Dependencies in an Artificial Hormone System. INFORMATIK 2020. DOI: 10.18420/inf2020_92. Gesellschaft für Informatik, Bonn. PISSN: 1617-5468. ISBN: 978-3-88579-701-2. pp. 987-994. 3rd Workshop on Smart Systems for Better Living Environments. Karlsruhe. 28. September - 2. Oktober 2020

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