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To Adapt or Not to Adapt: A Quantification Technique for Measuring an Expected Degree of Self-Adaptation
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Organic Computing — A Paradigm Shift for Complex Systems
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Complexity, Social Complexity, and Modeling
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A Mutual Influence-based Learning Algorithm
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Measuring Self-organisation at Runtime - A Quantification Method based on Divergence Measures
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Observation and Control of Hybrid Organic Computing Systems – Centralised Planning Combined with Autonomous Entities
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On the stability of (self-)adaptive behaviour in continuously changing environments: A quantification approach
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Expressing the Adaptation Intent as a Sustainability Goal
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Runtime Assessment of the Parameter Utilisation in Adaptive Systems
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Expressing the adaptation intent as a sustainability goal
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Introduction to the Special Issue “Applications in Self-Aware Computing Systems and their Evaluation”
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The Vision of Self-Management in Cognitive Organic Power Distribution Systems
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