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https://doi.org/10.1007/978-3-322-89749-7ions and tracing collectivememory. These elements of distributed computation provide complementary views into the capacity for swarm coherence and reorganization. The approach deals with both global and local information dynamics ultimately discovering diverse ways in which an individual’s location

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Strukturen betrieblicher Konflikte,se, hierarchical manner, to create an artifact that will behave deterministically in an intended way (Minai et al. 2006; Pahl et al. 2007). However, this process does not apply to complex systems that show self-organization, adaptation and emergence. Complex systems consist of a massive amount of si

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On the Cross-Disciplinary Nature of Guided Self-Organisationlong-term consolidation of information; large-scale natural or social systems, as diverse as forest fires, landslides, or epidemics, produce spontaneous scale-invariant behaviour; robotic modules self-organise into coordinated motion patterns; individuals within a swarm achieve collective coherence

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Information Measures of Complexity, Emergence, Self-organization, Homeostasis, and Autopoiesist al. 2007; Heylighen et al. 2007). Traditionally, science has been reductionistic. Still, complexity occurs when components are difficult to separate, due to relevant .. These interactions are relevant because they generate novel informationwhich determines the future of systems. This fact has seve

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Generating Functionals for Guided Self-Organizationcomplex systems come in a large varieties, and in many complexity classes, ranging from relatively simple to extraordinary complex. One may distinguish in this context between classical and modern complex system theory. In the classical approach one would typically study a standardized model, like t

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Empowerment–An Introductionake this decision. You are able to decide this, even if your current acute problems or task do not include opening a wine bottle. Similarly, it is also unlikely that you evaluated several possible trajectories your life could take and looked at them with and without a corkscrew, and then measured yo

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Quantifying Synergistic Mutual Informationoni 2008). Several papers (Schneidman et al. 2003a; Bell 2003; Nirenberg et al. 2001;Williams and Beer 2010) have proposed measures for quantifying synergy, but there remains no consensus which measure is most valid.