On the one hand, complexity science and enactive and embodied cognitive science
approaches emphasize that people, as complex adaptive systems, are ambiguous …

Many future innovative computing services will use Fog Computing Systems (FCS),
integrated with Internet of Things (IoT) resources. These new services, built on the …

Self-organization can be broadly defined as the ability of a system to display ordered
spatiotemporal patterns solely as the result of the interactions among the system …

SI can be seen also as part of the broader field of computational intelligence (CI)(Keller et al.
2016), which comprises computational methods for problems not solvable by the first …

We report chemically fueled oscillations of vesicles. The population cycling of vesicles is
driven by their self-reproduction and collapse within a biphasic reaction network involving …

Should digital technology be viewed as a new life form, sharing our ecosystem and
coevolving with us? Are humans defining technology, or is technology defining humans? In …

Experimental robobiological physics can bring insights into biological evolution. We present
a development of hybrid analog/digital autonomous robots with mutable diploid …

Purpose–Autopoiesis is a concept originally used to define living systems. However, no
measure for autopoiesis has been proposed so far. Moreover, how can we build systems …

New device concepts and new computing principles are needed to balance our ever‐
growing appetite for data and information with the realization of the goals of increased …

The slower is faster (SIF) effect occurs when a system performs worse as its components try
to do better. Thus, a moderate individual efficiency actually leads to a better systemic …