All artificial systems and components in space degrade at higher rates than on Earth, depending in part on environmental conditions, design approach, assembly technologies, and the materials used.
Complexity is a prevalent feature of numerous natural and artificial systems and as such has attracted much scientific interest in the last decades.
In this paper a possible general framework for the representation of concepts in cognitive artificial systems and cognitive architectures is proposed.
Bringing these so far largely unrelated fields of study together leads to a better understanding of collective agency in natural and artificial systems and will help to improve the design and performance of hybrid systems involving human and artificial agents.
For the most part, the analyses of this phenomenon have been performed in artificial systems and using animal models.
These hydrophobic and amphiphilic probes are associated with membranes when added to cells or artificial systems, and their resultant fluorescence properties can be used to monitor a variety of membrane characteristics.
Anchoring is the problem of connecting, inside an artificial system, symbols and sensor data that refer to the same physical objects in the external world.
Using this artificial system, Sog and the Tld MP domain can interact in the absence of Dpp, although Dpp still enhances SogZ+ cleavage (data not shown).
