1. When we see complexification, that is: Interconnecting parts, weaving together, aggregating subunits, wrapping around, encompassing, interlinking, interlocking, twisting, interlacing, fusing, assembling related things, intricately combining things, where the system is greater than the sum of their parts. then it is logical to attribute such actions to intelligently acting mind with foresight and foreknowledge, and distant goals.
2. Making systems with the hallmark of complexity depends on the careful elaboration and design in detail of many elementary parts and interconnecting them in a meaningful way conferring a specific purpose or function. Not rarely, small changes in one part of the system can cause sudden and unexpected outputs in other parts of the system, system-wide reorganization, or breaking down of the higher function.
3. Random accidents are not the best case-adequate explanation for the origin of emerging properties of a complex system. intelligent design is.
What does complex mean? It is from the latin word Complexus = woven together, encompassing; an aggregate of parts;
From the Latin complexus, the past participle of the verb complecti “to wrap around, to encompass, to summarize”, this is a compound of the prefix con- and the basic verb plectere “to wove, into one another”, which refers to the ancient Greek participle πλεκτός ( plektós) from πλέκω (pléko) “plaiting” goes back (compare complicated); complex means literally "interwoven"
Synonym words for Interwoven are: interlinking, interlocking, twisted, plaited, linked, interlaced, fused
An intricate or complicated association or assemblage of related things, parts, units, etc. Something consisting of parts intricately combined.
Complex: complicated as the opposite of simple.
Simple: free from elaboration.
Elaboration: containing a lot of careful detail or many detailed parts.
They're making the most elaborate preparations for the wedding.
1) set of details that are interconnected and together make up the whole; complex
2) patterns arising from networks of multiple interacting (and interconnected) parts
In complex systems, outputs are not proportional or linearly related to inputs; small changes in one part of the system can cause sudden and unexpected outputs in other parts of the system or even system-wide reorganization. In a complex factory, if just one tiny mal-function of a subunit of a robot in a production line occurs, eventually a part of a higher system cannot be produced and assembled together in a greater system, and the entire system breaks down. Complex systems present as emergent patterns resulting from dynamic interactions between multiple non-linearly connected parts.
Complex systems are also nested they are part of large-scale complex systems. Complex systems are also able to adapt to different surrounding conditions and the environment.
Complicated problems can be hard to solve, but they are addressable with rules and recipes, like the algorithms that place ads on your Twitter feed. They also can be resolved with systems and processes, like the hierarchical structure that most companies use to command and control employees. Complex problems involve too many unknowns and too many interrelated factors to reduce to rules and processes. A technological disruption like blockchain is a complex problem. A competitor with an innovative business model — an Uber or an Airbnb — is a complex problem. There’s no algorithm that will tell you how to respond. 1
Complex systems are emergent, they are greater than the sum of their parts. In a complex system, often a subunit, or functional part is complementary with other subunits, conferring a higher function when assembled together in a complex, purposeful manner. These parts are also richly inter-related i.e. they change one another in various ways as they interact. Often, a complex system can not be deconstructed into its component parts as it loses its function.