Interpretations

In explaining his approach, Luhmann emphasized, with the first stepsof computer technology in mind, the benefits of the principle of “multiple storage”: in the card index itserves to provide different avenues of accessing a topic or concept since the respective notes may be filedin different places and different contexts. Conversely, embedding a topic in various contexts gives rise todifferent lines of information by means of opening up different realms of comparison in each case due tothe fact that a note is an information only in a web of other notes. Furthermore it was Luhmann’s intentionto “avoid premature systematization and closure and maintain openness toward the future.”11 His way oforganizing the collection allows for it to continuously adapt to the evolution of his thinking and his overalltheory which as well is not conceptualized in a hierarchical manner but rather in a cybernetical way inwhich every term or theoretical concept is dependent on the other.

Every work of art can be read, according to Eco, in three distinct ways: the moral, the allegorical and the anagogical.

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most people trained in our subjects are aware of is the 00:28:22 phenomenon of slavery among non farming populations and actually the classic example is precisely that of the the indigenous societies of the Northwest Coast who are known to have kept slaves 00:28:36 who were actually hereditary slaves in their households which were organized on these highly stratified aristocratic sort of lines what nobody seems to have 00:28:48 been interested up to now is why this practice of keeping slaves seems to sort of fizzle out and stop as you head south into what is now broadly speaking the 00:29:00 area of coastal California

In computer science, a tree is a widely used abstract data type that simulates a hierarchical tree structure

The distinction is important in disciplines such as logic, linguistics, metalogic, typography, and computer programming.

Note that, although the modifying terms, fine and coarse are used consistently across all fields, the term granularity is not.

System architects: equivalents to architecture and planning for a world of knowledge and data Both government and business need new skills to do this work well. At present the capabilities described in this paper are divided up. Parts sit within data teams; others in knowledge management, product development, research, policy analysis or strategy teams, or in the various professions dotted around government, from economists to statisticians. In governments, for example, the main emphasis of digital teams in recent years has been very much on service design and delivery, not intelligence. This may be one reason why some aspects of government intelligence appear to have declined in recent years – notably the organisation of memory.57 What we need is a skill set analogous to architects. Good architects learn to think in multiple ways – combining engineering, aesthetics, attention to place and politics. Their work necessitates linking awareness of building materials, planning contexts, psychology and design. Architecture sits alongside urban planning which was also created as an integrative discipline, combining awareness of physical design with finance, strategy and law. So we have two very well-developed integrative skills for the material world. But there is very little comparable for the intangibles of data, knowledge and intelligence. What’s needed now is a profession with skills straddling engineering, data and social science – who are adept at understanding, designing and improving intelligent systems that are transparent and self-aware58. Some should also specialise in processes that engage stakeholders in the task of systems mapping and design, and make the most of collective intelligence. As with architecture and urban planning supply and demand need to evolve in tandem, with governments and other funders seeking to recruit ‘systems architects’ or ‘intelligence architects’ while universities put in place new courses to develop them.

It is important to notice that if you are planning on making your application a PWA, you don’t have to rewrite all the logic.

The meaning of the word "modularity" can vary somewhat based on context. The following are contextual examples of modularity across several fields of science, technology, industry, and culture:

One thing is certain when it comes to navigation trends, users and designers seem to be fed up with completely hidden styles and demand options that work in similar formats on desktops and mobile devices. This might be one of the reasons a vertical pattern is trending.