dataspects is an extension to your mind(s)* — like a secretary.
* … both on a personal (just your mind) as well as a collective level (all your organization's minds).
It digitizes your speech, writing, reading, listening into digital data and makes it easily accessible** with a minimum of thinking***.
** dataspects entitizes and annotates your content in ways that allow it to be organized into purposeful facets for your need at hand. *** e.g. search.yourdomain.com
TopLevelMapincluding smartly populated
ActionsAspects. This can fight your hedonism and align your lifestyle with your ideological virtues that usually fail because of organizational and transaction costs.
ActionsAspectseffective, efficient and coherent with your action groups.
In order to carry out purposeful tasks you need knowledge.
At any given time, knowledge is in one of the two latter stages of the four stages of competence. It is either
Knowledge itself can be understood as a collection of linked concepts. So learning can be understood as incorporating such linked concepts by having ideas. Our minds link ideas by concepts, i.e. implementation, or name, which is in fact a public access method of the mind's Thought API for that implementation.
New knowledge passes two fundamental stages while being learnt:
Miller's law states that the number of concepts an average person can hold in working memory is about seven. This phenomenon poses a limit to the power of your mind for mastering complex tasks. (A complex task is a task that requires several linked concepts.) If most of those linked concepts are not used regularly, then they won't make it to the unconscious level and thus occupy valuable positions in your working memory.
When asked to perform a task, you have to tie in — for the right reasons — many skills and concepts:
So in order to serve as an efficient processing (rather than just a storage) extension to your mind, dataspects must be able to present to you an aspect containing no more than about 7 concepts.
It is your task to learn and practice as much in a domain so that most, if not all of those 7 concepts are unconscious knowledge.
In his book "Thinking, Fast and Slow", Daniel Kahneman writes in chapter 6 "Norms, Surprises and Causes", page 71:
This observation corresponds directly to the concepts of dataspects' Knowledge Management Framework (DSKMF).
As Alfred North Whitehead put it:
The purpose of a corporate semantic web is to let searchers find what authors have written. In both roles, i.e. as a searcher and as an author, people tend to express their knowledge and questions in
Moreover and realistically, neither the searchers' nor the authors' language can be normed, which means that one needs to be semantically mapped to the other. This mapping requires background knowledge, because the meaning of something is not contained in its representation. For example, there is nothing big in the sequence of b-i-g, nor is there anything small in the sequence of s-m-a-l-l.
An internet search engine like Google can learn this background knowledge, a.k.a. "term semantics", using statistical methods. This approach is not feasible in the realm of corporate semantic webs, because
This is why — for the time being — term semantics should be declared manually in a corporate thesaurus by pragmatic/dynamic/periodic corporate terminology management which is characterized by
dataspects minimizes the mental overhead wasted when using knowledge. If people need to
they need to reach usefully prepared knowledge as easily and quickly as possible.
The way they do this is by traveling through a web of aspects starting with an intuitive and spontaneous statement.
Will computers crowd humans out of existence at the point of singularity? Are efforts to make and use them in smarter ways inappropriate, futile or dangerous?
Maybe — probably (not) — we don't know.
Maybe human existence and its intelligence is ruled by universal, and currently indiscernible, laws that absolutely prohibit reaching singularity — similar to Heisenberg's uncertainty principle identifying the fundamental limit to the precision with which certain pairs of physical properties of a particle can be known.
In the course of this strive, the human brain has learnt to surmount its limitations by developing tools, which, in case of computers, increase the processing and storage power at its service.
So, in view of the fact that our best option is probably to aspire coexistence with superintelligence, the concepts promoted here are merely development steps towards some yet unknown "optimal" model of that coexistence.
A human brain's BIOS (basic input/output system) is currently confined to our senses — with maybe looming or promising advances in brain-computer interfaces (BCI, see Nick Bostrom's thoughts on this below).
The interesting part in this is not so much the question whether we can consciously operate machines using our thoughts, but whether we could "use" e.g. Wikipedia unconsciously. That is, connect our brain to Wikipedia and use its knowledge by means of ontological linked open data (LOD) that integrates with our unconscious mind. Such functionality could for example enable anyone to honor, heed and practice fine-grained Swiss societal customs and habits in a convincing manner without having ever learnt, considered or practiced any aspect about those Swiss customs in a conscious way previously.
That's why I consider dataspects' principal intent — making optimal use of computers to minimize mental overhead when learning and working — not only worthwhile but imperative.
You live off of the efforts of many other people. If their marginal effort to support you is higher than the level above which those people demand reciprocity, how do you contribute?