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An Implosion of Taxonomy

An Implosion of Taxonomy

One difficulty in trying to assess the state of the singularity is maintaining focus on key areas. The nature of the singularity is an explosion of knowledge and science and technology. It is obvious that some key areas include: artificial intelligence, robotics, computing, knowledge engineering, nanotechnology, bio-genetics, energy, augmented reality and ethics. But each of these fields is rapidly expanding and developing new areas underneath them.

A Taxonomy of Knowledge – [conceptualizedintelligence.com]

A taxonomy is a framework for organizing knowledge. They are usually designed with a range of top level categories that are selected with the intent of being able to absorb most new knowledge within the scope limits of the taxonomy. It’s an outline that attempts to anticipate future needs by creating a master set of top level categories.

As these key fields of knowledge expand, they are creating new sub-fields of specialized knowledge that never existed before. A well designed taxonomy adapts and expands inwardly to accommodate new categories of knowledge. In theory, this process can be extended without limit. But in practice, as the taxonomy expands and layers of knowledge grow deeper, it become more difficult to locate items. Imprecise terms cause problems and some pieces of knowledge span more than one category.

A taxonomy is a one dimensional concept, like a line. Eventually, we will need to consider adding more dimensions to our organization of knowledge, expanding it to become more like a plane or a cube or beyond. Taxonomies begin as a simple list of categories, then are modified as the list expands, in an attempt to find either a natural order or some kind of order that is functional for a purpose. Some simple listing categories that we use frequently include: alpha-numeric order, time, space, size, scope, purpose, quality… and there are more. Each of these can be considered as a new dimensional axis in a taxonomy matrix. Then we need to modify them to find working natural orders or orders that are functional for a purpose.

Data Mining

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