Common basic knowledge for artificial intelligence algorithms
Completed on 05-Jul-2015 (19 days)
The proposed system might be considered as a huge multi-layered classification of AI information, where each input is defined on account of its adequacy with respect to a set of categorised features. Thus, the best way to adequately describe the Defining principles of this system is analysing these (recursive) classification processes.
For clarity purposes, I will define two different classification types:As already explained
, a detailed description of the proposed system is outside the scope of this project. On the other hand, more specific indications seem required in order to adequately transmit the intended ideas; that's why I am including my preliminary thoughts about the highest-level Layers below these lines.
Functionality Layer (L0). The information is classified on account of its functionality. Logically, a comprehensive enough list of major functionalities will have to be created (equivalently to what is expected to happen while defining all the other Layers). Sample functionalities:
Speciality Layer (L1). This second division is based upon the application scope of the given information; that is: useful for any kind of algorithm (e.g., differences between men and women) or only for certain ones (e.g., ability to recognise a very specific material). This Layer is expected to be formed by a common category and
n additional specialised ones. Note that this common sub-Layer will get a special treatment on quite a few fronts, like security-related issues.
Security Layer (L2). It accounts for the impact of (the eventual variation of) the given piece of information on other elements in the system. For example: the
feminine differentiation has a much more relevant impact (i.e., a higher number of additional elements will be affected) than the