Cognitics is the science and art of automated cognition (including related techniques).  
Cognitics brings the proper answer to the challenge of successfully dealing with complexity. 
In cognitics, powerful operators include e.g. those that make access to information faster, such as reorganizing lists alphabetically, in numeral or chronological order; and more generally those that transform or select representations. A very powerful paradigm for automated learning is for example the cache-memory mechanism. In this case, repeated accesses may be faster thant initial ones, which translates into increases of expertise, i.e. per definition, learning. Another one is the management of preferred links. Advances in cognitics are made easier by the availability, in MCS cognition theory, of formal definitions and of a metric system for cognitive properties, such as complexity, knowledge, abstraction or intelligence. In cognitics context, it appears that systems featuring a high level of expertise are in principle what is best. Intelligent systems, i.e. systems capable of learning, are in general comparatively less interesting. Cognitics clearly overlap with artificial intelligence. But it is more general, encompassing many cognitive concepts other than intelligence, such as knowledge, expertise, learning or abstraction for example. 
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Last modified on 8.06.2020