All models are designed from the standpoint of utility. Sapiens are built around MK modules designed to enable communication with humans using natural language. The elements in the models which are explicitly designed to represent core concepts of the application domain serve as building blocks for new concepts. The grammar and vocabulary of language inputs are the specifications for these new ideas. This is language comprehension and it is what distinguishes a sapiens from a chatbot or any other software that processes human language.
Sapiens models vary in size and sophistication depending on the scope of the required interaction. At the low end are sapiens that function as a user interface for a device by comprehending exactly what the user desires the device to do and then activating the desired function. These are interface sapiens that will enhance or replace the current generation of “digital personal assistants,” mapping through to the same functions or “skills” apps such as Apple’s SIRI and Amazon’s Alexa perform but without being prone to the silly mistakes non-comprehending interfaces are so prone to.
The next level of sapiens, though with a vocabulary and model still confined within a limited domain, have a far wider command of language and function as frontends to databases, search tools and websites in order to both provide desired information to a user and perhaps more importantly gather information from the user. Sapiens assistants will be used in customer service roles and other basic knowledge worker positions where a basic command of language is required rather than deep domain knowledge.
This level of sapiens is characterized by deep knowledge in a narrow domain. Expert sapiens converse with users to provide advice or diagnostic services.