What can ADEPT do?

The applications of ADEPT are varied and fascinating but let's focus on a few of the most interesting.

  • ADEPT as a universal database with a novel user interface
  • ADEPT as a cloud-based interoperability solution
  • ADEPT as a marketplace or virtual economy
  • ADEPT as a deductive theory of the mind
  • ADEPT as a memory model for Artificial Intelligence

image31

Explore Applications

Universal Database

image32

Relational, graph, document store, spreadsheet, transactional, analytical: ADEPT as a database that does it all.

Interoperability

image33

ADEPT represents an innovative approach to bridging the gaps between data silos and managing data transfer formats. 

Virtual Economy

image34

ADEPT includes a native representation of transactional processes which can enable new data models for marketplaces, platform cooperatives and virtual token economies.

Theory of the Mind

image35

Much like ADEPT's 7 channels, the human brain works with only a limited number of primary neurotransmitters.  ADEPT is therefore a theoretical model for how the human brains may be wired to acheive consciousness.

AI Memory

image36

Intelligent machines utilizing ADEPT as a memory framework can integrate sensory experience with stored knowledge in a single, connected and ordered graph instance to produce adaptive and transparent intelligence.

Using ADEPT

An agnostic framework for data

The first task in applying ADEPT is to identify the abstract informational patterns that underlie a particular set of data.  The implementation diagrams that follow will serve as examples of this one-time work.  The important point is that any and all of these implementations of various information frameworks can co-exist with integration of all content within a single instance of ADEPT.

Data loading

We have developed a script for uploading data as a CSV file in ADEPT notation directly to a Neo4j graph database instance.  Similar scripts for other graph database systems will be developed in time.

Data exploration

We have developed an initial prototype for an API and a browser-based user application built on a Neo4j graph database back-end that allows for create/read/update functionality, as well as data exploration of an ADEPT instance.  This graphical user interface does not require the user to have any knowledge of graph traversal languages such as Cypher or Gremlin to manage and explore their dataset.