For academics and corporate researchers of Cognitive Science and Cognitive-Behavioral Psychology, learn how you can make use of ThoughtTrail: leveraging it's ability to 'Think about thinking'.

ThoughtTrail provides a plethora of tools and insights for students and researchers of Cognitive Science, and Artificial Intelligence as well as the ability for a hands-on role in developing the field further as far as your imagination can take you.

ThoughtTrail is powered by an event-driven ontological storage and processing system, called a Dynamic Metadata Data Framework, initially developed as a highly reusable basis for contextual-search software.

ThoughtTrail is composed of 3 components:

1. Input plug-ins

2. Filtering / processing / or event-handling plug-ins

3. Visualization or output plug-ins

When an event occurs in ThoughtTrail it starts of with an input plug-in finding some new stimuli. Each of the Filter or Processing plug-ins has an opportunity to handle the event if they find it to be relevant to their specific field of interest.

The Filter or Processing plug-ins have the opportunity to respond with a child event, which creates a child node to the parent event, creating a simple, but powerful ontological storage system.

For a practical example, check out how Instopix works in practice.

As a result of this bubbling up of relational information, more and more understanding may be provided to a given topic area with profound ease. When developing with ThoughtTrail you will come to understand how Advanced General Intelligence is highly likely to emerge in the Open due to projects like ThoughtTrail making use of Dynamic Metadata Data Framework, adding up one insight after another.