HUMAN MACHINE INTELLIGENCE
MINDPORTS AI EVOLUTION
A NEW PARTNERSHIP
BETWEEN HUMANS AND MACHINES
The Evolution of Mindports® Artificial Intelligence
In the age of computing, manual spreadsheets became electronic spreadsheets, printers’ type blocks became word processors, and the written page became Web pages. Along the way, what was missed was the fact that the (non-mathematical) information model for the written page, still the cornerstone of our thought and communications, was established almost 4,000 years ago by the ancient Sumerians.
In 1781, Immanuel Kant published his Critique of Pure Reason, a seminal work establishing a key pillar of Western intellectual tradition and categorical thought in use today.
Until recently, it was not possible to re-visit the information model of the page, consisting of block text and images. The present computing structure of the Web enables us to do so, opening entirely new possibilities in mathematically based human-to- machine communications, far beyond mere hyperlinks, screens of icons, or drop down menus.
Driven by business necessity, entertainment, or advertising, image, video, and page have dominated Web communications. In the business sector, the relational database, with its table- based data model has served the needs of business. In the scientific sector, object-oriented
databases, with their tree-based data models, have come to the forefront. On the Web, graph theory is used to create personalization, and better search, according to the observed reactive choices of human attention.
Missing from these is the element of and intentional construction designed to observe human choice in the categorical taxonomical, or associative discovery and pursuit of information. Yet the discovery model is one of the key elements in the formation of individual knowledge in
modern library science. Commencing in the 1980’s, researchers in library science began to view information not as an object existing outside of the information seeker, but a subjective process in which that seeker formulated information itself in the process of searching.
Alternate branches are chosen and followed at each step of influence or new knowledge. When that process is drawn, it becomes, or can be mathematical represented, processed, and analyzed in real time in the algebraic data model of the tree.
In 1921, Ludwig Wittgenstein used the mathematical notation of hierarchical enumeration to categorize his statements in the Tractatus Logico-Philosophicus, to identify the relationship between language and reality and to define the limits of language. Within this model, elements of
a key isomorphism come into view. It is this insight that is structured into the mathematical core of the Mindports AI interface.
While heuristics and machine learning are now in the forefront of artificial intelligence research, the underlying data model being processed in these efforts remains the same. Mindports AI introduces a new starting point for analytics, statistical methods, expert systems and inference
engines. It introduces human thought to establish a new human-machine learning layer based upon conditional prioritization, sequencing, interpretation, assessment, pattern, qualification, response guidance, and understanding of the relations, proximity, and possibilities of real-time information content. New and richer context is established, laying the groundwork for automated discrimination.
Heuristic cycles are established, and, by merging thought, publication, user interaction, and
recorded result in a single interface, knowledge becomes evolutionary through computing itself.
It offers an automated discovery model for surfacing current and critical information.
This discovery is suggested in the taxonomy created by the mental maps articulated by the Mindports author, representing an interactive educational or instructive resource created by a human mind as opposed to an algorithm.
Such an interface bypasses the old page paradigm, and provides a form of author guided discovery essentially different from algorithmic search, a process in which the user is directly interacting with the author’s cognitive view of available and qualified topical information resources.
Individual authors, by introducing taxonomies, illuminate the edges of hierarchical object relations to software processes including expert systems.
Correspondingly, in this distilled form, on mobile platforms, needless scanning, scrolling, sizing, and page turning in the pursuit of information is eliminated, providing an order of magnitude reduction in human response time for both time critical applications and informed curated
discovery of qualified resources.
A form of this representation may also be seen when Mindports® are overlaid on maps, representing points of rich and complex information, in contrast to the simple pop-up labels of map pins. The user can engage multiple information resources while maintaining geospatial context, a critical component of situational awareness.
This introduction of a depth and breadth of knowledge with context, refinement, and nuances of meaning make a new kind of discovery made possible. Human knowledge begins to move into the Web, and becomes knowable by the Web.
Operating without page turns, menus, scanning, sizing, or scrolling, Mindports® enables the user to sort through thousands of choices in seconds and allows authors to rapidly create in minutes taxonomical information on any topic in an interface concept based upon interaction
with expert systems.
As a natural and conforming technological extension of not only Western intellectual tradition, but a natural human learning process that cognitive scientists now believe may began in infancy, Mindports® represents a natural evolution in the interweaving of thought and Web technology.
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