Sign in

In October 1995 MIT held a “Celebration of Vannevar Bush’s 1945 vision; An Examination of What Has Been Accomplished, and What Remains to be Done.”

Several key contributors to today’s technology, including Tim Berners-Lee, inventor of the World Wide Web, made speeches acknowledging the influence of Bush’s “As We May Think” article on their work.

Bush’s ideas of linking information have been most notably realized in the hypertext of the World Wide Web, but his vision of “a new profession of trail blazers, those who find delight in the task of establishing useful trails through the enormous mass of the common record” has failed to find a champion.

The reason I suggest lies in a conundrum. Trails are established from diverse individual rather than IT expertise. Without an understanding of this, there can be no appreciation of what mechanisms are needed to handle its diversity, and, of course, without such mechanisms, there can be no way forward.

I will try and unravel the conundrum.

Linking, Associative Indexing and Trails

(Bush quotes in italics.)

The concept of linking two items of information can be difficult to visualize. When words are used to represent objects, their existence and properties, linking them establishes relationships similarly to the objects on a web page.




Each web page object is more or less autonomous, and can be assembled into unique combinations within the hierarchy rules. Using the same approach single words and short phrases can be used as ideas for objects. Linking up single words can be sufficient to describe many of the tasks encountered on a daily basis.

Lunch>Main course>pigeon


“It affords an immediate step, however, to associative indexing, the basic idea of which is a provision whereby any item may be caused at will to select immediately and automatically another.”

For this to occur a discipline is required, a convention that is sufficient, although clearly inferior, to simulate the process of thinking. A piece of information, a word, is used as a prompt to open a list of associated options. Selection of an option links the two words together as more refined information, and immediately becomes a new prompt ready for the next cycle. The prompts and options are arranged as lists in a hierarchical structure ranging from a big idea to the smallest detail. Each list is given the name of its immediate ancestor as its title; each word on every list is a link. The first item selected (the prompt) activates another simple digital device that recognizes the name selected, finds a list with the same title and manipulates, stores and displays new information once the second word (the option) is selected from the list.

“The human mind…. operates by association. With one item in its grasp, it snaps instantly to the next that is suggested by the association of thoughts, in accordance with some intricate web of trails carried by the cells of the brain.”

The prompt/option cycles emulate the human mind. Whilst the prompts and options are hierarchical, once relationships have been established, progress is unrestrained. The prompts and options grow into a long string of words until the “trail” is complete; the task has been expounded and ready to pass to the next stage of whatever work process it forms part. The hierarchical structures will of course vary depending on the nature of the activity. Whether a word is at the top end of the tree or the bottom is immaterial to the computer. Its job simply is to find matching words.

For example an architect starts from the big idea of a building, and using the lists of prompts and options breaks it down into elements, spaces and components, the final step perhaps being to specify the type of screw considered appropriate to fix the door hinges. For the manufacturer of the screw, the screw may well be the big idea, and at the end of one of his trails will be the raw material, another its intended use.

In this way people with diverse interests and in diverse locations can build from existing experience and data in infinite combinations to bring new information into existence, or more simply, reuse existing information to do their work.

“It is an enlarged intimate supplement to his memory.”

The information produced by people is the technology. This overcomes many of the problems the computer industry face in providing tools of universal application. The floating text defining the function of a tool button gives an insight into the future progression of technology. When all the acronyms and icons have been memorized, the back stop is still the common word. As the emphasis has changed from massive main frame computers to PCs, from hardware to software, and from software to the Internet, where next is there to go but back to the common word? The major advantage of using words as a resource is that they are distributed throughout the world. They belong to the people. This does not denigrate the computer industry, rather puts it in a more appropriate perspective, an essential utility like electricity or water supply.

Consider this:

Each government department prepares lists of the words commonly associated with objectives in everyday work — lists of things to do, lists of things to consider and so on — and stores them. This word store is common to all, so that once started each department uses existing words or adds new if none exists. The word store evolves and continues to do so. As each department has different priorities and task relationships, the word stores acquire an intricate network of links; computers easily handle these.

If road safety was broken down into its constituent parts; people, traffic, controls, roads, weather, and so on, and these were similarly broken down into further levels of detail, the common words used become similar to the objects computer engineers use to harbor their coding. Information created by one department is linked through the network to work of another that is relevant, the words providing the links.

“Moreover, when numerous items have been thus joined together to form a trail, they can be reviewed in turn, rapidly or slowly, by deflecting a lever like that used for turning the pages of a book. It is exactly as though the physical items had been gathered together from widely separated sources and bound together to form a new book. It is more than this, for any item can be joined into numerous trails.”

Words represent people’s know-how. Lists of words that continuously evolve from practice provide the links that enable simple digital devices to automatically search, analyze and summarize information pertinent to the task at hand. The words actually carry out work.

“This is a much larger matter than merely the extraction of data for the purposes of scientific research; it involves the entire process by which man profits by his inheritance of acquired knowledge. The prime action of use is selection, and here we are halting indeed.”

Experienced persons arrange words in associative indexes to optimize the selection process. The central resource is words; digital networks provide the connectivity and small universal pieces of computer code automate the words.

Modern ticketing systems rely on automated information. Without numbers on the ticket the turnstiles would not operate. More complex information is processed by bar code systems.

Even more complex information can be managed by registries for various sectors of business. Words, like atoms, can be compiled in an infinite number of ways.


“There is a new profession of trail blazers, those who find delight in the task of establishing useful trails through the enormous mass of the common record. The inheritance from the master becomes, not only his additions to the world’s record, but for his disciples the entire scaffolding by which they were erected.”

Registries provide good connections in collaborative work because of the high quality of the information; words representing experience and technical know-how are arranged as lists in a manner useful to the industry sector a registry represents. The words ensure information is always pertinent to the task at hand.

The old adage, “it is not what you know, but who you know” is played out in a modern environment, in which inherent quality assurance and accountability take the place of the old school tie.

Computer technology has shaken many traditions but a world full of lists may sound as inviting to most of us as reading computer code on a warm summer night. But just as computer code leads on to being able to carry out surprising tasks, the design and construction of prompts and option lists has equal surprises in store. These surprises arise from and affect the whole of society simply because of the nature of the resource.

People are trained to use words from an early age. Some people specialize in refining their use of words to make a living, writers, politicians and so on, but in the future this can be extended to many more to build and develop the word stores. A farmer in the North of China might contribute some unknown prompts and options concerning growing grains in that part of the country. Knowledge becomes a readily tradable commodity.

“Wholly new forms of encyclopedias will appear, ready made with a mesh of associative trails running through them, ready to be dropped into the memex and there amplified.”

Most of world knowledge has been lost; the rest is kept in books or other forms of storage. The importance of the existence of this information is what can be gleaned from it, not necessarily the detail of its content. Regulations are a good example. The detail of regulations, how they came about, what was the intent, is interesting to a few, but society demands that everyone comply. The issue of compliance is the interest of the majority.

The same is true with accountability; knowing that the result is the cheapest or most efficient is sufficient, but to provide the necessary assurance elaborate procedures are instituted to demonstrate the insufficiency of the alternatives, which incidentally for physical reasons are severely limited. The more successful supermarkets demonstrate the benefits of distributed and automated information. The amount of information available in a single store is staggering. Calculate the amount of information gleaned from the bar code and ingredients labels on a single can of soup. Estimate how many people look at or seek access to this information. Not many, most have faith in the system. Extend the supermarket model on a wider scale, using the word stores, newly classified reference material, computers and telecommunication, and elaborate procedures will gradually fall out of use.

Similarly, reports and meetings that are essential to modern governments and business gradually become disseminated as inherent information management within the scheme changes the emphasis to human creativity at all levels.

Mechanized records

“Presumably man’s spirit should be elevated if he can better review his shady past and analyze more completely and objectively his present problems. He has built a civilization so complex that he needs to mechanize his records more fully if he is to push his experiment to its logical conclusion.”

©2001–2019 Chris Glasier. All rights reserved

Title and intro changed 2019

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store