Tangerine Makes Insight Tangible


Drawing – Model Fusion

Regarding the snapshot above, …that fusion of drawing within model is something that architects, engineers, and builders are doing all the time anyway, necessarily. If your software is not doing the fusion for you, then you’re doing it anyway as a mental exercise, unassisted. 

You do it because you have to. You imagine your drawings within the model in order to understand the drawings. Likewise, the reason you draw (or read) drawings to begin with is to move your understanding of a model beyond superficiality. This is true for any kind of model: mental, physical, or digital.

Deliver models in a new way: with equipment built in that enables and expresses the act of taking a closer look, of articulating and communicating what matters, within models themselves. What does it mean to have such equipment built-in? That’s illustrated in the book: TANGERINE MEDIA INNOVATION SPEC 2018

Fusion will be the primary engine of software and media innovation for the foreseeable future. Fusion, combining the narrowing and focusing act of taking a closer look (aka “drawing”) into the wider expanse of an information environment (aka “modeling”), elevates the effectiveness of media, raising it closer to its purpose: the facilitation of thought and understanding. And more. Fusion sets the foundation necessary for evolution in the medium of drawing itself, an evolution in drawing’s form, the form of its expression.

Fusion and evolution create possibilities for greater freedom in creative expression, greater precision in technical communication, clearer conveyance of idea, greater interaction between wide and narrow, whole and part, environment and focus, conception and realization, surface and essence.

In general, media fusion, and the evolution in form that follows from it, offers the possibility of decreased cognitive slippage, for improved traction in the development of thought, a more effective medium for cognitive development and uptake, for human and machine cognition alike.


Tangerine’s Media Innovation Spec 2018 will have a secondary effect, on cognitive computing.

The purpose of media is to support the thought process, to help us understand things. Media will continue evolving for this purpose. Tangerine’s Spec will play an important role in making media a more energetic and able companion to thought and understanding, and will do so both for human and machine cognition.

What will cognitive systems (like IBM Watson) “see”, when they parse multi-media/data modeled fusion environments enhanced by Tangerine’s media innovation spec?

Machine (and human) cognitive systems find/reveal (or generate) connection, or correlation, between diverse and otherwise disconnected fragments of information. Through correlation, understanding grows, meaning is found, the essence, of situations, is pinpointed. Consequently, cognitive systems develop appropriate response to query, and they develop impetus, to appropriate action.

The latter, action, is beyond the scope of our work, as action involves a complex array of factors comprising the sum of “intent”, “purpose”, “opportunity”, “consequence”, “agency”, “will”, and many other such things. We’re focused rather on question and response, or “qa” (question and answer).

The power of cognitive systems is the power of meaningful discourse, dialog, conversation — between people and machine cognitive systems — conversation that generates meaningful answers to complex questions that don’t have pre-defined answers.

The media fusion that we can put into the hands of designers and builders everywhere as they think, act, and work (when our spec is implemented), can produce a new kind of data environment, one that amplifies the possibility of detecting relevant correlations that span a variety of different, and otherwise previously disconnected, data and media types, information bits and fragments.

Providing therefore for greater connectivity, our media fusion makes more fertile ground for cognition, a richer field in which the mind (human and machine) goes to work, where understanding grows.

In a highly complex and always changing data environment — like the real world, full of people, actions, tasks, and myriad data —  cross-data-type correlations normally are not easy to detect. And so, machine intelligence has difficulty gaining traction in these kinds of environments. Gaining traction for cognitive systems in complex spatial visual environments though is precisely the possibility worth pursuing.

The fusion of spatial media (models), and the articulate act of “taking a closer look” (“drawing”, as it evolves via Tangerine’s Spec), will make correlation (the fuel of cognition) more discoverable and therefore more accessible to cognitive systems. We can develop the methods that will give cognitive systems adequate traction in spatial visual data sets where today they mostly spin their wheels.

We can help realize the full power of machine intelligence in these domains. I know where to begin this investigation into what happens at the intersection of cognitive systems and Tangerine Media.

The ideas in my book (free on Apple Books, and in PDF for download), when used and implemented by software companies, will change/evolve the nature of “drawing” (the nature of its expression, changing the way that we “draw attention to”, “take a closer look”), as well as the nature of drawing’s fusion within models, moving beyond the first generation drawing-model fusions that began (with my work at the time at Bentley Systems) in 2012. The new evolutions described in my book, now, for software developers, will bring change also to the basic nature of digital modeling, the basic means by which we engage/interact with modeled environments, while presenting also new means for contribution in the field of cognitive computing. This slide deck (5 slides) gives a short intro to the book, Tangerine Media Innovation Spec 2018

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Please write us at robsnyder@tangerinefocus.com