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 part in making media a more energetic and able companion to thought and understanding, and will do so both for human, and machine, cognition.

Cognitive Computing

What will cognitive systems (like IBM Watson) “see”, when they parse multi-media/data environments enhanced by our 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.

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One thought on “Cognitive Computing

  1. The idea is that this fusion of “drawing”(with drawing existing both as we know it now, and as we propose it will evolve in our media innovation spec) and modeling, … this fusion of drawing and modeling, begins as a fusion, evolves and unfolds/develops as a fusion, and remains a fusion throughout, from beginning to end. This means for example, that this older idea, from the 1980s/90s of “using models to automate drawings” whereby those two things are related but separate, that’s no longer the goal. Rather, the goal is full expression of the relevant concept: that a model is an environment, the purpose of which is to exist as host for the articulate expression of the act of taking a closer look, where a set of these acts are expressed within the model. The fusion is the purpose. This idea comes from the simple recognition that the purpose of media is to support thought, the development of thought, and its communication. Media is a place where we unfold our thoughts, develop them, and where readers see what we’re trying to show. Media is where we develop our thoughts and transfer them to others. Media is for seeing and understanding. As such, media itself should evolve, to better support that purpose. Fusion of “drawing” (as it evolves) and modeling is a key part of that I’m certain.

    In the videos of fusion I show in these comments, the videos show a fusion during early stages of design. That same fusion would evolve and develop through to technical communication, becoming more fleshed out, more detailed. It will move on from early sketch to solidified project. Which then would be constructed. During construction, the same fusion would continue evolving as different sets of users interact with the interplay between the narrowed focus of in-situ “drawing” and the modeled environment, while adding their own communications and acts of articulating that they are “taking a closer look” at this area or that and making something clear, thus, they’d be drawing as well, within the model… The fusion continues. The same holds true through the life of the asset. The people living in and operating the facility would continue interacting and authoring their own acts of “taking a closer look” so the fusion would continue to evolve, permanently, until the real world facility no longer exists.

    So this comes back to the point about cognitive systems.

    Machine intelligence relies on detection of semantic continuity across diverse and otherwise disconnected units of data. Machine (and human) cognitive systems find (reveal, produce or generate) connection/correlation between disparate things and fragments of information.

    The media fusion that we can put into the hands of designers and builders everywhere as they think, act, and work, can produce a new kind of data environment, one in which the potential power of cognitive computing is more fully realized.

    The fusion provides a more fertile field of correlation. A richer field in which the mind goes to work, where understanding grows, and so, supporting meaningful discourse, dialog, conversation between people and cognitive systems, conversations that can generate meaningful answers to hard questions.

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