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From inside the organization, DA feels like one fire after another, sudden and unexpected. This compounding results in exponential growth in jank. Unfortunately, our prediction error rate tends to compound, because the model is being neglected - with each new cycle, we plow farther and farther away from reality. Asserting that the environment is “solved,” we gain a sense of certainty and confidence. The ooDA configuration feels good at first.
Any maze lenses driver#
A driver who just cut us off in traffic is a “stupid moron.” A colleague who said something we don’t agree with in a key meeting - a “backstabber.” Here, our vision tunnels, and we only see simplified caricatures of the environment. All we have to do is “create order from chaos.”Īt the very extreme is the DA loop, when we’re driven entirely by our “fight” instinct. It feels like “we’ve got it,” we finally “figured it out,” and now it’s time to seize the moment. We lose sight of our model being just a fanciful depiction of the environment.
![any-maze lenses any-maze lenses](https://c1.staticflickr.com/5/4123/4736600901_611b380fff_b.jpg)
If someone is calling for “bias toward action,” they are probably looking to move closer to this configuration. We concentrate our energy on the Decide-Act part of the process. In the ooDA loop, we forget - or willfully ignore - that the model might not be accurate. The “analysis paralysis” is a common description of a team that is veering too hard onto this side. Despite our best and widest stares at the world, we are passive participants and our learning is limited to what is seen. Missing our opportunity to do so reduces effectiveness of our Observe-Orient steps. To collect more information about the environment for each iteration of the cycle, we need to act. Skipping a move is a big deal - and also a form of action. This configuration produces jank that is immediately visible and seen, rarely a micro jank. Every possible action looks like a wrong move. Everyone and everything is a potential threat, and every part of the environment hides nasty surprises. We zoom out as wide as possible, trying to find ways out of the situation we’re currently in, gripped by the anxiety that comes with trying to consume the entirety of the environment. In the extreme, this configuration turns into the OO loop. We hesitate to engage, hoping that the nature of the environment will reveal itself to us if we just keep our eyes peeled. We try to “consider all possibilities” and “look at the whole picture” when leaning toward this side of the spectrum. Leaning toward the OOda loop, we spent most of our budget trying to perfect the model, favoring the Observe-Orient steps. Given our current capacity as constant, we have to pick one of the two others: time or accuracy.Įach presents two different configurations for the OODA loop: I’ll call them the OOda loop and the ooDA loop (note the capitalization). It’s an iron triangle of seemingly impossible constraints. When managing jank, do we focus on the accuracy of our predictions or do we try to stay on pace with the clock? There does not seem to be a good answer - and trust me, “both” rarely feels helpful in the middle of the OODA cycle. Videos are recorded in MPG format with medium compression for high quality videos without loss of information.As it usually happens, we find ourselves in a conundrum.
![any-maze lenses any-maze lenses](https://images.theconversation.com/files/297417/original/file-20191016-98666-1gymkkq.jpg)
Where other systems use little or no compression, DanioVision facilitates long term recordings without running into storage problems. Our camera prevents the animal looking like a blurry streak in the video, so there is no misinterpretation of activity. The Fresnel lens does not magnify the image, instead it directs more light straight into the camera without affecting the image quality.Ī high quality camera is crucial zebrafish larvae tracking: perfect in resolution, shutter speed, and frame rate for recording the fast “burst-like” movement of zebrafish larvae. Rather than using fragile mirrors, a robust and compact system provides a straight view into each well. The DanioVision Observation Chamber has a backlit plate holder that is designed to create even lighting across all wells, preventing these problems.ĭanioVision has a unique optical design to prevent angular distortion in the video image of the outer wells. This is because uneven lighting causes differences in contrast in outer versus inner wells, and shadowing. Most other systems over- or underestimate animal movement.