“Their intricate order – a manifestation of the freedom of countless numbers of people to make and carry out countless plans – is in many ways a wonder”From Jane Jacobs who is anti planner:
Going against the modernist planning dogma of the era, it proposes a newfound appreciation for organic urban vibrancy in the United States.The key is that the trade space is not countless, but she is otherwise correct. The connect between between trade and social semantics is simple, they both adjust, hey matchine he way in they distribute entropy. The connection is in the order book, literally. From the Sears catalogue to the CRC mathematical tables, order books that standardize products will minimize transportation costs. Any given firm can adjust orders to reduce local congestion.
If you take information and transactions as computationally equivalent, then clustering makes the locality just congested enough that wwe get a good estimate of transport costs. Every delivery network has this property, congestion at any node is the pricing mechanism. Congest sets shelf costs for local goods. So clustering to get a container algebra and minimize transportation costs are the same function. The mechanism is the order book, not quite the trade book but similar. The order book is like the smart layer version of trade book, applications use them all the time.
This fits into our escrow model, a product order is a digital bearer asset, it entitles the bearer to the likely delivery of some product indeed in the order book. As an aside, we can see how to use order book and escrow router to nest a series of assemblies for delivery.
This leads us to some very sophisicated supply chain AI, as a machine like IBM Watson now has the capability of auto-ordered and nested book with all transactions optimized at the escrow layer. Given that Watson knows the supplier, it can create very efficient orders an order books to maximize assembly.
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