Scio Demo - Liquidated Damages Pargraph (continued)

Creating the CAF structures involved a distributed constrained reasoning based process combining both grammatical and semantic knowledge bases, starting with knowledge rich tokens which are combined into increasingly complex grammatical structures that are matched to the semantic knowledge structures.

Following are captures of 2 phases in this process, for the first sentence – “If seller…”. The first was taken just after the tokens are chained together (in 2 “zoom” levels). The second shows the grammatical structures created during the process.

Here is a close look at the chained tokens (the blue nodes in the bottom):

The grammatical structures created during processing on top of the tokens chain:

As the CAF structures are persistent, we can access them directly and manipulate them.

Following are captures of the structures around the percentage involved in the direct compensation for delay. Initially, as specified in the contract, it is 3% per week of delay. We will change it to 1%. The new information flows throughout the structure, changing values. We will also show the effect on the analytics form.

We change the value of the top right node from 3 to 1. Bottom left node changes from 4,500 to 1,500.

Of course, the user doesn't see these views of the workings of the system - instead they see a system which "knows" everything in the contract and responds accordingly

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