Inclusion

It was time to think this through. Sufficient interest had been generated by the 'grail' model to use their best empirical techniques. Ambiguity has emergent properties in this type of situation so putting together a set of patterns with proposed connections was the 'new natural' choice.

The system had reached a critical mass of capacity just a short while ago. This architecture would not have been given much thought before, it just did not seem practical.

Imagine, a ratio of dynamic generic agents - 1000 Trusted Agents to 7 Untrusted. When capacity is constrained the only option would be to use manual methods or other system augmentations to detect the Untrusted. If, on the other hand, the systems is built on a foundation of Trusted Agents and the capacity is sufficient, it is actually far easier, more reliable and cost-effective to routinely detect the Trusted Agents and when such detection fails, look deeper for trust.

Since a great deal of the functionality of the system might already be in place one need only ask if that functionality was sufficiently modular to allow it to reliably sit on a new type of foundation, organic representation of the interest of those Trusted Agents.

He was again reminded of her words " … to lure prey". Illusions of beauty can be exploited and the hair trigger mechanisms built to serve the short-term interests of a few. Some still lay hiding in the platform. A robust visualization of such hazards was therefore a requirement.

They knew how important generating collective content was but were still learning how to help the machine make it meaningful … to trust and understand their benevolent agenda.