There are many Systems in place which help people achieve their objectives. In an Information Technology context, for example, these can aid productivity and efficiency of an organization, but they must be holistic and fit for purpose at every level, i.e. Ecosystem – System of Systems – Sub-System – …
The challenge in a Singularity context is to define and maintain fast-moving expectations for usability and automation, capability, resource management, training, legacy migration, collaboration etc., whilst (for example) mitigating the friction that could occur between Commercial Off-the-Shelf (COTS) systems.
Here is a proposal for the highest level Systems that would need to be created and deployed to meet this challenge:
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System of Desire
A “Social Media” description of every customer Need and Want in the context of desirable Scenarios. The System would consider the User Experience (UE) from the perspective of all Users, and maintain a holistic relationship between the Needs and Wants of that experience expressed in context. Humans are kept in-the-loop by validating UEs that are created for them. -
System of Opportunity
The Solution provider (i.e. developers and agents of the AI Marketplace) generates and evolves Solutions that provide Value to the User from their maturing Solution Space of people, processes, materials and technology as required. Systems Engineering (SE) discipline is used to drive the Idea to Solution, enriching the Solution Space in a virtuous circle during the process. -
System of Delivery
In turn, the User may generate and evolve their own Solutions that provide Value for their Customers from their maturing Solution Space. SE discipline is used to drive the Idea to Solution, enriching the Solution Space in a virtuous circle during the process. -
System of Validation
The incremental delivery of each UE, based on verified Solutions which balance the priority of the Need and maturity of the Solution Space. The UE can be a new idea or inspired by an existing one. Humans are kept In-the-Loop by being responsible for voting and ratifying the concept(s) that offer the best Value Solution for a given UE in context.
These four Systems would interoperate seamlessly and autonomically as required, perhaps with the following initial configuration:
- 1 inspires the drive to create new Solutions in 2, and monitors the progress
- 1 prioritizes the UE Ideas in 4, and validates the UEs delivered by 4
- 2 inspires the human desire of 1, and monitors the demand
- 3 is triggered by 4, and informs 4 about the progress
- 4 takes its inspiration and priorities from 1, and delivers the Solution to 4
The “mechanism” suggests that an expert Agent hierarchy might be needed to manage the complexities and opportunities that would unfold. Existing typical Information Systems for transaction processing, automation, decision support, knowledge capture and analysis etc. could perhaps more easily fit into the above framework, each with their own Functions that are deployed in the context.