User:CognitiveMMA/sandbox/GCI4WebSci2022/web3.0

Web 3.0

In web 3.0 application or platforms, Human-Centric Functional Modeling aims to create the capacity to decouple all application or platform functionality into a library of functional components spread across a number of functional domains. This creates the opportunity to assemble software applications or platforms using whatever set of functional components that is optimal for a given problem. Assuming that this assembly can be achieved through a system such as General Collective Intelligence that is predicted to exponentially increase the general problem-solving ability of groups, this in turn creates the possibility of exponentially increasing the speed and scale of development.

This different from current development in that when a set of operations can be defined that “span” the entire functional state space, then all possible behaviors of software in that domain can be represented in terms of some composition of those operations. In the case of a hypothetical blockchain domain for example, this suggests that all blockchain platforms could be decoupled into a library of functional components, and that a system with general problem-solving ability such as a GCI might be used to dynamically select whatever set of components is needed to execute any functionality in that domain in a way that is optimal for the group. Taken together, these properties suggest that such a blockchain platform might be able to interoperate with any any and every other platform, and that it might have exponentially greater capacity to solve all possible blockchain problems, such as simultaneously increasing security, scalability, and decentralization where necessary.