The Way Forward

As we continue to tackle the biggest challenges facing humanity, we come to the inevitable realization of the scale and complexity of the world. Global organizations continue to struggle to expose and integrate the nuances hidden from the generalization of data. These critical differences have caused programs to fail in one region when they have succeeded in others. Additionally, as globalization and the interdependence of the world economies continue to grow, the actions of any part will no longer have isolated effects in any region. Business externalities, long overlooked in accounting, can no longer be ignored as their consequences affect all of us.

To address these mounting issues, we propose an integrated solution consisting of several major parts, which working in harmony can potentially unify and align us towards common solutions.

Global Integrated Simulation

When we make policies, policymakers face the limitation of both understanding the complex intricacies of the domain which the policy effects and the accuracy of the information they are acting on. To gain an understanding, policymakers often rely on think tanks and institutions to provide both the suggestions and the backing data. Each of these carries biases of those who fund the research and details are lost in the language of the text. In addition, the same policies can have wildly varying effects depending on how they are carried out and the amount of guidance and collaboration.

By creating a large-scale simulation platform, we can model the actual effects of policies carried out through a simulation of how individual components behave and interact with each other since often it is easier to understand the individual than the collective interaction due to emergent complexity. In known cases, we can see where gaps lie in our understanding by reconciling the gaps between the simulation of individual components and the known behavior of the collective in certain situations. For each component, we can also run different models of their behavior and reconcile those differences as well. As the models gain accuracy, we gain confidence in its ability to simulate and predict behavior in novel unknown scenarios; and we can use these simulations to determine the best course of action and execution.

Through this, political platforms can be productive. When a platform is proposed, and benefits touted, those outcomes can be compared to the simulated outcomes. If a candidate disagrees with the simulation, they can point out the errors in the simulation or fund research which offers contrasting evidence. Either way, there is incremental forward progress because of each election process as opposed to different candidates consistently reversing the work done by the previous administration.

AI Modeling & Experimentation

The limitations of simulation depends on the accuracy and efficiency of the models represent real-life phenomenon and actors. Most simulations are still developed by hand or are very shallow representations of the counterparts they represent. There are also objects which we don’t have good recorded data and models for. Advances in neural networks and artificial intelligence allow us to uniformly create models in a wide variety of situations and isolate the most important contributing factors.

The largest discrepancies resulting from the simulation of individual components and the simulation can be identified and real-world experiments can be performed to fill in the missing pieces of understanding. The results can be recorded through a variety of instruments and abstracted computationally. This can be then integrated into the repository of models and simulations and models based on simulations can be updated to contain a higher accuracy result. Topological abstraction, or creating models from the results of other simulations, is utilized to reduce the computational power necessary or simulations. We can also model confidence of when these simplified models to determine when the simplified model is sufficient or when component simulation is necessary due to emergent complexity in edge cases.

Hierarchical Currency Instruments and Exchanges

To create a more effective economic system, we need to realize that different individuals and organizations have different capital efficiency or different abilities to create value from the same resources. For citizens, expenditure on different resources yields different results.

To capture this, we can create different currency instruments for each individual, organization, sectors, and philosophies. Each currency then has a continuously adjusted exchange rate for goods and services as well as other currencies. This reflects both the differing benefits and ability to utilize resources by different entities. Organizations can also serve to provide better exchange rates between parties as a proxy by continuously demonstrating that it can create good outcomes. If it fails to do so its exchange rates increase until it is no longer viable.

On a social level, we have currencies which have large scale initiatives such as energy, health, education which can provide gated exchange services after a review for the intended usage. This mechanism can capture the different desired usage of the same resources based on the intended usage. It also allows us to focus development and investment in different areas at different times based on the current situation.

Economic Disbursement & Alignment via Backpropagation

A successful economic system is which one which aligns the actions and benefits of all the individuals and organizations towards the collective good. Ideally each success brings wealth to each of the ideas and organizations which have contributed to that success, however the reality is that the produced value is held and controlled by organizations, especially corporations presently. Both corporations and foundations face challenges in figuring out the best way to utilize this capital towards both corporate and social advancement.

When a success occurs, it is often not only due to the ideas and organization of the present corporation, but also the systems of education, social security, public infrastructure, in addition to many other systems. However, since these contributions are more distant to the immediate success, they have a harder time justifying their return on value creation. This is long term detrimental to a society since the critical institutions which provide the foundations for social success are often not appropriately funded.

Through the techniques of factor analysis and backpropagation, we can both determine and deliver value to each part of the system which has contributed to a success, thus increasing the probability of more successes in the future. In addition, we can adjust the exchange rates between individual currency instruments which gives beneficial ideas and institutions more leverage to execute their missions.

Gaming and Virtual Reality Based Work

Regarding labor, humans can perform either manual labor or mental labor. The advantages of humans being applied to manual labor are their versatility. However as more tasks are being automated, the need for manual labor is decreasing throughout the world.

The efficiency of mental labor depends on structuring the work so that each person takes on an individual dimension of work that is both different than others but also useful to the whole. A successful division of mental labor allows for tools and platforms to be built more efficiently and human progress to accelerate.

The limitations for this lie in being able to provide the education and view and interface to a unique facet of the world. This has been historically difficult since many experiences are expensive to provide, and much work is required on the individual to build a mental model from sparse data, especially in more abstract domains. However, the advancement of simulated environments through gaming allows individuals to interact and learn with a model environment of the world and eventually to optimize in that domain. By providing visual representation of interactive data in many domains, we can allow individual to train and contribute in manners which would have been unreasonably costly in the past.

Conclusion

Merriam Webster defines organism as “a complex structure of interdependent and subordinate elements whose relations and properties are largely determined by their function in the whole.” The human body consists of a phenomenal number of cells, approximately 37 trillion individual cells. Without the evolution of a brain, organisms would have never been able to grow to that size. Each proposed part corresponds to a function of the brain which allows our complex and coordinated behavior. The simulation reflects our ability to think our strategies and potential outcomes without having to act them out. The modeling reflects our ability to generalize and model the outside world. The currencies reflect our ability to weigh different tasks differently and make trade-offs. And finally, the backpropagation reflects our ability to reward the behavior which have made us successful and squelch the behaviors which are detrimental to our wellbeing. As life on earth grows, we need a parallel mechanism to coordinate between all the parts of the world and serve as the mechanism for governance to create a better world for all.