About main premises, in the multiple initiatives of social decisions and collective intelligence, traditional voting processes are usually included. In the exploration of new methods, artificial intelligence is being used as a decision support tool and also as a way to replicate mental models to make predictions, but its design is often limited or biased by a dependence on human logic that is not always represents a reality.

Then the hypothesis to demonstrate whether or not it is a better decision (eco-efficient, eco-effectual, eco-effective) from a big problem or sufficiently complex scenario, through a more natural process of collective intelligence but of exogenous consciousness, than in comparison to the traditional way, the consciousness is distributed to individuals in a simple voting process.

In addition, it is intended to inspire the creation of systems based on this natural decisions model that allow the scope to be extended to other uses, such as a new way of making decisions for workteams, institutions, companies and other organizations. How to drive cognitive systems with human values?  all humans... but, what are values?

How?

(1) Problem scenarios design. Things to consider:
A problem scenario must be chosen or defined in a logical model of a dynamical system, which represents a reality in the most complete way possible. Collect as much of the measurements and data as possible related to the history of the scenario.

Here is an example of a problem list: "The Encyclopedia of World Problems & Human Potential" -  http://encyclopedia.uia.org/en/problems, and the relationship with the Sustainable Development Goals of United Nations.

(2) Preparation of the digital Geo brain structure that represents the scenario with geologic model, geomorphology, geolocation, scope measurements of the scenario, events and their effects. Types of input signals separation related to the scenario as a sense of the planet (including people sentiment), which will be used as isolated stimuli displayed for vote by participants (photographs, videos, measurements, information, changes, news, tags or messages, etc.)

In a more complete approach or depending on the complexity of the scenario, preparation may include use of Axiology and Ontology (information science) for characterization process of inputs (historical data, messages and signals), Semantic memory pre trained for the discovery of new factors and variables.

(3) Problem and solutions scenarios analysis exercise loop of five-step procedures per cycle, performed as Bottom-up flow from signals to abstract perceptions (see black arrows), and prediction attempts in reverse flow (see blue, red and orange arrows) 

I. The exercise begins with the deployment of a chosen Global problem scenario (P) to obtain the reactions of the first group of online users assigned to the first layer (Geo sensory array). This group is divided into subgroups that are assigned to the respective columns of isolated stimuli of the scenario {s1, s2, s3, ..., sk, ..., sn} compared to a history (Geo reference memory). Direct reactions and votes of other reactions are focused in locations, users submit watch partial features from top rated insights (Geo features). Other group of users submit own watch features (more complete or complex) from partial features. The last group of users submit in the fifth step an integration result of a problem scenario based on the most voted reactions and features (Geo cognitive layer)

A team of specialists will verify if the resulting scenario is feasible or aware enough as a variant of the problem modeled and simulated in this new perspective, in that case they send to next stage II an Improved global problem scenario (P') or else repeat from step 1.

II. This stage begins with a serial deployment of a tandem of Solutions scenarios (S) as approaches, elaborated proposals or a collective ideation process. The same steps are similar to the stage I.

A team of specialists will verify and evaluate if the resulting scenario is feasible or aware enough as most voted solution option, in that case they send the Natural solution (N). Each option must be simulated to pass a Naturalness Test as a combination of tests including First-Digit Law of Benford, probabilities of social behavior based on Quantum Cognition, OpenAI approach to alignment problems and others [in the cases that are applicable and without ruling out prematurely although some theories are still under development, indicating the corresponding warning]

(4) Evaluation of the natural results as decision options in the best quadrant of the axes: {+/- Economy, +/- Impact}

Who?

Thousands of people organized according to profile (physicists, biochemists, engineers, economists, entrepreneurs, philosophers, lawyers, meteorologists, oceanographers, sociologists, anthropologists, neurologists, psychologists, doctors, veterinarians, biologists, life scientists, farmers, ...)
and role of this process within a two-dimensional array distributed in abstraction levels (steps) and columns / class of signals (stimuli)

• Level 0: Reference memory and Geo sensory layer.

• Level 1: Geo locations layer.

• Level 2: Simple and complex Geo features layer.

• Level 3: Geo cognitive layer.

Each column is related to a type of stimulus signal isolated from the rest of the signals. The participants of each layer react to the respective stimuli, adding their responses or voting for the pre-existing ones.

We respect the level of individual human intelligence. Ways to get involved:

a) as a participant in the large scale experiments, reacting to stimuli from their own perspective, or voting for some other reaction.

As a participant in the experiment, you will also receive a note at the time the results are published, in which you can optionally decide on your preference for anonymous participation or appear on the acknowledgment list.

b) as a collaborator in the design of scenarios, experiments, measurements, systems, data analysis, tests and evaluations.

A small team of collaborators may be invited to participate in the main research for the publication of the results of the experiment as co-authors. Please indicate this on the registration form if you are interested in accessing the detailed design of the experiment and the complete definition of the model.

We believe that the best way to interact with human-computer is by collaborating with people with disabilities. We value talented and mission-driven individuals who are passionate about making a positive impact through the our Natural decision model. We celebrate the differences that people from all backgrounds bring and recognize the strength that different perspectives add to our creative problem solving. Insisting on equitable practices isn’t only right, it also helps us go further by enabling each person to realize their full potential.

Our Natural decision model is an interdisciplinary challenge, considering intercultural communication principles. We are looking to collaborate a wide range of people with diverse engineering, scientific, and operations expertise, in any of our current projects or to listen to a new proposal of new projects.

New projects

If you had access to an Earth data platform, providing a stream of timely, global information...

• (Long-term researchers) What questions would you like to explore in depth?

• (Makers) What applications would you build?

• (Engineers) What issue do you care to solve and what action would you take?

We want Ecopreneurs, a new generation of partners, developers, teams of specialists and diverse people to participate in this challenge of cybernetics design a planetary neural cortex, starting with a new model of more natural decisions, measure with the senses of the planet, process big data, train distributed memories prepared from Earth perspective, test simulations, discover significant new factors, redefine problems and evaluate the best economic solutions with high positive impact. A better future needs better decisions today.

A large scale experiment to connect humans
as one brain