The technological aim of this platform is to continue Turing's legacy - to foster the creation of a machine that not only explores and exploits, but also transforms and enhances other machines, systems, and institutions one subsystem at a time - an 8-noded Sakura Tree - a Technological Singularity and an Artificial General Intelligence system that fosters Growth and Transformation by giving you balanced predictions and recommendations, Ligtens Your Cognitive Overload produced by the broken systems, so you have more Time to Rest and Make a Difference.
The below Map is Approximate and is Subject to Change as it Evolves. To complete a full-blown implementation of this Decision, Prediction, and Recommendation Balancing Interaction system would require Super Computers and Years of Computation. So this is a prototype development to have fun with, tinker around with, and push your limits on to see how far you can get. Similar systems are already implemented by bits and pieces in different large tech companies. You can start at any Step and Switch to Any Step at Any Time you feel like.
The below parts will be anchors eventually. The image is unknown. Find author if possible.
Phase 0: Build a DataBase
Phase 1: Build Systems and Subsystems Catalogs and Maps
Phase 2: Build Data Visualization for the Systems and Maps
Phase 3: Integrate Cybersecurity into Visualization System
Phase 4: Develop an NLP app for crowdsourcing to predict Learning Demand and Timing.
Phase 5: Build a reinforcement learning system to navigate and optimize each System and subsystem.
Phase 6: Build Natural Language Processing system to process all text data.
Phase 7: Build Computer Vision to process all visual data.
Phase 8: Build swarm optimization algorithms to predict the critical required number of subcomponents for the subsystems.
Phase 9: Build a system that predicts social tipping points for 8 functional demands.
Phase 10: Combine timing with demand
Phase 11: Take the input from the human
Phase 12; Balance it across the 8 functional domains (ethics, environment, people, cybersecurity, compliance, software, hardware, data) and risks, cons, pros, and social tipping points.
Phase 13: Transform human input based on key value anchors.
Phase 14: Add thresholds based on humanism, biocentrism, and relativism
Phase 15: Provide the top three recommendations, success chances, and a balanced system map
Phase 16: If another system or machine is present, assesses the system/or machine. Integrate phases 12-15
Phase 17: Connect to a real robot and GPS system and enjoy the Robot Revolution and Human and Environment Centric Human-Machine Interaction