EXAMPLES OF COLI-SYSTEMS
Systems on Nanquanu's research and development roadmap include:
The Nanquademy: (NQy for short) is a portmanteau of "Nanquanu" and "Academy". It is a novel way to effectively develop effective learning environments through collective self-organisation with a sophisticated blend of crowdsourcing and information technologies, such as "A.I" and "smart algorithms". It is intended to form a major step forward in the evolution of human learning. It has been subjected to extensive research and development effort over years. It is in an experimental stage of development.
Dunnowanno: (stands for "didn't know I wanted to know") never again make an unnecessary and costly mistake that another person already made. Think of tax mistakes that cost you 1000 euros, a mistake that destroys an expensive item you just bought, or a mistake that may even cause severe injuries. So, share pitfalls in an unprecedentedly effective and inspiring way, using an advanced blend of crowd-sourcing, such as collaborative filtering, a system based on human-guided and evolution, and knowledge representation and reasoning and other AI approaches, and prevent others from stepping into them.
Societal Crowd-Caching (NQ-SCC): We find ourselves in a society in which most people lack sufficient essential knowledge. Such a society cannot act sufficiently wise. Consequently, it cannot sustain a healthy and balanced condition. Despite the internet's vast repository of information, key issues such as human-induced global warming and effective responses to pandemics remain unresolved for many, resulting in widespread poor decision-making. Access to information does not guarantee its balanced dissemination, nor its comprehension. Challenges include determining impartial, balanced information; fostering trust in the selection process; aiding understanding and retention of information; addressing time constraints; breaking through social bubbles that reinforce biases; and countering deliberate misinformation. NQ-SCC (Nan Quanu’s Societal Crowd-Caching) proposes a collective intelligence system leveraging crowdsourcing and complementary algorithms to address these challenges with unprecedented efficacy.
An evolutionary theory inspired problem solving system: optimises problem solving strategies for groups by using principles from evolutionary theory and crowd sourcing.