Unicist Artificial Intelligence to Emulate and Manage Complex Adaptive Systems

Abstract

Unicist artificial intelligence was researched and developed to manage complex adaptive systems and environments dealing with the root causes and root drivers of their functionality. The first development was an intelligent system named “STRAT”, in 1986, that used a unicist ontological approach with mathematical resolution. Unicist AI allows monitoring adaptive solutions by using the unicist double dialectical logic that emulates the intelligence that underlies nature. The unicist AI allows building monitors to emulate and develop adaptive systems in social, economic and business environments. Unicist AI is based on the ontogenetic maps of the functions of the adaptive systems or environments that are being managed. These ontogenetic maps describe the underlying concepts and fundamentals that define the root causes of the functionality of an adaptive system. They are an emulation of the triadic ontogenetic intelligence of nature and define the structure of the unicist artificial intelligence. Unicist AI emulates the reflection process of human intelligence to apprehend the unified field of complex adaptive entities, using two functions to make this possible: The learning function and the decision function. The ontogenetic maps define the different objects that integrate the adaptive system that allow developing the necessary pilot tests that drive the learning process. The decision making function of a Unicist AI approach to reality, allows making automated decisions that work as conscious decisions based on the recycling though the learning function.