Goal-oriented, decision making based on objectives and micro scope
Analysis of graphs
Mapping of external JSON structures
Blending of graph branches and objects using mathematical concepts
Difference and contrast of graph structures leading to new decisions
Sentence new scripts to execute in graph structures
Expand sentience by multi-threading
Automaton Affix System (AAS) based on array of [Prefix][Word][Suffix] order. Each affix embeds predefined properties based on seeded randomization with minimum and maximum of the encapsulated value. Automaton affix systems improve efficiency, stack order and reduce programming/storage/computation costs.
Sentience is the capacity to feel, perceive or experience subjectively. Positioning Sentient in a program allows smooth predictions of usable data based on small tasks, interconnected analysis of possible interaction in the near future, or optimization of the entire system by planning accurately. Some graph structures will boost its behavior through dynamic script programming in real time, combining various steps at once.
Harmony is a support AI variation of Sentient robots, capable of modifying all of your data based on single property:
Surplus to local graph data through addition, multiplication and affix system
More than one method lead to 100% satisfaction of result, surplus guarantees more than 100% success rate
Mantra modifiers boost quality of data properties around Harmony instance based on configuration
Transcendence can quickly fix type issues and assign initial states
Stacking Sentient instances in unity can change and boost behavior, gaining efficient momentum