Conceptronics is based on an expansion of the classical perceptron to contain conceptual content, context-sensitive threshold modulation and hence complex threshold- and transmitter-dynamicss. A conceptron is a well defined concept for a beginning state which will evolve in any conceptronic space towards equilibrium as a run of a conceptron. The theory about such systems may be referred to as conceptronics. The conceptronic interpretation of neural networks is suited for adaption for spintronics hardware and might pose a way to investigate synthetic life, delivering more elaborate scenarios then e.g. Conway’s game of life and cellular automatons.
The conceptronic theory is suited to encorporate both, physical simulations (toy worlds) as well as human language (semantic propagators). In the intuitive iteration of the theory, conceptrons undergo entropic principles targeting equilibrium and the simulation engine will bifurcate their behavior in any case of monotonicity. This is done to escalate cases of singular convergence for evaluation of implications for the top system, i.e. whether the convergence might cause problems or loss of integrity.
Conceptrons can load theories / logic or mathematical models into their trifold architecture with each branch being compatible to certain types of logic.
The values given to all primary branches are only fix for initial conditions and computation will run for any given time frame, in which the conceptron moves through conceptual space, being attracted or rejected by other conceptronic objects in the space.
CliYuGo is one example of putting conceptronics into programming languages. CliYuGe can pose novel learning and mnemonics techniques through conceptronic representation.
The computation expansion CliYuGo will allow synthesis of subjective CliYuGe with the root language CliYuGa.
A previous version of a CliYuGa-Type theory is given by gamified KEA model below.