How to generate new concepts by the #AGI system?

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A specific AGI-driven system is equipped with sensors and actuators according to the mission for which the system is being created. For the intelligent operation of sensors and actuators and the interpretation of the data received from them, the set of congenital knowledge includes entities corresponding to these commands and data. For the intelligent operation of sensors and actuators and interpretation of the data received from them, the set of congenital knowledge includes entities corresponding to these commands and data.

New concepts are formed by the AGI system when detecting repeating sequences of events, when detecting cause-effect relationships and when detecting stable structures in a dynamic model of a situation. The detection of structures, like cause-and-effect relationships, is based on generating hypotheses with their subsequent confirmation or refutation. The hypothesis of structure` presence is reduced to the assumption of the existence of quantitative invariants (the arguments of which are the attributes of the objects of the dynamic model of the situation).

Definition of structure memorized as a routine that tests the presence of invariants. The functions used as potential invariants are constructed from the component functions included in the AGI system as part of congenital knowledge (along with the description of sensors and actuators) that reflect the fundamental properties of the environment and do not depend on the mission. Unknown structures discovering and detecting objects with the known structure is efficiently parallelizable. The attention module controls the distribution of computing resources between tracking detected objects, identifying objects as the environment changes, and searching for new structures, depending on the assessment of the situation. For example, suppose a dynamic model of a situation includes (along with others) points A, B, and C. These three points can be viewed as a triangle ABC with sides whose lengths depend on time: Lab( t ), Lbc( t ), Lca( t ). If Lab( t ) / Lbc( t ) = 1 and Lbc( t ) / Lca( t ) = 1 at the time interval (t1, t2), this means that these three points formed an "equilateral triangle" structure/object in the indicated interval. The hypothesis, in this case, is reduced to the choice of three points as the components of the structure and the assumption of the constancy of the values of the two functions that determine the quantitative relations between the components. The hypothesis test checks that the values of the functions-relations are calculated for a series of moments in time; if they are constant in time, then the situation does not contradict the hypothesis. #machinelearning #AI #aiengineering #AIScience