Behaviorial finite automata and neural models

A system comprising:

• a memory configured to store a set of instructions;
• a processor configured to be in communication with the memory, the processor being configured to execute the set of instructions stored in the memory to:
• receive entity data related to an entity;
• construct a finite automaton associated with the entity based on the entity data, wherein the finite automaton comprises a finite set of states, each state represents a sentiment and each state is assigned with a symbol, and the finite automaton accepts a language representing a set of behaviors;
• receive a request comprising an input behavior string, wherein the input behavior string comprises a sequence of at least one behavior;
• apply the input behavior string on the finite automaton to determine an output string, wherein the output string comprises a sequence of symbols assigned to a sequence of states among the finite set of states;
• identify at least one neural model mapped to the output string, wherein the identified neural model comprises logic that facilitates interpretation of a cause of the behaviors among the input behavior string;
• and
• generate recommendation data using the identified neural model, wherein the recommendation data comprises a recommendation to address the behaviors among the input behavior string.

A computer program product for generating recommendation data to address behaviors exhibited by an entity, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processing element of a device to cause the device to:

• receive entity data related to the entity;
• construct a finite automaton associated with the entity based on the entity data, wherein the finite automaton comprises a finite set of states, each state represents a sentiment and each state is assigned with a symbol, and the finite automaton accepts a language representing a set of behaviors;
• receive a request comprising an input behavior string, wherein the input behavior string comprises a sequence of at least one behavior;
• apply the input behavior string on the finite automata to determine an output string, wherein the output string comprises a sequence of symbols assigned to a sequence of states among the finite set of states;
• identify at least one neural model mapped to the output string, wherein the identified neural model comprises logic that facilitates interpretation of a cause of the behaviors among the input behavior string;
• and
• generate recommendation data using the identified neural model, wherein the recommendation data comprises a recommendation to address the behaviors among the input behavior string.