Multiple-Valued Logic, Vocabulary Structure, and Linked List for Data Verification in Dialog Communications of Agents
Alexey Yu. Bykovsky · Applied Sciences · 2025
Distant verification of the autonomous agent’s parameters in the dialog mode is a difficult multi-parametric task if the large-scale scene of action is characterized by a large number of collaborative and rival robots. The possible scheme to realize it for mass robots is to use non-exhaustive and selective data verification, combining the polling of internal subsystems and external data storage in collaborating network agents. Selective extraction of data for such checks is proposed to involve the special ordered set of vocabularies, containing coded digital words and classifying parameters of agents, tasks, objects, and events. The structure of such vocabularies is to be combined with various versions of the linked list scheme, known in blockchain and actual for protective documenting of critical data. Multiple-valued logic is used here as the convenient method to provide autonomous navigation in a multi-parametric structure of data and verification variables.