Methods and Algorithms (Modeling of Reasoning) to Synthesize Intellectual Behavior of Autonomous Mobile Robots and Program Complexes Based on Received Reasoning Models

The article illustrates the methods and algorithms to model processes of reasoning and decision-making for autonomous program and robotic systems based on multi-agent neurocognitive architectures. Moreover, the algorithm to synthesize intellectual goal-directed behavior of an autonomous agent in the real-world environment is specified. In particular the multi-agent algorithms to create cause-effect relations and form a problem situation graph are described aimed at searching for suboptimal solution path of the task assigned to the robot. In the long run the developed models will make it possible to create an effective and safe system for intellectual control of robots under the real-world environment conditions that are hard to forecast.