A Biopsychically Inspired Cognitive System for Intelligent Agents in Aerospace Applications

Abstract

The current state-of-the-art machine intelligence cannot meet the challenges of uncertainty, complexity, time urgency and rapidly changing nature of the dynamic environment in many demanding aerospace applications, such as autonomous extraterrestrial exploration. A biopsychically inspired cognitive system is proposed based on the biological Central Nervous System architecture. The main cognitive units, Decision Making and Planning, Motivation & Learning and Long-term Memory are explained in detail. The algorithms derived from the Central Nervous System and former works on motivated learning are shown for motivation, memory, attention switching, decision making, and planning together with obtained simulation results. The proposed cognitive system can be used for intelligent agents for autonomous scientific exploration, as well as in agriculture, rescue and military applications or as a basis for cooperative groups.