Knowledge Exchange between Agents in Real-Time Environments

To obtain unpredictable social interaction between autonomous agents in real-time environments, we present a simple method for logic-based knowledge exchange. A method which is able to form new knowledge rather than do simple exchange of particular rules found in predetermined rule sets. The applicability of our concept is demonstrated through a simple visualization of a real-time 3D environment, where agents seek to persuade opponents to join their team. This is done through cooperation with friends and education of neutral agents.