Cognitive agent and its implementation in the blender game engine environment

Abstract

The paper presents a structural model of a cognitive agent and its Blender implementation. Built in a virtual world, the agent is able to act autonomously, observe its environment and learn from its actions using principles of motivated learning. We discuss both its organizational structure and tools we used to develop virtual implementation of the agent. In this paper, we explain why it is important to consider cognitive agent's model together with restrictions imposed by its sensory and motor functions and the properties of objects the agent interacts with in the virtual world.