A Short Review on Ethological Behavior Modelling Techniques

Absztrakt

Ethological behavior modeling techniques offer a structured framework for analyzing and comparing animal behaviors by identifying patterns within specific environmental contexts. These models have gained increasing prominence in robotics due to their potential to address challenges in human-machine interaction and enable autonomous systems to function effectively in complex, real-world settings. By mimicking animal responses to dynamic stimuli, ethologically inspired models enhance the adaptability and responsiveness of robotic systems. This paper reviews key ethological behavioral models, including those proposed by Tinbergen, Lorenz, and Gerard Baerends, with particular emphasis on two contemporary methodologies: knowledge-based ethologically influenced behavioral design and situated action-based behavior. These approaches highlight the importance of environmental adaptability and iterative refinement, illustrating the benefits of interdisciplinary collaboration between ethology and information sciences.