Sven Behnke – författare

Metaphors are a vital linguistic component of religious speech and serve as a cultural indicator of how groups understand themselves and the world. The essays compiled in this volume analyze the use, function, and structure of metaphors in Jewish writings from the Hellenistic-Roman period (including the works of Philo and the texts of Qumran), as well as in apocryphal early Christian texts and inscriptions.

The papers present current research in the fields of robotics and artificial intelligence with a special focus to robot hardware and software, environment perception, action planning and control, robot learning, multi-robot systems, and human-robot interaction.

Human performance in visual perception by far exceeds the performance of contemporary computer vision systems. While humans are able to perceive their environment almost instantly and reliably under a wide range of conditions, computer vision systems work well only under controlled conditions in limited domains.This book sets out to reproduce the robustness and speed of human perception by proposing a hierarchical neural network architecture for iterative image interpretation. The proposed architecture can be trained using unsupervised and supervised learning techniques. Applications of the proposed architecture are illustrated using small networks. Furthermore, several larger networks were trained to perform various nontrivial computer vision tasks.