Adaptation of a distributed controller depending on morphology

In this paper, we investigate the influence of an agent's morphology on its neural controller. Our model consists of a number of identical modules, each of which comprises two half-wheels for movement and a central pattern generator (CPG) as its own neural control. Based on a series of simulation experiments, we conclude that one single type of CPG can adapt well to different types of morphologies, and that there seems to be a suitable or optimal morphology depending on the environmental given

Adaptation of a distributed controller depending on morphology

In this paper, we investigate the influence of an agent’s morphology on its neural controller. Our model consists of a number of identical modules, each of which comprises two half-wheels for movement and a central pattern generator (CPG) as its own neural control. Based on a series of simulation experiments, we conclude that one single type of CPG can adapt well to different types of morphologies, and that there seems to be a suitable or optimal morphology depending on the environmental givens

1. Vortrag (18.03.2010): Die "ShanghAI Lectures"

Inhalt: Vorlesung via Videokonferenz; Website für die Community; Virtuelle Arbeitsumgebun

The ShanghAI Lectures: A global education project on artificial intelligence

We present a global education project in Artificial Intelligence (AI) called the “ShanghAI Lectures”: A lecture series held annually via videoconference among 15 to 20 universities around the globe. The lectures are complemented by a novel three-dimensional collaborative virtual environment for international student teamwork, and a web-based resource designed as a knowledge base and for community building. This paper summarizes the lessons learned from the first edition of the ShanghAI Lectures, which may guide future global teaching and learning projects of this kind

The ShanghAI Lectures: A Global Education Project on Artificial Intelligence

We present a global education project in Artificial Intelligence (AI) called the "ShanghAI Lectures": A lecture series held annually via videoconference among 15 to 20 universities around the globe. The lectures are complemented by a novel three-dimensional collaborative virtual environment for international student teamwork, and a web-based resource designed as a knowledge base and for community building. This paper summarizes the lessons learned from the first edition of the ShanghAI Lectures, which may guide future global teaching and learning projects of this kind