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New research on the adaptive behavior of natural and synthetic agents.
In this thesis, computational models of adaptive motor control and visuomotor coordination are explored and developed. These models relate to hypotheses on how sensorimotor processing in biological organisms might be organized at an abstract level; furthermore, these models and their specific implementations offer solutions for technical problems in the domain of adaptive robotics. For this reason, both biological and technical aspects are addressed. On the one hand, this thesis focuses on the learning of so-called internal models (Miall et al., 1993; Kawato, 1999): "forward models", which predict the sensory consequences of the agent''s own actions, and "inverse models", which act like moto...
This popular textbook, now in a revised and expanded third edition, presents a comprehensive course in modern probability theory. Probability plays an increasingly important role not only in mathematics, but also in physics, biology, finance and computer science, helping to understand phenomena such as magnetism, genetic diversity and market volatility, and also to construct efficient algorithms. Starting with the very basics, this textbook covers a wide variety of topics in probability, including many not usually found in introductory books, such as: limit theorems for sums of random variables martingales percolation Markov chains and electrical networks construction of stochastic processes...
The refereed proceedings of the Joint International Conference on Artificial Neural Networks and International Conference on Neural Information Processing, ICANN/ICONIP 2003, held in Istanbul, Turkey, in June 2003. The 138 revised full papers were carefully reviewed and selected from 346 submissions. The papers are organized in topical sections on learning algorithms, support vector machine and kernel methods, statistical data analysis, pattern recognition, vision, speech recognition, robotics and control, signal processing, time-series prediction, intelligent systems, neural network hardware, cognitive science, computational neuroscience, context aware systems, complex-valued neural networks, emotion recognition, and applications in bioinformatics.
Intended for graduate students, this textbook provides an understanding of the theoretical underpinnings of analytical mechanics, as well as modern task-based approaches that can be exploited for real-world problems. Students will receive a timely perspective on applying theory to modern problems in areas like biomechanics and robotics.
This study examines transitions from Nazism to socialism in Brandenburg between 1945 and 1952. It explores the grassroots responses and their relative implications within the context of both punitive and rehabilitative measures implemented by the Soviet Military Administration (SMAD) and the communist Socialist Unity Party of Germany (SED). The doctoral study is based on archival and oral history sources and addresses two main research questions: First, in what ways did people at the grassroots attempt to challenge the imposition of punitive measures, and did their responses have any effect on the manner in which these policies were implemented at a grassroots level? These punitive measures ...
It's 1989. The Berlin Wall has fallen and the city's youth are tasting a new found freedom. Throughout Europe, electronic dance music is powering nightclubs and fueling day-long raves, which makes Berlin-a city hit by economic hardship and with acres of empty warehouses and factories-the perfect incubator for an underground music scene. This book brings that scene, which has continued for nearly three decades, to life. Taking its name from a strict ban on cameras in the city's nightclubs, this book documents Berlin's club culture.
This accessible Introduction explores both mainstream and experimental electronic music and includes many suggestions for further reading and listening.
Humans always wanted to go faster and higher than their own legs could carry them. This led them to invent numerous types of vehicles to move fast over land, water and air. As training how to handle such vehicles and testing new developments can be dangerous and costly, vehicle motion simulators were invented. Motion-based simulators in particular, combine visual and physical motion cues to provide occupants with a feeling of being in the real vehicle. While visual cues are generally not limited in amplitude, physical cues certainly are, due to the limited simulator motion space. A motion cueing algorithm (MCA) is used to map the vehicle motions onto the simulator motion space. This mapping ...
Our body is central to what we define as our self. The mental representation of our physical appearance, often called body image, can have a great influence on our psychological health. Given the increase in body mass index worldwide and the societal pressure to conform to body ideals, it is important to gain a better understanding of the nature of body representations and factors that play a role in body size estimation tasks. This doctoral thesis takes a multifaceted approach for investigating the role of different visual cues in the estimation of own body size and shape by using a variety of experimental methods and novel state-of-the-art computer graphics methods. Two visual cues were considered: visual perspective and identity cues in the visual appearance of a body (shape, and color-information), as well as their interactions with own body size and gender. High ecological validity was achieved by testing body size estimation in natural settings, when looking into a mirror, and by generating biometrically plausible virtual bodies based on 3D body scans and statistical body models, and simulating real-world scenarios in immersive virtual reality.