Can psychoanalysis offer a new computer model? Can computer designers help psychoanalysts to understand their theory better?In contemporary publications human psyche is often related to neural networks. Why? The wiring in computers can also be related to application software. But does this really make sense?

Artificial Intelligence has tried to implement functions of human psyche. The reached achievements are remarkable; however, the goal to get a functional model of the mental apparatus was not reached. Was the selected direction incorrect?The editors are convinced: yes, and they try to give answers here. If one accepts that the brain is an information processing system, then one also has to accept that computer theories can be applied to the brain s functions, the human mental apparatus.

The contributors of this book - Solms, Panksepp, Sloman and many others who are all experts in computer design, psychoanalysis and neurology are united in one goal: finding synergy in their interdisciplinary fields."

The book presents an outline of current activities in the field of biomimetics and integrates a variety of applications comprising biophysics, surface sciences, architecture and medicine. Biomimetics as innovation method is characterised by interdisciplinary information transfer from the life sciences to technical application fields aiming at increased performance, functionality and energy efficiency. The contributions of the book relate to the research areas: - Materials and structures in nanotechnology and biomaterials - Biomimetic approaches to develop new forms, construction principles and design methods in architecture - Information and dynamics in automation, neuroinformatics and biomechanics Readers will be informed about the latest research approaches and results in biomimetics with examples ranging from bionic nano-membranes to function-targeted design of tribological surfaces and the translation of natural auditory coding strategies.

Can psychoanalysis offer a new computer model? Can computer designers help psychoanalysts to understand their theory better?In contemporary publications human psyche is often related to neural networks. Why? The wiring in computers can also be related to application software. But does this really make sense?

Artificial Intelligence has tried to implement functions of human psyche. The reached achievements are remarkable; however, the goal to get a functional model of the mental apparatus was not reached. Was the selected direction incorrect?The editors are convinced: yes, and they try to give answers here. If one accepts that the brain is an information processing system, then one also has to accept that computer theories can be applied to the brain's functions, the human mental apparatus.

The contributors of this book - Solms, Panksepp, Sloman and many others who are all experts in computer design, psychoanalysis and neurology are united in one goal: finding synergy in their interdisciplinary fields.

The book presents an outline of current activities in the field of biomimetics and integrates a variety of applications comprising biophysics, surface sciences, architecture and medicine. Biomimetics as innovation method is characterised by interdisciplinary information transfer from the life sciences to technical application fields aiming at increased performance, functionality and energy efficiency. The contributions of the book relate to the research areas: - Materials and structures in nanotechnology and biomaterials - Biomimetic approaches to develop new forms, construction principles and design methods in architecture - Information and dynamics in automation, neuroinformatics and biomechanics Readers will be informed about the latest research approaches and results in biomimetics with examples ranging from bionic nano-membranes to function-targeted design of tribological surfaces and the translation of natural auditory coding strategies.

The ongoing technological development in the fields of sensors, actuators as well as embedded systems leads to more and more complex and larger building automation systems. These systems allow ever-better observations of activities in buildings with a rapid growing number of possible applications. This work investigates how statistical methods can be applied to (future) building automation systems to recognize erroneous behavior and to extract semantic and context information from sensor data. A hierarchical model structure based on hidden Markov models is proposed to establish a framework for learning about daily routines. The lower levels of the model structure are used to observe the sensor values themselves whereas the higher levels provide a basis for the semantic interpretation of what is happening in the building. This book is of interest for researchers active in science and development of future context aware system for surveillance, observation, or ambient assistance as well as for all individuals interested in trends in building automation.