Bücher von Gerhard Weiß

An absolute beginners guitar pedal guide: If you'd like to learn how to make a guitar pedal but have no idea how, then you've picked up the right guide. This book is a great way to get started in discovering a fun and highly rewarding pastime, even if you've no experiencein electronics at all; We'll take you through all the steps of building your first guitar pedal from beginning to end including soldering school, case construction, and circuit making. Each section is filled with pictures and diagrams, so it's perfect for beginners.The pedal we'll be making is a killswitch pedal - a simple but ideal first pedal (plus it's cheap!). Worried you won't be able to find the parts? Don't stress: parts have been listed (along with part numbers) from shops based in the UK, USA and Europe.

This volume contains the postproceedings of the 1st International Workshop on Computational Autonomy - Potential, Risks, Solutions (AUTONOMY 2003), held at the 2nd International Joint Conference on Autonomous Agents and Multi-agentSystems(AAMAS2003),July14,2003,Melbourne,Australia.Apart from revised versions of the accepted workshop papers, we have included invited contributions from leading experts in the ?eld. With this, the present volume represents the ?rst comprehensive survey of the state-of-the-art of research on autonomy, capturing di?erent theories of autonomy, perspectives on autonomy in di?erent kinds of agent-based systems, and practical approaches to dealing with agent autonomy. Agent orientation refers to a software development perspective that has evolved in the past 25 years in the ?elds of computational agents and multiagent systems. The basic notion underlying this perspective is that of a computational agent, that is, an entity whose behavior deserves to be called ?exible, social, and autonomous. As an autonomous entity, an agent possesses action choice and is at least to some extent capable of deciding and acting under self-control. Through its emphasis on autonomy, agent orientation signi?cantly di?ers from traditional engineering perspectives such as structure orientation or object o- entation. These perspectives are targeted on the development of systems whose behavior is fully determined and controlled by external units (e.g., by a p- grammer at design time and/or a user at run time), and thus inherently fail to capture the notion of autonomy.

Over the past three decades, software engineers have derived a progressively better understanding of the characteristics of complexity in software. It is now widely recognised thatinteraction is probably the most important single char- teristic of complex software. Software architectures that contain many dyna- cally interacting components, each with their own thread of control, and eng- ing in complex coordination protocols, are typically orders of magnitude more complex to correctly and e?ciently engineer than those that simply compute a function of some input through a single thread of control. Unfortunately, it turns out that many (if not most) real-world applications have precisely these characteristics. As a consequence, a major research topic in c- puter science over at least the past two decades has been the development of tools and techniques to model, understand, and implement systems in which interaction is the norm. Indeed, many researchers now believe that in future computation itself will be understood as chie?y a process of interaction.