About Concise Encyclopedia of Robotics book:
This really is an alphabetical reference about robotics and artificial intelligence (AI) for hobbyists, students, and people who are just curious about these technologies.

Computer systems and robots are right here to stay.We depend on them each and every day. Frequently we don’t notice them till they break down.We will get much more used to them, and a lot more reliant on them, as the long term unfolds.

This book is meant to be precise, but without too much math or jargon. It’s written with a single eye on nowadays and the other eye on tomorrow. Illustrations are functional; they are drawn with the intention of showing, clearly and merely, how things perform.

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Introduction:
The robots in this book were designed to imitate biological lifeforms. Watching the snake robot moving through a room, it is interesting to observe the surprised reactions of people when it quickly turns towards them. People actually regard the robot as being alive. I am struck with the thought that although these machines are not alive in our biological sense, they actually are alive, but as life-forms unto themselves. These artificially intelligent machines are the products of  uman imagination and technical understanding. As the technology advances, the line between living and non-living matter is slowly becoming blurred.

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Introduction
In school we learned many things: e.g. vocabulary, grammar, geography, solving mathematical equations, and coordinating movements in sports. These are very different things which involve declarative knowledge as well as procedural knowledge or skills in principally all fields. We are used to subsume these various processes of obtaining this knowledge and skills under the single word ?learning?. And, we learned that learning is important. Why is it important to a living organism?

Learning is a crucial capability if the effective environment cannot be foreseen in all relevant details, either due to complexity, or due to the nonstationarity of the environment. The mechanisms of learning allow nature to create and re-produce organisms or systems which can evolve ? with respect to the later given environment ?optimized behavior.

This is a fascinating mechanism, which also has very attractive technical perspectives. Today many technical appliances and systems are standardized and cost-efficient mass products. As long as they are non-adaptable, they require the environment and its users to comply to the given standard. Using learning mechanisms, advanced technical systems can adapt to the different given needs, and locally reach a satisfying level of helpful performance.

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