人工智能简介(Springer 2011)Artificial Intelligence, Introduction (Springer 2011).doc
《人工智能简介(Springer 2011)Artificial Intelligence, Introduction (Springer 2011).doc》由会员分享,可在线阅读,更多相关《人工智能简介(Springer 2011)Artificial Intelligence, Introduction (Springer 2011).doc(327页珍藏版)》请在得力文库 - 分享文档赚钱的网站上搜索。
1、Wolfgang ErtelIntroduction to Artificial IntelligenceTranslated by Nathanael Black With illustrations by Florian MastProf. Dr. Wolfgang ErtelFB Elektrotechnik und InformatikHochschule Ravensburg-WeingartenUniversity of Applied SciencesWeingartenGermanyertelhs-weingarten.deSeries editorIan MackieAdvi
2、sory boardSamson Abramsky, University of Oxford, Oxford, UKKarin Breitman, Pontifical Catholic University of Rio de Janeiro, Rio de Janeiro, Brazil Chris Hankin, Imperial College London, London, UK Dexter Kozen, Cornell University, Ithaca, USAAndrew Pitts, University of Cambridge, Cambridge, UKHanne
3、 Riis Nielson, Technical University of Denmark, Kongens Lyngby, Denmark Steven Skiena, Stony Brook University, Stony Brook, USA Iain Stewart, University of Durham, Durham, UKISSN 1863-7310ISBN 978-0-85729-298-8 e-ISBN 978-0-85729-299-5 DOI 10.1007/978-0-85729-299-5Springer London Dordrecht Heidelber
4、g New YorkBritish Library Cataloguing in Publication DataA catalogue record for this book is available from the British LibraryLibrary of Congress Control Number: 2011923216Originally published in the German language by Vieweg+Teubner, 65189 Wiesbaden, Germany, as “Ertel, Wolfgang: Grundkurs Knstlic
5、he Intelligenz. 2. rev. edition”. Vieweg+Teubner | GWV Fachverlage GmbH, Wiesbaden 2009 Springer-Verlag London Limited 2011Apart from any fair dealing for the purposes of research or private study, or criticism or review, as per-mitted under the Copyright, Designs and Patents Act 1988, this publicat
6、ion may only be reproduced, stored or transmitted, in any form or by any means, with the prior permission in writing of the publish-ers, or in the case of reprographic reproduction in accordance with the terms of licenses issued by the Copyright Licensing Agency. Enquiries concerning reproduction ou
7、tside those terms should be sent to the publishers.The use of registered names, trademarks, etc., in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant laws and regulations and therefore free for general use.The publisher makes
8、no representation, express or implied, with regard to the accuracy of the information contained in this book and cannot accept any legal responsibility or liability for any errors or omissions that may be made.Printed on acid-free paperSpringer is part of Springer Science+Business Media ()PrefaceArt
9、ificial Intelligence (AI) has the definite goal of understanding intelligence and building intelligent systems. However, the methods and formalisms used on the way to this goal are not firmly set, which has resulted in AI consisting of a multitude of subdisciplines today. The difficulty in an introd
10、uctory AI course lies in conveying as many branches as possible without losing too much depth and precision.Russell and Norvigs book RN10 is more or less the standard introduction into AI. However, since this book has 1,152 pages, and since it is too extensive and costly for most students, the requi
11、rements for writing this book were clear: it should be an accessible introduction to modern AI for self-study or as the foundation of a four-hour lecture, with at most 300 pages. The result is in front of you.In the space of 300 pages, a field as extensive as AI cannot be fully covered. To avoid tur
12、ning the book into a table of contents, I have attempted to go into some depth and to introduce concrete algorithms and applications in each of the following branches: agents, logic, search, reasoning with uncertainty, machine learning, and neural networks.The fields of image processing, fuzzy logic
13、, and natural language processing are not covered in detail. The field of image processing, which is important for all of computer science, is a stand-alone discipline with very good textbooks, such as GW08. Natural language processing has a similar status. In recognizing and gen-erating text and sp
14、oken language, methods from logic, probabilistic reasoning, and neural networks are applied. In this sense this field is part of AI. On the other hand, computer linguistics is its own extensive branch of computer science and has much in common with formal languages. In this book we will point to suc
15、h appropriate systems in several places, but not give a systematic introduction. For a first introduc-tion in this field, we refer to Chaps. 22 and 23 in RN10. Fuzzy logic, or fuzzy set theory, has developed into a branch of control theory due to its primary application in automation technology and
16、is covered in the corresponding books and lectures. Therefore we will forego an introduction here.The dependencies between chapters of the book are coarsely sketched in the graph shown below. To keep it simple, Chap. 1, with the fundamental introduc-tion for all further chapters, is left out. As an
17、example, the thicker arrow from 2 to 3 means that propositional logic is a prerequisite for understanding predicate logic. The thin arrow from 9 to 10 means that neural networks are helpful for un-derstanding reinforcement learning, but not absolutely necessary. Thin backwardvviPrefacearrows should
18、make clear that later chapters can give more depth of understanding to topics which have already been learned.This book is applicable to students of computer science and other technical natural sciences and, for the most part, requires high school level knowledge of mathemat-ics. In several places,
19、knowledge from linear algebra and multidimensional analysis is needed. For a deeper understanding of the contents, actively working on the ex-ercises is indispensable. This means that the solutions should only be consulted after intensive work with each problem, and only to check ones solutions, tru
20、e to Leonardo da Vincis motto “Study without devotion damages the brain”. Somewhat more difficult problems are marked with , and especially difficult ones with . Problems which require programming or special computer science knowledge are labeled with .On the books web site at www.hs-weingarten.de/e
21、rtel/aibook digital materi-als for the exercises such as training data for learning algorithms, a page with refer-ences to AI programs mentioned in the book, a list of links to the covered topics, a clickable list of the bibliography, an errata list, and presentation slides for lecturers can be foun
22、d. I ask the reader to please send suggestions, criticisms, and tips about errors directly to ertelhs-weingarten.de.This book is an updated translation of my German book “Grundkurs Knstliche Intelligenz” published by Vieweg Verlag. My special thanks go to the translator Nathan Black who in an excell
- 配套讲稿:
如PPT文件的首页显示word图标,表示该PPT已包含配套word讲稿。双击word图标可打开word文档。
- 特殊限制:
部分文档作品中含有的国旗、国徽等图片,仅作为作品整体效果示例展示,禁止商用。设计者仅对作品中独创性部分享有著作权。
- 关 键 词:
- 人工智能,简介Springer 2011Artificial Intelligence Introduction Springer 2011 人工智能 简介 Springe
链接地址:https://www.deliwenku.com/p-80674126.html
限制150内