Bibliothek/Fachbücher zum Studium I
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Informatik
- Artificial Intelligence – Agents and Environments (en)
Autor William John Teahan, ISBN 978-87-7681-528-8, 1. Edition, 154 Seiten,
Beschreibung
This book is the first in a series on Artificial Intelligence. It provides an introduction to the topic with an emphasis on the use of agent-oriented design. Topics include agents, environments, agent movement, and agent embodiment. It also provides an introduction to programming in NetLogo. Accompanying the book is a series of exercises and NetLogo models (with source code and documentation) which can be run directly from an applet or downloaded at: NetLogo Models for Artificial Intelligence.
Inhalt : (gekürzt)
- Preface
- AI programming languages and NetLogo
- Conventions used in this book series
- Volume Overview
- Acknowledgements
- Dedication
- Introduction
- Agents and Environments
- Frameworks for Agents and Environments
- Movement
- Embodiment
- References
- Artificial Intelligence – Agent Behaviour I (en)
Autor William John Teahan, ISBN 978-87-7681-559-2, 1. Edition, 240 Seiten,
Beschreibung
This book is the second in a series on Artificial Intelligence. It adopts a behaviour-based approach to the design of agent-oriented systems. Topics covered from a behaviour-based perspective include agent communication, searching, knowledge and reasoning, and intelligence. Accompanying the book is a series of exercises and NetLogo models (with source code and documentation) which can be run directly from an applet or downloaded at: NetLogo Models for Artificial Intelligence.
Inhalt : (gekürzt)
- Behaviour
- Communication
- Search
- Knowledge
- Intelligence
- References
- Artificial Intelligence: Exercises I - Agents and Environments (en)
Autor William John Teahan, ISBN 978-87-7681-591-2, 1. Edition, 165 Seiten,
Beschreibung -
Inhalt : (gekürzt)
- Introduction
- Agents and Environments
- Frameworks for Agents and Environments
- Movement
- Embodiment
- Solutions to Selected Exercises
- Artificial Intelligence: Exercises II - Agent Behaviour I (en)
Autor William John Teahan, ISBN 978-87-7681-592-9, 1. Edition, 202 Seiten,
Beschreibung -
Inhalt : (gekürzt)
- Behaviour
- Communication
- Search
- Knowledge
- Intelligence
- Solutions to Selected Exercises
- Large Scale Data Handling in Biology (en)
Autor Karol Kozak, ISBN 978-87-7681-555-4, 1. Edition, 53 Seiten,
Beschreibung
Data Handling in Biology--the application of computational and analytical methods to biological problems--is a rapidly evolving scientific discipline. Written in a clear, engaging style, Large Scale Data Handling in Biology is for scientists and students who are learning computational approaches to biology. The book covers the data storage system, computational approaches to biological problems, an introduction to workflow systems, data mining, data visualization, and tips for tailoring existing data analysis software to individual research needs.
Inhalt : (gekürzt)
- Large Scale Data Handling in Biology
- What to Do with All the Data?
- Data Storage, Backup and Archiving Architecture
- Workflow Systems
- Database Development: Laboratory Information Management Systems and Public Databases
- References
- Digital Image Processing: Part I (en)
Autor Huiyu Zhou, Jiahua Wu, Jianguo Zhang, ISBN 978-87-7681-541-7, 1. Edition, 72 Seiten,
Beschreibung
This book (vol.1 and vol.2) introduces the fundamental theories of modern digital image processing including intensity transformations, filtering in the frequency and spatial domain, restoration, colour processing, morphological operations, and segmentation. It aims to help the students, scientists, and practitioners to understand the concepts through illustrations and examples.
Vorwort
Digital image processing is an important research area. The techniques developed in this area so far require to be summarized in an appropriate way. In this book, the fundamental theories of these techniques will be introduced. Particularly, their applications in image denoising, restoration, and segmentation will be introduced. The entire book consists of four chapters, which will be subsequently introduced.
In Chapter 1, basic concepts in digital image processing are described. Chapter 2 will see the details of image transform and spatial filtering schemes. Chapter 3 introduces the filtering strategies in the frequency domain, followed by a review of image restoration approaches described in Chapter 4.
Inhalt : (gekürzt)
- 1. Introduction
- Summary
- References
- Problems
- 2. Intensity transformations and spatial filtering
- Summary
- References
- Problems
- 3. Filtering in the Frequency Domain
- Summary
- References and Further Reading
- Problems
- 4. Image Restoration
- Summary
- References
- Problems
- Digital Image Processing: Part II (en)
Autor Huiyu Zhou, Jiahua Wu, Jianguo Zhang, ISBN 978-87-7681-542-4, 1. Edition, 91 Seiten,
Beschreibung
This book (vol.1 and vol.2) introduces the fundamental theories of modern digital image processing including intensity transformations, filtering in the frequency and spatial domain, restoration, colour processing, morphological operations, and segmentation. It aims to help the students, scientists, and practitioners to understand the concepts through illustrations and examples.
Vorwort
Digital image processing is an important research area. The techniques developed in this area so far require to be summarized in an appropriate way. In this book, the fundamental theories of these techniques will be introduced. Particularly, their applications in the image enhancement are briefly summarized. The entire book consists of three chapters, which will be subsequently introduced.
Chapter 1 reveals the challenges in colour image processing in addition to potential solutions to individual problems. Chapter 2 summarises state of the art techniques for morphological process, and chapter 3 illustrates the established segmentation approach.
Inhalt : (gekürzt)
- 1. Colour Image Processing
- Summary
- References
- Problems
- 2. Morphological Image Processing
- Summary
- References and further reading
- Problems
- 3. Image Segmentation
- Summary
- References and further reading
- Problems
- Applications of Prolog (en)
Autor Attila Csenki, ISBN 978-87-7681-514-1, 1. Edition, 203 Seiten,
Beschreibung
The book refers to three different Prolog source files, you can them here.
Vorwort
This book is the second volume by the author on Prolog programming and its applications written for Ventus. Whereas in the first book [9], specific Prolog programming techniques were explained, in this volume we discuss some areas where Prolog can be fruitfully employed.
Both books owe their existence to the recognition that the higher educational system (in the UK) does not offer enough opportunities for students to experience the satisfaction associated with successfully completing a technical task. In the writer’s opinion, the learning experience of today’s average student is dominated too much by assessments.
The book comprises four chapters, the first three of them are devoted to Prolog in Artificial Intelligence (AI). The last one is on text processing using Prolog with LATEX in mind.
The first chapter solves an intriguing AI puzzle which was first published in the New Scientist magazine [1] in 2003. The Prolog solution presented here combines problem specific knowledge using Finite Mathematics with the well-know AI technique ‘generate-and-test’. Even though this chapter did not emanate from my teaching activities, the presentation follows a well-tested pattern: the problem is broken down into manageable and identifiable subproblems which then are more or less readily implemented in Prolog. Many interesting hurdles are identified and solved thereby. The availability of unification as a pattern matching tool makes Prolog uniquely suitable for solving such problems. This first chapter is an adaptation of work reported in [7]. Further recent developments on solving this problem can be found in [4].
The second and third chapters are respectively devoted to blind search and informed search. The material presented in them can be used in lectures to teach Prolog for AI as well as in AI lectures themselves. I have tried to compile a varied and interesting mixture of applications most of which won’t be available anywhere else. Some of the problems considered here served over the years in my lectures as coursework material, though, for various reasons, the discussion is more thorough here.
The fourth chapter is the least conventional one for a Prolog book. It is in two parts.
1. A tool is developed in Prolog for manipulating LATEX files.
2. Prolog is used to generate LATEX commands for drawing parametric curves in documents written in LATEX.
I also explain here how an SWI-Prolog program can be embedded into a Linux shell script, removing thereby the need for the user to deal with Prolog directly. This results in applications of direct practical interest.
For the maximum benefit (and fun) readers should work through parts of this book interactively with SWI-Prolog. I have tried to retain the experimental and exploratory style of the first volume [9] even though sometimes digression to more theoretical topics was unavoidable.
There are 54 exercises in this book, 32 of them are solved in Appendix A. The last chapter is somewhat of an exception since there the exercises themselves are the main vehicle for conveying the subject material. Therefore, detailed sample solutions are provided for 6 of the 7 exercises in that chapter.
The associated software (Prolog sorces, Linux shell scripts, data files) listed in Appendix B is freely available from the Ventus website. All three systems used here (Linux, SWI-Prolog, LATEX) are freely available on the Internet.
Inhalt : (gekürzt)
- 1. Enigma 1225: Rows are Columns
- 2. Blind Search
- 3. InformedSearch
- 4. Text Processing
- Solutions of Selected Exercises
- Chapter 1 Exercises
- Chapter 2 Exercises
- Chapter 3 Exercises
- Chapter 4 Exercises
- 5. Software
- 6. References
- 7. Index
- 8. Errata to Volume 1