The study of multi-agent systems (MAS) focuses on systems in which many intelligent agents interact with each other. These agents are considered to be autonomous entities such as software programs or robots. Their interactions can either be cooperative (for example as in an ant colony) or selfish (as in a free market economy). This book assumes only basic knowledge of algorithms and discrete maths, both of which are taught as standard in the first or second year of computer science degree programmes. A basic knowledge of artificial intelligence would useful to help understand some of the issues, but is not essential. The book´s main aims are: * To introduce the student to the concept of agents and multi-agent systems, and the main applications for which they are appropriate * To introduce the main issues surrounding the design of intelligent agents * To introduce the main issues surrounding the design of a multi-agent society * To introduce a number of typical applications for agent technology After reading the book the student should understand: * The notion of an agent, how agents are distinct from other software paradigms (e.g. objects) and the characteristics of applications that lend themselves to agent-oriented software * The key issues associated with constructing agents capable of intelligent autonomous action and the main approaches taken to developing such agents * The key issues in designing societies of agents that can effectively cooperate in order to solve problems, including an understanding of the key types of multi-agent interactions possible in such systems * The main application areas of agent-based systems
This pocket guide is the one book to read for everyone who wants to learn about Scrum. The book covers all roles, rules and the main principles underpinning Scrum, and is based on the Scrum Guide Edition 2013. A broader context to this fundamental description of Scrum is given by describing the past and the future of Scrum. The author, Gunther Verheyen, has created a concise, yet complete and passionate reference about Scrum. The book demonstrates his core view that Scrum is about a journey, a journey of discovery and fun. He designed the book to be a helpful guide on that journey. Ken Schwaber, Scrum co-creator says that this book currently is the best available description of Scrum around. The book combines some rare characteristics: It describes Scrum in its entirety, yet places it in a broader context (of past and future). The author focuses on the subject, Scrum, in a way that it truly supports the reader. The book has a language and style in line with the philosophy of Scrum. The book shows the playfulness of Scrum. David Starr and Ralph Jocham, Professional Scrum trainers and early agile adopters, say that this is the ultimate book to be advised as follow-up book to the students they teach Scrum to and to teams and managers of organizations that they coach Scrum to.
Eleventh Hour CISSP: Study Guide, Third Edition provides readers with a study guide on the most current version of the Certified Information Systems Security Professional exam. This book is streamlined to include only core certification information, and is presented for ease of last-minute studying. Main objectives of the exam are covered concisely with key concepts highlighted. The CISSP certification is the most prestigious, globally-recognized, vendor neutral exam for information security professionals. Over 100,000 professionals are certified worldwide, with many more joining their ranks. This new third edition is aligned to cover all of the material in the most current version of the exam´s Common Body of Knowledge. All domains are covered as completely and concisely as possible, giving users the best possible chance of acing the exam. Completely updated for the most current version of the exam´s Common Body of Knowledge Provides the only guide you need for last-minute studying Answers the toughest questions and highlights core topics Streamlined for maximum efficiency of study, making it ideal for professionals updating their certification or for those taking the test for the first time
Debugging with GDB: The GNU Source-Level Debugger, Tenth Edition, for GDB version 126.96.36.19980116-git. This book is available for free at gnu.org. This book is printed in grayscale. The purpose of a debugger such as gdb is to allow you to see what is going on ´´inside´´ another program while it executes - or what another program was doing at the moment it crashed. gdb can do four main kinds of things (plus other things in support of these) to help you catch bugs in the act: - Start your program, specifying anything that might affect its behavior. - Make your program stop on specified conditions. - Examine what has happened, when your program has stopped. - Change things in your program, so you can experiment with correcting the effects of one bug and go on to learn about another.
This textbook presents a survey of research on boolean functions, circuits, parallel computation models, function algebras, and proof systems. Its main aim is to elucidate the structure of ´´fast´´ parallel computation. The complexity of parallel computation is emphasized through a variety of techniques ranging from finite combinatorics, probability theory and finite group theory to finite model theory and proof theory. Nonuniform computation models are studied in the form of boolean circuits; uniform ones in a variety of forms. Steps in the investigation of non-deterministic polynomial time are surveyed as is the complexity of various proof systems. The book will benefit advanced undergraduates and graduate students as well as researchers in the field of complexity theory.
Algorithmic design, especially for hard problems, is more essential for success in solving them than any standard improvement of current computer tech nologies. Because of this, the design of algorithms for solving hard problems is the core of current algorithmic research from the theoretical point of view as well as from the practical point of view. There are many general text books on algorithmics, and several specialized books devoted to particular approaches such as local search, randomization, approximation algorithms, or heuristics. But there is no textbook that focuses on the design of algorithms for hard computing tasks, and that systematically explains, combines, and compares the main possibilities for attacking hard algorithmic problems. As this topic is fundamental for computer science, this book tries to close this gap. Another motivation, and probably the main reason for writing this book, is connected to education. The considered area has developed very dynami cally in recent years and the research on this topic discovered several profound results, new concepts, and new methods. Some of the achieved contributions are so fundamental that one can speak about paradigms which should be in cluded in the education of every computer science student. Unfortunately, this is very far from reality. This is because these paradigms are not sufficiently known in the computer science community, and so they are insufficiently com municated to students and practitioners.
This book is a comprehensive and easy-to-understand guide for using the Oracle Data Provider (ODP) version 11g on the .NET Framework. It also outlines the core GoF (Gang of Four) design patterns and coding techniques employed to build and deploy high-impact mission-critical applications using advanced Oracle database features through the ODP.NET provider. The book details the features of the ODP.NET provider in two main sections: ´´Basic,´´ covering the basics and mechanisms for data access via ODP.NET; and ´´Advanced,´ covering advanced Oracle features such as globalization, savepoints, distributed transactions and how to call them via ODP.NET, advanced queueing (AQ), and promotable transactions. It takes you from the ground up through different implementation scenarios via a rich collection of C# code samples. It outlines database security and performance optimization tricks and techniques on ODP.NET that conform to best practices and adaptable design. Different GoF design patterns are highlighted for different types of ODP.NET usage scenarios with consideration of performance and security. It provides a comprehensive guide to the synergistic integration of Oracle and Microsoft technologies such as the Oracle Developer Tools for Visual Studio (188.8.131.52.10). It also details how programmers can make use of ODT to streamline the creation of robust ODP.NET applications from within the Visual Studio environment.
The main aim of this book is to teach D to readers who are new to computer programming. Although having experience in other programming languages is certainly helpful, this book starts from the basics. D is a multi-paradigm system programming language that combines a wide range of powerful programming concepts from the lowest to the highest levels. It has C-like syntax and static typing. It pragmatically combines efficiency, control, and modeling power, with safety and programmer productivity in mind. Each chapter is based on the contents of the previous ones, introducing as few new concepts as possible. It is recommended that the book is read in linear fashion, without skipping chapters if possible. Although this book was written with beginners in mind, it covers almost all features of D. More experienced programmers can use the book as a D language reference by starting from the index section. Blurbs from the back cover: ´´D is pristine, clean, immensely powerful, and arguably the actual state-of-the-art programming language. Ali´s book is a gem. Clear, concise, and complete.´´ - Olivier Henley ´´I have been using Ali´s online D book to teach D at the university level. It is up-to-date, complete, and most importantly, extremely readable. Having a print version is even better! This is now the ´go-to´ book for learning D programming.´´ - Chuck Allison, Professor and Chair, Computer Science Department, Utah Valley University ´´Ali´s explanations are succinct and on target. I like that he provides rationale for why D was designed in a particular way and how I can use it most effectively. This is the best computer language book I´ve read.´´ - Robbin Carlson, Luthier and Enterprise Architect ´´I taught a CS2 Data Structures class in D with more success and student appreciation than when using either C++ or Java as it´s an ideal language to express the relevant concepts at all scales, from detailed to big picture, without needless complexity. Ali Çehreli´s tutorial played a central role supporting students especially during the first half of the course - without it the course simply would not have worked, so ´´many thanks Ali´´ - and an important part of that is its linearity - it can be read with only backward dependencies. This meant that with hard work even students of little experience and only moderate current abilities could get up to speed, and we saw just that. It is hard to overstate this factor. I unreservedly recommend this book to all.´´ - Dr. Carl Sturtivant, University of Minnesota Department of Computer Science & Engineering ´´This book is one of the best guides through the language that I´ve seen.´´ - Andrew Wray, D Enthusiast ´´I encourage anyone considering D to read this book. Not exactly ´D for Dummies´ but it´s easy to follow even if you don´t have much experience with compiled languages.´´ - bachmeier, Reddit user ´´Having worked through the book, I have to say this is one of the easiest to follow and distraction free read there is and the fact that it made learning a new language a total breeze really impressed me.´´ - Imran Khan, Student
Bachelor Thesis from the year 2009 in the subject Computer Science - Commercial Information Technology, grade: 1,3, University of Frankfurt (Main) (Institute of Information Systems), language: English, abstract: The Information Systems (IS) research discipline is undergoing a serious identity crisis, seeking its sphere of activity to be relevant in practice and rigorous in scientific considerations. One reason for this is the strengthening of the Design Science approach. This new discipline developed as a synergy from aspects of engineering, architecture, and industrial design and is employed in the design of IT artifacts and software systems. Design Science is becoming a powerful trend in IS research (Vahidov 2006). It gives the IS discipline a new and more detailed focal point as pertains to the application of software and IT artifact development which is growing in importance in IS research over the time (Weber 2003; Orlikowski and Iacono 2001; Cross 2001). IS practitioners ask for new and innovative design approaches, dealing with the evolving organizational and inter-organizational tasks. The way these tasks are executed, in close cooperation with the practical business world, seems to be insufficiently considered. The debate in IS research is carried out between traditional scientists and the knowledge-producing researchers/practitioners and ´´it could be argued that research aimed at developing IT systems, at improving IT practice, has been more successful and important than traditional scientific attempts to understand it´´ (March and Smith 1995, p. 252). IS researchers are mainly focused on the behavioral impact of new IT solutions within a business unit. These concepts are needed to describe the relationship between the humans and the technology. However, this way of conducting research is descriptive and evaluative. Instead of telling ´´what is´´ or ´´what will be´´, Design Science is giving guidance as to ´´how to do´´ things (Walls et al. 1992). The importance of this new approach is given through the rapid development of business needs and the increased necessity to solve business problems through the implementation of IT solutions. The knowledge base for designing new solutions has not yet been fully developed. IT consultants borrow knowledge from reference disciplines and apply this knowledge to present problems. This way of providing solutions is not compatible with Design Science as an area of research. A relevant design approach needs to give new answers to phenomena thus far unsolved. However, the IS discipline has not yet established a solid groundwork for Design Science within its discipline.