Developing Intelligent Agent Systems
Developing Intelligent Agent Systems

Author: Lin Padgham

Publisher: John Wiley & Sons

Published: 2005-06-24

Total Pages: 240

ISBN-13: 0470861215

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Build your own intelligent agent system... Intelligent agent technology is a tool of modern computer science that can be used to engineer complex computer programmes that behave rationally in dynamic and changing environments. Applications range from small programmes that intelligently search the Web buying and selling goods via electronic commerce, to autonomous space probes. This powerful technology is not widely used, however, as developing intelligent agent software requires high levels of training and skill. The authors of this book have developed and tested a methodology and tools for developing intelligent agent systems. With this methodology (Prometheus) developers can start agent-oriented designs and implementations easily from scratch saving valuable time and resources. Developing Intelligent Agent Systems not only answers the questions “what are agents?” and “why are they useful?” but also the crucial question: “how do I design and build intelligent agent systems?” The book covers everything a practitioner needs to know to begin to effectively use this technology - including an introduction to the notion of agents, a description of the concepts involved, and a software engineering methodology. Read on for: a practical step-by-step introduction to designing and building intelligent agent systems. a full life-cycle methodology for developing intelligent agent systems covering specification, analysis, design and implementation of agents. PDT: Prometheus Design Tool – software support for the Prometheus design process. the example of an electronic bookstore to illustrate the design process throughout the book. Electronic resources including the Prometheus Design Tool (PDT), can be found at: http://www.cs.rmit.edu.au/agents/prometheus This book is aimed at industrial software developers, software engineers and at advanced undergraduate students. It assumes knowledge of basic software engineering but does not require knowledge of Artificial Intelligence or of mathematics. Familiarity with Java will help in reading the examples in chapter 10.

The Design of Intelligent Agents
The Design of Intelligent Agents

Author: Jörg P. Müller

Publisher: Springer Science & Business Media

Published: 1996-11-27

Total Pages: 256

ISBN-13: 9783540620037

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This monograph presents a comprehensive state-of-the-art survey on approaches to the design of intelligent agents. On the theoretical side, the author identifies a set of general requirements for autonomous interacting agents and provides an essential step towards understanding the principles of intelligent agents. On the practical side, the novel agent architecture InteRRaP is introduced: the detailed description and evaluation of this architecture is an ideal guideline and case study for software engineers or researchers faced with the task of building an agent system. The book uniquely bridges the gap between theory and practice; it addresses active and novice researchers as well as practitioners interested in applicable agent technology.

Agent Technology
Agent Technology

Author: Nicholas R. Jennings

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 338

ISBN-13: 3662036789

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The first book to provide an integrative presentation of the issues, challenges and success of designing, building and using agent applications. The chapters presented are written by internationally leading authorities in the field, with a general audience in mind. The result is a unique overview of agent technology applications, ranging from an introduction to the technical foundations to reports on dealing with specific agent systems in practice.

Building Intelligent Agents
Building Intelligent Agents

Author: Gheorghe Tecuci

Publisher: Morgan Kaufmann

Published: 1998-06-23

Total Pages: 356

ISBN-13: 9780126851250

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Building Intelligent Agents is unique in its comprehensive coverage of the subject. The first part of the book presents an original theory for building intelligent agents and a methodology and tool that implement the theory. The second part of the book presents complex and detailed case studies of building different types of agents: an educational assessment agent, a statistical analysis assessment and support agent, an engineering design assistant, and a virtual military commander. Also featured in this book is Disciple, a toolkit for building interactive agents which function in much the same way as a human apprentice. Disciple-based agents can reason both with incomplete information, but also with information that is potentially incorrect. This approach, in which the agent learns its behavior from its teacher, integrates many machine learning and knowledge acquisition techniques, taking advantage of their complementary strengths to compensate for each others weakness. As a consequence, it significantly reduces (or even eliminates) the involvement of a knowledge engineer in the process of building an intelligent agent.

Intelligent Agent Software Engineering
Intelligent Agent Software Engineering

Author:

Publisher: IGI Global

Published: 2003-01-01

Total Pages: 256

ISBN-13: 1591400465

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From theoretical and practical viewpoints, the application of intelligent software agents is a topic of major interest. There has been a growing interest not only in new methodologies for development of intelligent software agents, but also the way in which these methodologies can be supported by theories and practice. Intelligent Agent Software Engineering focuses on addressing the theories and practices associated with implementing intelligent software agents.

Engineering Intelligent Hybrid Multi-Agent Systems
Engineering Intelligent Hybrid Multi-Agent Systems

Author: Rajiv Khosla

Publisher: Springer Science & Business Media

Published: 1997-09-30

Total Pages: 438

ISBN-13: 9780792399827

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Engineering Intelligent Hybrid Multi-Agent Systems is about building intelligent hybrid systems. Included is coverage of applications and design concepts related to fusion systems, transformation systems and combination systems. These applications are in areas involving hybrid configurations of knowledge-based systems, case-based reasoning, fuzzy systems, artificial neural networks, genetic algorithms, and in knowledge discovery and data mining. Through examples and applications a synergy of these subjects is demonstrated. The authors introduce a multi-agent architectural theory for engineering intelligent associative hybrid systems. The architectural theory is described at both the task structure level and the computational level. This problem-solving architecture is relevant for developing knowledge agents and information agents. An enterprise-wide system modeling framework is outlined to facilitate forward and backward integration of systems developed in the knowledge, information, and data engineering layers of an organization. In the modeling process, software engineering aspects like agent oriented analysis, design and reuse are developed and described. Engineering Intelligent Hybrid Multi-Agent Systems is the first book in the field to provide details of a multi-agent architecture for building intelligent hybrid systems.

Developing Intelligent Agents for Distributed Systems
Developing Intelligent Agents for Distributed Systems

Author: Michael Knapik

Publisher: McGraw-Hill Companies

Published: 1998

Total Pages: 424

ISBN-13:

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Now professional software developers working in highly complex distributed environments can learn how to create agents for client/server environments. This book clearly explains the programming of agents for improving user interfaces, for improving performance and usability of LANS and WANS, for managing mail, and even for assisting in the development of other software.

An Introduction to MultiAgent Systems
An Introduction to MultiAgent Systems

Author: Michael Wooldridge

Publisher: John Wiley & Sons

Published: 2009-06-22

Total Pages: 484

ISBN-13: 0470519460

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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

Designing Distributed Learning Environments with Intelligent Software Agents
Designing Distributed Learning Environments with Intelligent Software Agents

Author: Fuhua Oscar Lin

Publisher: IGI Global

Published: 2005-01-01

Total Pages: 342

ISBN-13: 9781591405009

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Designing Distributed Learning Environments with Intelligent Software Agents reports on the most recent advances in agent technologies for distributed learning. Chapters are devoted to the various aspects of intelligent software agents in distributed learning, including the methodological and technical issues on where and how intelligent agents can contribute to meeting distributed learning needs today and tomorrow. This book benefits the AI (artificial intelligence) and educational communities in their research and development, offering new and interesting research issues surrounding the development of distributed learning environments in the Semantic Web age. In addition, the ideas presented in the book are applicable to other domains such as Agent-Supported Web Services, distributed business process and resource integration, computer-supported collaborative work (CSCW) and e-Commerce.

Intelligent Agent Technology
Intelligent Agent Technology

Author: Ning Zhong

Publisher: World Scientific

Published: 2001

Total Pages: 540

ISBN-13: 9789812811042

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This volume is an attempt to capture the essence of the state-of-the-art of intelligent agent technology and to identify the new challenges and opportunities that it is or will be facing. The most important feature of the volume is that it emphasizes a multi-faceted, holistic view of this emerging technology, from its computational foundations OCo in terms of models, methodologies, and tools for developing a variety of embodiments of agent-based systems OCo to its practical impact on tackling real-world problems. Contents: Formal Agent Theories; Computational Architecture and Infrastructure; Learning and Adaptation; Knowledge Discovery and Data Mining Agents; Distributed Intelligence; Agent Based Applications. Readership: Graduate students in computer science and engineering, academics/lecturers, researchers, software/systems engineers, IT engineers and industrialists."