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.

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.

Hands-On Intelligent Agents with OpenAI Gym
Hands-On Intelligent Agents with OpenAI Gym

Author: Praveen Palanisamy

Publisher: Packt Publishing Ltd

Published: 2018-07-31

Total Pages: 246

ISBN-13: 1788835131

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Implement intelligent agents using PyTorch to solve classic AI problems, play console games like Atari, and perform tasks such as autonomous driving using the CARLA driving simulator Key Features Explore the OpenAI Gym toolkit and interface to use over 700 learning tasks Implement agents to solve simple to complex AI problems Study learning environments and discover how to create your own Book Description Many real-world problems can be broken down into tasks that require a series of decisions to be made or actions to be taken. The ability to solve such tasks without a machine being programmed requires a machine to be artificially intelligent and capable of learning to adapt. This book is an easy-to-follow guide to implementing learning algorithms for machine software agents in order to solve discrete or continuous sequential decision making and control tasks. Hands-On Intelligent Agents with OpenAI Gym takes you through the process of building intelligent agent algorithms using deep reinforcement learning starting from the implementation of the building blocks for configuring, training, logging, visualizing, testing, and monitoring the agent. You will walk through the process of building intelligent agents from scratch to perform a variety of tasks. In the closing chapters, the book provides an overview of the latest learning environments and learning algorithms, along with pointers to more resources that will help you take your deep reinforcement learning skills to the next level. What you will learn Explore intelligent agents and learning environments Understand the basics of RL and deep RL Get started with OpenAI Gym and PyTorch for deep reinforcement learning Discover deep Q learning agents to solve discrete optimal control tasks Create custom learning environments for real-world problems Apply a deep actor-critic agent to drive a car autonomously in CARLA Use the latest learning environments and algorithms to upgrade your intelligent agent development skills Who this book is for If you’re a student, game/machine learning developer, or AI enthusiast looking to get started with building intelligent agents and algorithms to solve a variety of problems with the OpenAI Gym interface, this book is for you. You will also find this book useful if you want to learn how to build deep reinforcement learning-based agents to solve problems in your domain of interest. Though the book covers all the basic concepts that you need to know, some working knowledge of Python programming language will help you get the most out of it.

Intelligent Software Agents
Intelligent Software Agents

Author: Walter Brenner

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 330

ISBN-13: 3642804845

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2 chapter contains examples of intelligent agents, arranged according to their appli cation areas. Chapter 7 closes with a prospective view of the future development of intelligent agents. Everyone concerned with the Internet and the new possibilities of information and communication technology knows that nowadays there is no area that is devel oping faster. The authors are aware of the dynamics of this research area and its effects when they describe such a fast developing area in a slow, traditional me dium like a book. One thing is sure today: when the book appears on the market, new intelligent agents will already exist and some of the hypotheses made by this book will have been shown to be incorrect. Why, despite this, does it make sense to write a classical book on this subject? Is there an alternative? Experience shows that the majority of the people in business and public life who make decisions on the use of new technologies continue to prefer books and articles in periodicals rather than electronic sources such as the Internet. Or is there some other reason for the enormous success of Nicolas Negroponte's book Being Digital, which we thank for multimedia and many concepts of the digital and networked world, and even intelligent agents? Today, a book is still the only way to establish a new area.

Intelligent Agents II - Agent Theories, Architectures, and Languages
Intelligent Agents II - Agent Theories, Architectures, and Languages

Author: Michael Wooldridge

Publisher: Springer Science & Business Media

Published: 1996-01-17

Total Pages: 464

ISBN-13: 9783540608059

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This book is based on the second International Workshop on Agent Theories, Architectures, and Languages, held in conjunction with the International Joint Conference on Artificial Intelligence, IJCAI'95 in Montreal, Canada in August 1995. The 26 papers are revised final versions of the workshop presentations selected from a total of 54 submissions; also included is a comprehensive introduction, a detailed bibliography listing 355 relevant publications, and a subject index. The book is structured into seven sections, reflecting the most current major directions in agent-related research. Together with its predecessor, Intelligent Agents, published as volume 890 in the LNAI series, this book provides a timely and comprehensive state-of-the-art report.

Intelligent Agents V: Agents Theories, Architectures, and Languages
Intelligent Agents V: Agents Theories, Architectures, and Languages

Author: Jörg Müller

Publisher: Springer

Published: 2007-04-29

Total Pages: 463

ISBN-13: 3540490574

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The leading edge of computer science research is notoriously ?ckle. New trends come and go with alarming and unfailing regularity. In such a rapidly changing ?eld, the fact that research interest in a subject lasts more than a year is worthy of note. The fact that, after ?ve years, interest not only remains, but actually continues to grow is highly unusual. As 1998 marked the ?fth birthday of the International Workshop on Agent Theories, Architectures, and Languages (ATAL), it seemed appropriate for the organizers of the original workshop to comment on this remarkable growth, and re ect on how the ?eld has developed and matured. The ?rst ATAL workshop was co-located with the Eleventh European Conference on Arti?cial Intelligence (ECAI-94), which was held in Amsterdam. The fact that we chose an AI conference to co-locate with is telling: at that time, we expected most researchers with an interest in agents to come from the AI community. The workshop, whichwasplannedoverthesummerof1993,attracted32submissions,andwasattended by 55 people.ATAL was the largest workshop at ECAI-94, and the clear enthusiasm on behalfofthecommunitymadethedecisiontoholdanotherATALworkshopsimple.The ATAL-94proceedingswereformallypublishedinJanuary1995underthetitleIntelligent Agents, and included an extensive review article, a glossary, a list of key agent systems, and — unusually for the proceedings of an academic workshop — a full subject index. Thehighscienti?candproductionvaluesembodiedbytheATAL-94proceedingsappear to have been recognized by the community, and resulted inATAL proceedings being the most successful sequence of books published in Springer-Verlag s Lecture Notes in Arti?cial Intelligence series.

Intelligent Agents and Their Applications
Intelligent Agents and Their Applications

Author: L. C. Jain

Publisher: Springer Science & Business Media

Published: 2002-03-25

Total Pages: 374

ISBN-13: 9783790814699

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Intelligent agents are one of the most promising business tools in our information rich world. An intelligent agent consists of a software system capable of performing intelligent tasks within a dynamic and unpredictable environment. They can be characterised by various attributes including: autonomous, adaptive, collaborative, communicative, mobile, and reactive. Many problems are not well defined and the information needed to make decisions is not available. These problems are not easy to solve using conventional computing approaches. Here, the intelligent agent paradigm may play a major role in helping to solve these problems. This book, written for application researchers, covers a broad selection of research results that demonstrate, in an authoritative and clear manner, the applications of agents within our information society.

Knowledge Representation, Reasoning, and the Design of Intelligent Agents
Knowledge Representation, Reasoning, and the Design of Intelligent Agents

Author: Michael Gelfond

Publisher: Cambridge University Press

Published: 2014-03-10

Total Pages: 363

ISBN-13: 1107782872

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Knowledge representation and reasoning is the foundation of artificial intelligence, declarative programming, and the design of knowledge-intensive software systems capable of performing intelligent tasks. Using logical and probabilistic formalisms based on answer set programming (ASP) and action languages, this book shows how knowledge-intensive systems can be given knowledge about the world and how it can be used to solve non-trivial computational problems. The authors maintain a balance between mathematical analysis and practical design of intelligent agents. All the concepts, such as answering queries, planning, diagnostics, and probabilistic reasoning, are illustrated by programs of ASP. The text can be used for AI-related undergraduate and graduate classes and by researchers who would like to learn more about ASP and knowledge representation.

Intelligent Agents VIII
Intelligent Agents VIII

Author: John-Jules C. Meyer

Publisher: Springer Science & Business Media

Published: 2002-06-19

Total Pages: 474

ISBN-13: 3540438580

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This volume is the eighth in the Intelligent Agents series associated with the ATAL workshops. These workshops on “Agent Theories, Architectures, and L- guages” have established themselves as a tradition, and play the role of small but internationally well-known conferences on the subject, where besides theory per se also integration of theory and practice is in focus. Speci?cally, ATAL - dresses issues of theories of agency, software architectures for intelligent agents, methodologies and programming languages for realizing agents, and software tools for applying and evaluating agent-based systems. ATAL 2001 featured two special tracks in which both the more theoretical / formal and the more practical aspects were present, viz. “Formal Theories of Negotiation”, organized by Frank Dignum, and “Agents for Hand-Held, Mobile, or Embedded Devices”, organized by Tim Finin. There was also an extra session on RoboCup Rescue, organized and presented by Satoshi Tadokoro and Ranjit Nair. ATAL 2001 attracted 68 papers from over 20 countries all over the world, of which 30 were selected for presentation at the workshop and publication in this volume. We invited two outstanding speakers: Fausto Giunchiglia (Trento, Italy) and Tom Dean (Brown, USA).