Intelligent Agents

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The Design of Intelligent Agents

Author : Jörg P. Müller
Publisher : Springer Science & Business Media
Page : 256 pages
File Size : 55,8 Mb
Release : 1996-11-27
Category : Computers
ISBN : 3540620036

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The Design of Intelligent Agents by Jörg P. Müller Pdf

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.

Advances in the Evolutionary Synthesis of Intelligent Agents

Author : Mukesh Patel
Publisher : MIT Press
Page : 510 pages
File Size : 53,8 Mb
Release : 2001
Category : Computers
ISBN : 0262162016

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Advances in the Evolutionary Synthesis of Intelligent Agents by Mukesh Patel Pdf

This book explores a central issue in artificial intelligence, cognitive science, and artificial life: how to design information structures and processes that create and adapt intelligent agents through evolution and learning. Among the first uses of the computer was the development of programs to model perception, reasoning, learning, and evolution. Further developments resulted in computers and programs that exhibit aspects of intelligent behavior. The field of artificial intelligence is based on the premise that thought processes can be computationally modeled. Computational molecular biology brought a similar approach to the study of living systems. In both cases, hypotheses concerning the structure, function, and evolution of cognitive systems (natural as well as synthetic) take the form of computer programs that store, organize, manipulate, and use information. Systems whose information processing structures are fully programmed are difficult to design for all but the simplest applications. Real-world environments call for systems that are able to modify their behavior by changing their information processing structures. Cognitive and information structures and processes, embodied in living systems, display many effective designs for biological intelligent agents. They are also a source of ideas for designing artificial intelligent agents. This book explores a central issue in artificial intelligence, cognitive science, and artificial life: how to design information structures and processes that create and adapt intelligent agents through evolution and learning. The book is organized around four topics: the power of evolution to determine effective solutions to complex tasks, mechanisms to make evolutionary design scalable, the use of evolutionary search in conjunction with local learning algorithms, and the extension of evolutionary search in novel directions.

Developing Intelligent Agent Systems

Author : Lin Padgham,Michael Winikoff
Publisher : John Wiley & Sons
Page : 240 pages
File Size : 53,8 Mb
Release : 2005-06-24
Category : Technology & Engineering
ISBN : 9780470861219

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Developing Intelligent Agent Systems by Lin Padgham,Michael Winikoff Pdf

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.

Socially Intelligent Agents

Author : Kerstin Dautenhahn,Alan H. Bond,Lola Canamero,Bruce Edmonds
Publisher : Springer Science & Business Media
Page : 281 pages
File Size : 49,9 Mb
Release : 2006-04-11
Category : Computers
ISBN : 9780306473739

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Socially Intelligent Agents by Kerstin Dautenhahn,Alan H. Bond,Lola Canamero,Bruce Edmonds Pdf

Socially situated planning provides one mechanism for improving the social awareness ofagents. Obviously this work isin the preliminary stages and many of the limitation and the relationship to other work could not be addressed in such a short chapter. The chief limitation, of course, is the strong commitment to de?ning social reasoning solely atthe meta-level, which restricts the subtlety of social behavior. Nonetheless, our experience in some real-world military simulation applications suggest that the approach, even in its preliminary state, is adequate to model some social interactions, and certainly extends the sta- of-the art found in traditional training simulation systems. Acknowledgments This research was funded by the Army Research Institute under contract TAPC-ARI-BR References [1] J. Gratch. Emile: Marshalling passions in training and education. In Proceedings of the Fourth International Conference on Autonomous Agents, pages 325–332, New York, 2000. ACM Press. [2] J. Gratch and R. Hill. Continous planning and collaboration for command and control in joint synthetic battlespaces. In Proceedings of the 8th Conference on Computer Generated Forces and Behavioral Representation, Orlando, FL, 1999. [3] B. Grosz and S. Kraus. Collaborative plans for complex group action. Arti?cial Intelli gence, 86(2):269–357, 1996. [4] A. Ortony, G. L. Clore, and A. Collins. The Cognitive Structure of Emotions. Cambridge University Press, 1988. [5] R.W.PewandA.S.Mavor,editors. Modeling Human and Organizational Behavior. National Academy Press, Washington D.C., 1998.

Building Intelligent Agents

Author : Gheorghe Tecuci
Publisher : Morgan Kaufmann
Page : 356 pages
File Size : 49,6 Mb
Release : 1998-06-23
Category : Computers
ISBN : 0126851255

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Building Intelligent Agents by Gheorghe Tecuci Pdf

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

Author : Praveen Palanisamy
Publisher : Packt Publishing Ltd
Page : 246 pages
File Size : 42,9 Mb
Release : 2018-07-31
Category : Computers
ISBN : 9781788835138

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Hands-On Intelligent Agents with OpenAI Gym by Praveen Palanisamy Pdf

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 Agents II - Agent Theories, Architectures, and Languages

Author : Michael Wooldridge,Jörg Müller,Milind Tambe
Publisher : Springer Science & Business Media
Page : 464 pages
File Size : 43,6 Mb
Release : 1996-01-17
Category : Computers
ISBN : 3540608052

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Intelligent Agents II - Agent Theories, Architectures, and Languages by Michael Wooldridge,Jörg Müller,Milind Tambe Pdf

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 and Their Applications

Author : Zhengxin Chen,Nikhil Ichalkaranje
Publisher : Physica
Page : 354 pages
File Size : 42,7 Mb
Release : 2013-03-20
Category : Computers
ISBN : 9783790817867

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Intelligent Agents and Their Applications by Zhengxin Chen,Nikhil Ichalkaranje Pdf

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.

Agents and Ambient Intelligence

Author : Tibor Bosse
Publisher : IOS Press
Page : 340 pages
File Size : 43,7 Mb
Release : 2012
Category : Computers
ISBN : 9781614990499

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Agents and Ambient Intelligence by Tibor Bosse Pdf

The concept of an intelligent agent - a computational system capable of performing certain tasks autonomously - derived from the growing potential of digital computers in the mid 20th century and had been widely adopted by the early 1990s. Partly in parallel with this concept, the perspective of ambient intelligence (AmI) emerged in the late 1990s. Agent technology and AmI have many similarities, and the main purpose of this book is to provide an overview of the state-of-the-art of the scientific area that integrates these two. The book addresses a wide variety of topics related to agents and AmI, including theoretical, practical, design, implementation, ethical and philosophical issues. The 12 chapters are arranged in four sections. The first consists of three chapters discussing ethical and philosophical issues; the second part explores various approaches that can be used to develop agent-based AmI Systems; the third part contains three chapters that share the goal to endow AmI systems with useful properties like intelligence and adaptivity and the last section presents concrete applications of agent-based AmI systems. This book provides an insight into recent achievements and future challenges at the intersection of agent technology and ambient intelligence and will assist the development of more intelligent, flexible, effective and user-friendly systems as well as posing critical questions about the future of the role of agents within the AmI perspective.

Intelligent Agent Technology

Author : Ning Zhong
Publisher : World Scientific
Page : 532 pages
File Size : 55,7 Mb
Release : 2001
Category : Computers
ISBN : 9789810247065

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Intelligent Agent Technology by Ning Zhong Pdf

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 ? in terms of models, methodologies, and tools for developing a variety of embodiments of agent-based systems ? to its practical impact on tackling real-world problems.

Intelligent Software Agents

Author : Walter Brenner,Rüdiger Zarnekow,Hartmut Wittig
Publisher : Springer Science & Business Media
Page : 330 pages
File Size : 44,5 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9783642804847

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Intelligent Software Agents by Walter Brenner,Rüdiger Zarnekow,Hartmut Wittig Pdf

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.

Systems Development Methods for the Next Century

Author : W. Gregory Wojtkowski,Wita Wojtkowski,Stanislaw Wrycza,Armi Krajowej,Joze Zupancic
Publisher : Springer Science & Business Media
Page : 562 pages
File Size : 48,6 Mb
Release : 2012-12-06
Category : Business & Economics
ISBN : 9781461559153

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Systems Development Methods for the Next Century by W. Gregory Wojtkowski,Wita Wojtkowski,Stanislaw Wrycza,Armi Krajowej,Joze Zupancic Pdf

This book is a result of the ISD'97, Sixth International Conference on Information Systems Development-Methods and Tools, Theory and Practice held August 11-14, 1997 in Boise, Idaho, USA. The purpose of this Conference was to address the issues facing academia and industry when specifying, developing, managing and improving software systems. The selection of papers was carried out by the International Program Committee. All papers were reviewed in advance by at least three people. Papers were judged according to their originality, relevance and presentation quality. All papers were judged purely on their own merits, independently of other submissions. This year's Information Systems Development Conference-ISD'97 is the first ISD conference being held in the US. ISD was brought into existence almost ten years ago. It continues the fine tradition of the first Polish-Scandinavian Seminar on Current Trends in Information Systems Development Methodologies, held in Gdansk-Poland in 1988. ISD'98 will be held in Bled, Slovenia. ISD'97 consists not only of the technical program represented in these proceedings, but also tutorials on improved software testing and end-user information systems and workshop on sharing knowledge within international high technology industries that are intended for both, the research and business communities. We would like to thank the authors of papers accepted for ISD'97 who all made gal lant efforts to provide me with electronic copies of their manuscripts conforming to com mon guidelines. We thank them for thoughtfully responding to reviewers comments and carefully preparing their final contributions.

Artificial Intelligence

Author : David L. Poole,Alan K. Mackworth
Publisher : Cambridge University Press
Page : 821 pages
File Size : 53,5 Mb
Release : 2017-09-25
Category : Computers
ISBN : 9781107195394

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Artificial Intelligence by David L. Poole,Alan K. Mackworth Pdf

Artificial Intelligence presents a practical guide to AI, including agents, machine learning and problem-solving simple and complex domains.

Intelligent Information Agents

Author : Matthias Klusch,Sonia Bergamaschi,Pete Edwards,Paolo Petta
Publisher : Springer
Page : 278 pages
File Size : 44,6 Mb
Release : 2003-07-01
Category : Computers
ISBN : 9783540365617

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Intelligent Information Agents by Matthias Klusch,Sonia Bergamaschi,Pete Edwards,Paolo Petta Pdf

This book presents 10 chapters on various aspects of intelligent information agents contributed by members of the respective AgentLink special interest group. The papers are organized in three parts on agent-based information systems, adaptive information agents, and coordination of information agents. Also included are a comprehensive introduction and surveys for each of the three parts.

Reinforcement Learning

Author : Phil Winder Ph.D.
Publisher : "O'Reilly Media, Inc."
Page : 517 pages
File Size : 51,6 Mb
Release : 2020-11-06
Category : Computers
ISBN : 9781492072348

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Reinforcement Learning by Phil Winder Ph.D. Pdf

Reinforcement learning (RL) will deliver one of the biggest breakthroughs in AI over the next decade, enabling algorithms to learn from their environment to achieve arbitrary goals. This exciting development avoids constraints found in traditional machine learning (ML) algorithms. This practical book shows data science and AI professionals how to learn by reinforcement and enable a machine to learn by itself. Author Phil Winder of Winder Research covers everything from basic building blocks to state-of-the-art practices. You'll explore the current state of RL, focus on industrial applications, learn numerous algorithms, and benefit from dedicated chapters on deploying RL solutions to production. This is no cookbook; doesn't shy away from math and expects familiarity with ML. Learn what RL is and how the algorithms help solve problems Become grounded in RL fundamentals including Markov decision processes, dynamic programming, and temporal difference learning Dive deep into a range of value and policy gradient methods Apply advanced RL solutions such as meta learning, hierarchical learning, multi-agent, and imitation learning Understand cutting-edge deep RL algorithms including Rainbow, PPO, TD3, SAC, and more Get practical examples through the accompanying website