Autonomous Agents And Multi Agent Systems

Download Autonomous Agents And Multi Agent Systems full books in PDF, epub, and Kindle. Read online Autonomous Agents And Multi Agent Systems ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Autonomous Agents and Multi-agent Systems

Author : Jiming Liu
Publisher : World Scientific
ISBN 13 : 9789812811844
Total Pages : 308 pages
Book Rating : 4.8/5 (118 download)

DOWNLOAD NOW!

Book Synopsis Autonomous Agents and Multi-agent Systems by : Jiming Liu

Download or read book Autonomous Agents and Multi-agent Systems written by Jiming Liu and published by World Scientific. This book was released on 2001 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: An autonomous agent is a computational system that acquires sensory data from its environment and decides by itself how to relate the external stimulus to its behaviors in order to attain certain goals. Responding to different stimuli received from its task environment, the agent may select and exhibit different behavioral patterns. The behavioral patterns may be carefully predefined or dynamically acquired by the agent based on some learning and adaptation mechanism(s). In order to achieve structural flexibility, reliability through redundancy, adaptability, and reconfigurability in real-world tasks, some researchers have started to address the issue of multiagent cooperation. Broadly speaking, the power of autonomous agents lies in their ability to deal with unpredictable, dynamically changing environments. Agent-based systems are becoming one of the most important computer technologies, holding out many promises for solving real-world problems. The aims of this book are to provide a guided tour to the pioneering work and the major technical issues in agent research, and to give an in-depth discussion on the computational mechanisms for behavioral engineering in autonomous agents. Through a systematic examination, the book attempts to provide the general design principles for building autonomous agents and the analytical tools for modeling the emerged behavioral properties of a multiagent system. Contents: Behavioral Modeling, Planning, and Learning; Synthetic Autonomy; Dynamics of Distributed Computation; Self-Organized Autonomy in Multi-Agent Systems; Autonomy-Oriented Computation; Dynamics and Complexity of Autonomy-Oriented Computation. Readership: Undergraduate and graduate students in computer science and most engineering disciplines, as well as computer scientists, engineers, researchers and practitioners in the field of machine intelligence.

Multiagent Systems, second edition

Author : Gerhard Weiss
Publisher : MIT Press
ISBN 13 : 0262533871
Total Pages : 917 pages
Book Rating : 4.2/5 (625 download)

DOWNLOAD NOW!

Book Synopsis Multiagent Systems, second edition by : Gerhard Weiss

Download or read book Multiagent Systems, second edition written by Gerhard Weiss and published by MIT Press. This book was released on 2016-10-28 with total page 917 pages. Available in PDF, EPUB and Kindle. Book excerpt: The new edition of an introduction to multiagent systems that captures the state of the art in both theory and practice, suitable as textbook or reference. Multiagent systems are made up of multiple interacting intelligent agents—computational entities to some degree autonomous and able to cooperate, compete, communicate, act flexibly, and exercise control over their behavior within the frame of their objectives. They are the enabling technology for a wide range of advanced applications relying on distributed and parallel processing of data, information, and knowledge relevant in domains ranging from industrial manufacturing to e-commerce to health care. This book offers a state-of-the-art introduction to multiagent systems, covering the field in both breadth and depth, and treating both theory and practice. It is suitable for classroom use or independent study. This second edition has been completely revised, capturing the tremendous developments in multiagent systems since the first edition appeared in 1999. Sixteen of the book's seventeen chapters were written for this edition; all chapters are by leaders in the field, with each author contributing to the broad base of knowledge and experience on which the book rests. The book covers basic concepts of computational agency from the perspective of both individual agents and agent organizations; communication among agents; coordination among agents; distributed cognition; development and engineering of multiagent systems; and background knowledge in logics and game theory. Each chapter includes references, many illustrations and examples, and exercises of varying degrees of difficulty. The chapters and the overall book are designed to be self-contained and understandable without additional material. Supplemental resources are available on the book's Web site. Contributors Rafael Bordini, Felix Brandt, Amit Chopra, Vincent Conitzer, Virginia Dignum, Jürgen Dix, Ed Durfee, Edith Elkind, Ulle Endriss, Alessandro Farinelli, Shaheen Fatima, Michael Fisher, Nicholas R. Jennings, Kevin Leyton-Brown, Evangelos Markakis, Lin Padgham, Julian Padget, Iyad Rahwan, Talal Rahwan, Alex Rogers, Jordi Sabater-Mir, Yoav Shoham, Munindar P. Singh, Kagan Tumer, Karl Tuyls, Wiebe van der Hoek, Laurent Vercouter, Meritxell Vinyals, Michael Winikoff, Michael Wooldridge, Shlomo Zilberstein

Multi-Agent Oriented Programming

Author : Olivier Boissier
Publisher : MIT Press
ISBN 13 : 0262360667
Total Pages : 261 pages
Book Rating : 4.2/5 (623 download)

DOWNLOAD NOW!

Book Synopsis Multi-Agent Oriented Programming by : Olivier Boissier

Download or read book Multi-Agent Oriented Programming written by Olivier Boissier and published by MIT Press. This book was released on 2020-09-15 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: The main concepts and techniques of multi-agent oriented programming, which supports the multi-agent systems paradigm at the programming level. A multi-agent system is an organized ensemble of autonomous, intelligent, goal-oriented entities called agents, communicating with each other and interacting within an environment. This book introduces the main concepts and techniques of multi-agent oriented programming, (MAOP) which supports the multi-agent systems paradigm at the programming level. MAOP provides a structured approach based on three integrated dimensions, which the book examines in detail: the agent dimension, used to design the individual (interacting) entities; the environment dimension, which allows the development of shared resources and connections to the real world; and the organization dimension, which structures the interactions among the autonomous agents and the shared environment.

An Introduction to MultiAgent Systems

Author : Michael Wooldridge
Publisher : John Wiley & Sons
ISBN 13 :
Total Pages : 386 pages
Book Rating : 4.F/5 ( download)

DOWNLOAD NOW!

Book Synopsis An Introduction to MultiAgent Systems by : Michael Wooldridge

Download or read book An Introduction to MultiAgent Systems written by Michael Wooldridge and published by John Wiley & Sons. This book was released on 2002-05-13 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book will introduce students to intelligent agents, explain what these agents are, how they are constructed and how they can be made to co-operate effectively with one another in large-scale systems.

An Introduction to MultiAgent Systems

Author : Michael Wooldridge
Publisher : John Wiley & Sons
ISBN 13 : 0470519460
Total Pages : 484 pages
Book Rating : 4.4/5 (75 download)

DOWNLOAD NOW!

Book Synopsis An Introduction to MultiAgent Systems by : Michael Wooldridge

Download or read book An Introduction to MultiAgent Systems written by Michael Wooldridge and published by John Wiley & Sons. This book was released on 2009-06-22 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Multi-Objective Decision Making

Author : Diederik M. Zhou
Publisher : Springer Nature
ISBN 13 : 3031015762
Total Pages : 111 pages
Book Rating : 4.0/5 (31 download)

DOWNLOAD NOW!

Book Synopsis Multi-Objective Decision Making by : Diederik M. Zhou

Download or read book Multi-Objective Decision Making written by Diederik M. Zhou and published by Springer Nature. This book was released on 2022-05-31 with total page 111 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many real-world decision problems have multiple objectives. For example, when choosing a medical treatment plan, we want to maximize the efficacy of the treatment, but also minimize the side effects. These objectives typically conflict, e.g., we can often increase the efficacy of the treatment, but at the cost of more severe side effects. In this book, we outline how to deal with multiple objectives in decision-theoretic planning and reinforcement learning algorithms. To illustrate this, we employ the popular problem classes of multi-objective Markov decision processes (MOMDPs) and multi-objective coordination graphs (MO-CoGs). First, we discuss different use cases for multi-objective decision making, and why they often necessitate explicitly multi-objective algorithms. We advocate a utility-based approach to multi-objective decision making, i.e., that what constitutes an optimal solution to a multi-objective decision problem should be derived from the available information about user utility. We show how different assumptions about user utility and what types of policies are allowed lead to different solution concepts, which we outline in a taxonomy of multi-objective decision problems. Second, we show how to create new methods for multi-objective decision making using existing single-objective methods as a basis. Focusing on planning, we describe two ways to creating multi-objective algorithms: in the inner loop approach, the inner workings of a single-objective method are adapted to work with multi-objective solution concepts; in the outer loop approach, a wrapper is created around a single-objective method that solves the multi-objective problem as a series of single-objective problems. After discussing the creation of such methods for the planning setting, we discuss how these approaches apply to the learning setting. Next, we discuss three promising application domains for multi-objective decision making algorithms: energy, health, and infrastructure and transportation. Finally, we conclude by outlining important open problems and promising future directions.

Explainable, Transparent Autonomous Agents and Multi-Agent Systems

Author : Davide Calvaresi
Publisher : Springer Nature
ISBN 13 : 3030303918
Total Pages : 221 pages
Book Rating : 4.0/5 (33 download)

DOWNLOAD NOW!

Book Synopsis Explainable, Transparent Autonomous Agents and Multi-Agent Systems by : Davide Calvaresi

Download or read book Explainable, Transparent Autonomous Agents and Multi-Agent Systems written by Davide Calvaresi and published by Springer Nature. This book was released on 2019-09-10 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the First International Workshop on Explainable, Transparent Autonomous Agents and Multi-Agent Systems, EXTRAAMAS 2019, held in Montreal, Canada, in May 2019. The 12 revised and extended papers presented were carefully selected from 23 submissions. They are organized in topical sections on explanation and transparency; explainable robots; opening the black box; explainable agent simulations; planning and argumentation; explainable AI and cognitive science.

On the Control of Multi-Agent Systems

Author : Fei Chen
Publisher :
ISBN 13 : 9781680835823
Total Pages : 176 pages
Book Rating : 4.8/5 (358 download)

DOWNLOAD NOW!

Book Synopsis On the Control of Multi-Agent Systems by : Fei Chen

Download or read book On the Control of Multi-Agent Systems written by Fei Chen and published by . This book was released on 2019-07-31 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multi-Agent Systems (MAS) use networked multiple autonomous agents to accomplish complex tasks in areas such as space-based applications, smart grids, and machine learning. The overall system goal is achieved using local interactions among the agents. The last two decades have witnessed rapid development of MASs in automatic control. Tracing the roots of such systems back more than 50 years, this monograph provides the reader with an in-depth and comprehensive survey of the research in Multi-Agent Systems. The focus is on the research conducted in the two decades. It introduces the basic concepts and definitions to the reader before going on to describe how MAS has been used in most forms of systems. The monograph offers a concise reference for understanding the use of MASs and the contemporary research issues for further investigation. In addition to covering the basic theory, the authors also cover applications in multi-robot systems, sensor networks, smart grid, machine learning, social networks, and many-core microprocessors. On the Control of Multi-Agent Systems provides researchers and students in systems and control a modern, comprehensive survey of one of the most important current day topics.

Proceedings of the 2013 International Conference on Autonomous Agents and Multi-agent Systems

Author : Maria Gini
Publisher :
ISBN 13 : 9781450319935
Total Pages : 1466 pages
Book Rating : 4.3/5 (199 download)

DOWNLOAD NOW!

Book Synopsis Proceedings of the 2013 International Conference on Autonomous Agents and Multi-agent Systems by : Maria Gini

Download or read book Proceedings of the 2013 International Conference on Autonomous Agents and Multi-agent Systems written by Maria Gini and published by . This book was released on 2013 with total page 1466 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Autonomous Agents and Multiagent Systems

Author : Gita Sukthankar
Publisher : Springer
ISBN 13 : 3319716794
Total Pages : 245 pages
Book Rating : 4.3/5 (197 download)

DOWNLOAD NOW!

Book Synopsis Autonomous Agents and Multiagent Systems by : Gita Sukthankar

Download or read book Autonomous Agents and Multiagent Systems written by Gita Sukthankar and published by Springer. This book was released on 2017-11-24 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book compiles the most visionary papers from 10 workshops held at the International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2017, held in Sao Paulo, Brazil, in May 2017. The 15 full papers presented in this volume were carefully reviewed and selected for inclusion in this volume. They deal with novel ideas proposing a change in the way research is currently carried out.

Multi-Agent Systems and Agreement Technologies

Author : Nick Bassiliades
Publisher : Springer Nature
ISBN 13 : 3030664120
Total Pages : 612 pages
Book Rating : 4.0/5 (36 download)

DOWNLOAD NOW!

Book Synopsis Multi-Agent Systems and Agreement Technologies by : Nick Bassiliades

Download or read book Multi-Agent Systems and Agreement Technologies written by Nick Bassiliades and published by Springer Nature. This book was released on 2021-01-04 with total page 612 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the revised post-conference proceedings of the 17th European Conference on Multi-Agent Systems, EUMAS 2020, and the 7th International Conference on Agreement Technologies, AT 2020, which were originally planned to be held as a joint event in Thessaloniki, Greece, in April 2020. Due to COVID-19 pandemic the conference was postponed to September 2020 and finally became a fully virtual conference. The 38 full papers presented in this volume were carefully reviewed and selected from a total of 53 submissions. The papers report on both early and mature research and cover a wide range of topics in the field of autonomous agents and multi-agent systems.

Explainable, Transparent Autonomous Agents and Multi-Agent Systems

Author : Davide Calvaresi
Publisher : Springer Nature
ISBN 13 : 3030519244
Total Pages : 161 pages
Book Rating : 4.0/5 (35 download)

DOWNLOAD NOW!

Book Synopsis Explainable, Transparent Autonomous Agents and Multi-Agent Systems by : Davide Calvaresi

Download or read book Explainable, Transparent Autonomous Agents and Multi-Agent Systems written by Davide Calvaresi and published by Springer Nature. This book was released on 2020-07-07 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the Second International Workshop on Explainable, Transparent Autonomous Agents and Multi-Agent Systems, EXTRAAMAS 2020, which was due to be held in Auckland, New Zealand, in May 2020. The conference was held virtually due to the COVID-19 pandemic. The 8 revised and extended papers were carefully selected from 20 submissions and are presented here with one demo paper. The papers are organized in the following topical sections: explainable agents; cross disciplinary XAI; explainable machine learning; demos.

Layered Learning in Multiagent Systems

Author : Peter Stone
Publisher : MIT Press
ISBN 13 : 9780262264600
Total Pages : 300 pages
Book Rating : 4.2/5 (646 download)

DOWNLOAD NOW!

Book Synopsis Layered Learning in Multiagent Systems by : Peter Stone

Download or read book Layered Learning in Multiagent Systems written by Peter Stone and published by MIT Press. This book was released on 2000-03-03 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book looks at multiagent systems that consist of teams of autonomous agents acting in real-time, noisy, collaborative, and adversarial environments. This book looks at multiagent systems that consist of teams of autonomous agents acting in real-time, noisy, collaborative, and adversarial environments. The book makes four main contributions to the fields of machine learning and multiagent systems. First, it describes an architecture within which a flexible team structure allows member agents to decompose a task into flexible roles and to switch roles while acting. Second, it presents layered learning, a general-purpose machine-learning method for complex domains in which learning a mapping directly from agents' sensors to their actuators is intractable with existing machine-learning methods. Third, the book introduces a new multiagent reinforcement learning algorithm—team-partitioned, opaque-transition reinforcement learning (TPOT-RL)—designed for domains in which agents cannot necessarily observe the state-changes caused by other agents' actions. The final contribution is a fully functioning multiagent system that incorporates learning in a real-time, noisy domain with teammates and adversaries—a computer-simulated robotic soccer team. Peter Stone's work is the basis for the CMUnited Robotic Soccer Team, which has dominated recent RoboCup competitions. RoboCup not only helps roboticists to prove their theories in a realistic situation, but has drawn considerable public and professional attention to the field of intelligent robotics. The CMUnited team won the 1999 Stockholm simulator competition, outscoring its opponents by the rather impressive cumulative score of 110-0.

Infrastructure for Agents, Multi-Agent Systems, and Scalable Multi-Agent Systems

Author : Tom Wagner
Publisher : Springer
ISBN 13 : 3540477721
Total Pages : 314 pages
Book Rating : 4.5/5 (44 download)

DOWNLOAD NOW!

Book Synopsis Infrastructure for Agents, Multi-Agent Systems, and Scalable Multi-Agent Systems by : Tom Wagner

Download or read book Infrastructure for Agents, Multi-Agent Systems, and Scalable Multi-Agent Systems written by Tom Wagner and published by Springer. This book was released on 2003-08-06 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: Building research grade multi-agent systems usually involves a broad variety of software infrastructure ingredients like planning, scheduling, coordination, communication, transport, simulation, and module integration technologies and as such constitutes a great challenge to the individual researcher active in the area. The book presents a collection of papers on approaches that will help make deployed and large scale multi-agent systems a reality. The first part focuses on available infrastructure and requirements for constructing research-grade agents and multi-agent systems. The second part deals with support in infrastructure and software development methods for multi-agent systems that can directly support coordination and management of large multi-agent communities; performance analysis and scalability techniques are needed to promote deployment of multi-agent systems to professionals in software engineering and information technology.

Autonomous Agents and Multiagent Systems

Author : Nardine Osman
Publisher : Springer
ISBN 13 : 3319468820
Total Pages : 193 pages
Book Rating : 4.3/5 (194 download)

DOWNLOAD NOW!

Book Synopsis Autonomous Agents and Multiagent Systems by : Nardine Osman

Download or read book Autonomous Agents and Multiagent Systems written by Nardine Osman and published by Springer. This book was released on 2016-09-23 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features a selection of best papers from 11 workshops held at the International Conference on Autonomous Agents and Multiagent Systems, in Singapore in May 2016.The 11 full papers were carefully reviewed and selected for inclusion in this volume. They cover specific topics, both theoretical and applied, in the general area of autonomous agents and multiagent systems.

Autonomous Agents and Multiagent Systems. Best and Visionary Papers

Author : Francisco S. Melo
Publisher : Springer Nature
ISBN 13 : 3031201795
Total Pages : 151 pages
Book Rating : 4.0/5 (312 download)

DOWNLOAD NOW!

Book Synopsis Autonomous Agents and Multiagent Systems. Best and Visionary Papers by : Francisco S. Melo

Download or read book Autonomous Agents and Multiagent Systems. Best and Visionary Papers written by Francisco S. Melo and published by Springer Nature. This book was released on 2022-11-05 with total page 151 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes thoroughly refereed and revised selected best and visionary papers from the Workshops held at the International Conference on Autonomous Agents and Multiagent Systems AAMAS 2022, which took place online, during May 9–13, 2022. The 5 best papers and 4 visionary papers included in this book stem from the following workshops: - 13th Workshop on Optimization and Learning in Multi-agent Systems (OptLearnMAS);- 23rd Workshop on Multi-Agent Based Simulation (MABS);- 6th Workshop on Agent-Based Modelling of Urban Systems (ABMUS);- 10th Workshop on Engineering Multi-Agent Systems (EMAS);- 1st Workshop on Rebellion and Disobedience in AI (RaD-AI). There was a total of 59 submissions to these workshops.

Handbook of Research on Multi-Agent Systems: Semantics and Dynamics of Organizational Models

Author : Dignum, Virginia
Publisher : IGI Global
ISBN 13 : 1605662577
Total Pages : 630 pages
Book Rating : 4.6/5 (56 download)

DOWNLOAD NOW!

Book Synopsis Handbook of Research on Multi-Agent Systems: Semantics and Dynamics of Organizational Models by : Dignum, Virginia

Download or read book Handbook of Research on Multi-Agent Systems: Semantics and Dynamics of Organizational Models written by Dignum, Virginia and published by IGI Global. This book was released on 2009-03-31 with total page 630 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book provide a comprehensive view of current developments in agent organizations as a paradigm for both the modeling of human organizations, and for designing effective artificial organizations"--Provided by publisher.