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Adaptive Agents And Multi Agent Systems
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Book Synopsis Adaptive Agents and Multi-Agent Systems II by : Daniel Kudenko
Download or read book Adaptive Agents and Multi-Agent Systems II written by Daniel Kudenko and published by Springer Science & Business Media. This book was released on 2005-03-04 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: Adaptive agents and multi-agent systems is an emerging and exciting interdisciplinary area of research and development involving artificial intelligence, software engineering, and developmental biology, as well as cognitive and social science. This book presents 17 revised and carefully reviewed papers taken from two workshops on the topic as well as 2 invited papers by leading researchers in the area. The papers deal with various aspects of machine learning, adaptation, and evolution in the context of agent systems and autonomous agents.
Book Synopsis Adaptive Agents and Multi-Agent Systems by : Eduardo Alonso
Download or read book Adaptive Agents and Multi-Agent Systems written by Eduardo Alonso and published by Springer Science & Business Media. This book was released on 2003-04-23 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: Adaptive Agents and Multi-Agent Systems is an emerging and exciting interdisciplinary area of research and development involving artificial intelligence, computer science, software engineering, and developmental biology, as well as cognitive and social science. This book surveys the state of the art in this emerging field by drawing together thoroughly selected reviewed papers from two related workshops; as well as papers by leading researchers specifically solicited for this book. The articles are organized into topical sections on - learning, cooperation, and communication - emergence and evolution in multi-agent systems - theoretical foundations of adaptive agents
Book Synopsis Adaptive Agents and Multi-Agent Systems by : Eduardo Alonso
Download or read book Adaptive Agents and Multi-Agent Systems written by Eduardo Alonso and published by Springer. This book was released on 2003-08-03 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: Adaptive Agents and Multi-Agent Systems is an emerging and exciting interdisciplinary area of research and development involving artificial intelligence, computer science, software engineering, and developmental biology, as well as cognitive and social science. This book surveys the state of the art in this emerging field by drawing together thoroughly selected reviewed papers from two related workshops; as well as papers by leading researchers specifically solicited for this book. The articles are organized into topical sections on - learning, cooperation, and communication - emergence and evolution in multi-agent systems - theoretical foundations of adaptive agents
Book Synopsis Adaptive Agents and Multi-Agent Systems III. Adaptation and Multi-Agent Learning by : Karl Tuyls
Download or read book Adaptive Agents and Multi-Agent Systems III. Adaptation and Multi-Agent Learning written by Karl Tuyls and published by Springer. This book was released on 2008-02-09 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains selected and revised papers of the European Symposium on Adaptive and Learning Agents and Multi-Agent Systems (ALAMAS), editions 2005, 2006 and 2007, held in Paris, Brussels and Maastricht. The goal of the ALAMAS symposia, and this associated book, is to increase awareness and interest in adaptation and learning for single agents and mul- agent systems, and encourage collaboration between machine learning experts, softwareengineeringexperts,mathematicians,biologistsandphysicists,andgive a representative overviewof current state of a?airs in this area. It is an inclusive forum where researchers can present recent work and discuss their newest ideas for a ?rst time with their peers. Thesymposiaseriesfocusesonallaspectsofadaptiveandlearningagentsand multi-agent systems, with a particular emphasis on how to modify established learning techniques and/or create new learning paradigms to address the many challenges presented by complex real-world problems. These symposia were a great success and provided a forum for the pres- tation of new ideas and results bearing on the conception of adaptation and learning for single agents and multi-agent systems. Over these three editions we received 51 submissions, of which 17 were carefully selected, including one invited paper of this year’s invited speaker Simon Parsons. This is a very c- petitive acceptance rate of approximately 31%, which, together with two review cycles, has led to a high-quality LNAI volume. We hope that our readers will be inspired by the papers included in this volume.
Book Synopsis Adaptive Agents and Multi-Agent Systems by : Eduardo Alonso
Download or read book Adaptive Agents and Multi-Agent Systems written by Eduardo Alonso and published by Springer. This book was released on 2003-04-23 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: Adaptive Agents and Multi-Agent Systems is an emerging and exciting interdisciplinary area of research and development involving artificial intelligence, computer science, software engineering, and developmental biology, as well as cognitive and social science. This book surveys the state of the art in this emerging field by drawing together thoroughly selected reviewed papers from two related workshops; as well as papers by leading researchers specifically solicited for this book. The articles are organized into topical sections on - learning, cooperation, and communication - emergence and evolution in multi-agent systems - theoretical foundations of adaptive agents
Book Synopsis Adaptive Agents and Multi-Agent Systems II by : Daniel Kudenko
Download or read book Adaptive Agents and Multi-Agent Systems II written by Daniel Kudenko and published by Springer. This book was released on 2009-09-02 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: Adaptive agents and multi-agent systems is an emerging and exciting interdisciplinary area of research and development involving artificial intelligence, software engineering, and developmental biology, as well as cognitive and social science. This book presents 17 revised and carefully reviewed papers taken from two workshops on the topic as well as 2 invited papers by leading researchers in the area. The papers deal with various aspects of machine learning, adaptation, and evolution in the context of agent systems and autonomous agents.
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.
Book Synopsis Adaptive Agents and Multi-agent Systems III Adaptation and Multi-agent Learning by :
Download or read book Adaptive Agents and Multi-agent Systems III Adaptation and Multi-agent Learning written by and published by . This book was released on 2008 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Learning and Adaption in Multi-Agent Systems by : Karl Tuyls
Download or read book Learning and Adaption in Multi-Agent Systems written by Karl Tuyls and published by Springer Science & Business Media. This book was released on 2006-04-10 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-proceedings of the First International Workshop on Learning and Adaption in Multi-Agent Systems, LAMAS 2005, held in The Netherlands, in July 2005, as an associated event of AAMAS 2005. The 13 revised papers presented together with two invited talks were carefully reviewed and selected from the lectures given at the workshop.
Book Synopsis Adaptive Agents and Multi-Agent Systems II by : Daniel Kudenko
Download or read book Adaptive Agents and Multi-Agent Systems II written by Daniel Kudenko and published by Springer. This book was released on 2005-03-04 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: Adaptive agents and multi-agent systems is an emerging and exciting interdisciplinary area of research and development involving artificial intelligence, software engineering, and developmental biology, as well as cognitive and social science. This book presents 17 revised and carefully reviewed papers taken from two workshops on the topic as well as 2 invited papers by leading researchers in the area. The papers deal with various aspects of machine learning, adaptation, and evolution in the context of agent systems and autonomous agents.
Book Synopsis Adaptive and Learning Agents by : Peter Vrancx
Download or read book Adaptive and Learning Agents written by Peter Vrancx and published by Springer Science & Business Media. This book was released on 2012-03-09 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the thoroughly refereed post-conference proceedings of the International Workshop on Adaptive and Learning Agents, ALA 2011, held at the 10th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2011, in Taipei, Taiwan, in May 2011. The 7 revised full papers presented together with 1 invited talk were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on single and multi-agent reinforcement learning, supervised multiagent learning, adaptation and learning in dynamic environments, learning trust and reputation, minority games and agent coordination.
Book Synopsis Adaptive and Learning Agents by : Peter Vrancx
Download or read book Adaptive and Learning Agents written by Peter Vrancx and published by Springer. This book was released on 2012-02-27 with total page 135 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the thoroughly refereed post-conference proceedings of the International Workshop on Adaptive and Learning Agents, ALA 2011, held at the 10th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2011, in Taipei, Taiwan, in May 2011. The 7 revised full papers presented together with 1 invited talk were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on single and multi-agent reinforcement learning, supervised multiagent learning, adaptation and learning in dynamic environments, learning trust and reputation, minority games and agent coordination.
Book Synopsis Cooperative Control of Multi-Agent Systems by : Frank L. Lewis
Download or read book Cooperative Control of Multi-Agent Systems written by Frank L. Lewis and published by Springer Science & Business Media. This book was released on 2013-12-31 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cooperative Control of Multi-Agent Systems extends optimal control and adaptive control design methods to multi-agent systems on communication graphs. It develops Riccati design techniques for general linear dynamics for cooperative state feedback design, cooperative observer design, and cooperative dynamic output feedback design. Both continuous-time and discrete-time dynamical multi-agent systems are treated. Optimal cooperative control is introduced and neural adaptive design techniques for multi-agent nonlinear systems with unknown dynamics, which are rarely treated in literature are developed. Results spanning systems with first-, second- and on up to general high-order nonlinear dynamics are presented. Each control methodology proposed is developed by rigorous proofs. All algorithms are justified by simulation examples. The text is self-contained and will serve as an excellent comprehensive source of information for researchers and graduate students working with multi-agent systems.
Book Synopsis Adaptive Learning Agents by : Matthew E. Taylor
Download or read book Adaptive Learning Agents written by Matthew E. Taylor and published by Springer Science & Business Media. This book was released on 2010-03-24 with total page 149 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the thoroughly refereed post-conference proceedings of the Second Workshop on Adaptive and Learning Agents, ALA 2009, held as part of the AAMAS 2009 conference in Budapest, Hungary, in May 2009. The 8 revised full papers presented were carefully reviewed and selected from numerous submissions. They cover a variety of themes: single and multi-agent reinforcement learning, the evolution and emergence of cooperation in agent systems, sensor networks and coordination in multi-resource job scheduling.
Book Synopsis Agent-Oriented Methodologies by : Henderson-Sellers, Brian
Download or read book Agent-Oriented Methodologies written by Henderson-Sellers, Brian and published by IGI Global. This book was released on 2005-04-30 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The book presents, analyzes and compares the most significant methodological approaches currently available for the creation of agent-oriented software systems"--Provided by publisher.
Book Synopsis Adaptive Agents and Multi-Agent Systems III. Adaptation and Multi-Agent Learning by : Karl Tuyls
Download or read book Adaptive Agents and Multi-Agent Systems III. Adaptation and Multi-Agent Learning written by Karl Tuyls and published by Springer Science & Business Media. This book was released on 2008-02-08 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains selected and revised papers of the European Symposium on Adaptive and Learning Agents and Multi-Agent Systems (ALAMAS), editions 2005, 2006 and 2007, held in Paris, Brussels and Maastricht. The goal of the ALAMAS symposia, and this associated book, is to increase awareness and interest in adaptation and learning for single agents and mul- agent systems, and encourage collaboration between machine learning experts, softwareengineeringexperts,mathematicians,biologistsandphysicists,andgive a representative overviewof current state of a?airs in this area. It is an inclusive forum where researchers can present recent work and discuss their newest ideas for a ?rst time with their peers. Thesymposiaseriesfocusesonallaspectsofadaptiveandlearningagentsand multi-agent systems, with a particular emphasis on how to modify established learning techniques and/or create new learning paradigms to address the many challenges presented by complex real-world problems. These symposia were a great success and provided a forum for the pres- tation of new ideas and results bearing on the conception of adaptation and learning for single agents and multi-agent systems. Over these three editions we received 51 submissions, of which 17 were carefully selected, including one invited paper of this year’s invited speaker Simon Parsons. This is a very c- petitive acceptance rate of approximately 31%, which, together with two review cycles, has led to a high-quality LNAI volume. We hope that our readers will be inspired by the papers included in this volume.
Book Synopsis Foundations of Trusted Autonomy by : Hussein A. Abbass
Download or read book Foundations of Trusted Autonomy written by Hussein A. Abbass and published by Springer. This book was released on 2018-01-15 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book establishes the foundations needed to realize the ultimate goals for artificial intelligence, such as autonomy and trustworthiness. Aimed at scientists, researchers, technologists, practitioners, and students, it brings together contributions offering the basics, the challenges and the state-of-the-art on trusted autonomous systems in a single volume. The book is structured in three parts, with chapters written by eminent researchers and outstanding practitioners and users in the field. The first part covers foundational artificial intelligence technologies, while the second part covers philosophical, practical and technological perspectives on trust. Lastly, the third part presents advanced topics necessary to create future trusted autonomous systems. The book augments theory with real-world applications including cyber security, defence and space.
