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Adaptive Agents And Multi Agent Systems Ii
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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 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 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 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 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 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 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 Cooperative Information Agents X by : Matthias Klusch
Download or read book Cooperative Information Agents X written by Matthias Klusch and published by Springer Science & Business Media. This book was released on 2006-08-30 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 10th International Workshop on Cooperative Information Agents, CIA 2006, held in Edinburgh, UK in September 2006. The 29 revised full papers presented together with four invited papers were carefully reviewed and selected from 58 submissions. The papers are organized in topical sections.
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 Autonomous Agents And Multi-agent Systems: Explorations In Learning, Self-organization And Adaptive Computation by : Jiming Liu
Download or read book Autonomous Agents And Multi-agent Systems: Explorations In Learning, Self-organization And Adaptive Computation written by Jiming Liu and published by World Scientific. This book was released on 2001-08-17 with total page 302 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.
Book Synopsis Innovations in Multi-Agent Systems and Application – 1 by : Dipti Srinivasan
Download or read book Innovations in Multi-Agent Systems and Application – 1 written by Dipti Srinivasan and published by Springer Science & Business Media. This book was released on 2010-08-10 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an overview of multi-agent systems and several applications that have been developed for real-world problems. Multi-agent systems is an area of distributed artificial intelligence that emphasizes the joint behaviors of agents with some degree of autonomy and the complexities arising from their interactions. Multi-agent systems allow the subproblems of a constraint satisfaction problem to be subcontracted to different problem solving agents with their own interest and goals. This increases the speed, creates parallelism and reduces the risk of system collapse on a single point of failure. Different multi-agent architectures, that are tailor-made for a specific application are possible. They are able to synergistically combine the various computational intelligent techniques for attaining a superior performance. This gives an opportunity for bringing the advantages of various techniques into a single framework. It also provides the freedom to model the behavior of the system to be as competitive or coordinating, each having its own advantages and disadvantages.
Book Synopsis Intelligent Agents and Multi-Agent Systems by : Michael Wayne Barley
Download or read book Intelligent Agents and Multi-Agent Systems written by Michael Wayne Barley and published by Springer Science & Business Media. This book was released on 2005-03-08 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-proceedings of the 7th Pacific Rim International Workshop on Multi-Agents, PRIMA 2004, held in Auckland, New Zealand in August 2004 in conjunction with PRICAI 2004. The 24 revised full papers presented went through two rounds of reviewing and improvement and were selected from 52 submissions. The papers address many current topics in multi-agent research and development, ranging from theoretical and methodological issues to various applications in different fields.
Book Synopsis Engineering Multi-Agent Systems by : Matteo Baldoni
Download or read book Engineering Multi-Agent Systems written by Matteo Baldoni and published by Springer. This book was released on 2016-12-15 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes revised, selected, and invited papers from the 4th International Workshop on Engineering Multi-Agent Systems, EMAS 2016, held in Singapore, in May 2016, in conjunction with AAMAS. The 10 full papers presented in this volume were carefully reviewed and selected from 14 submissions. The book also contains 2 invited papers; extended versions of AAMAS 2016 demonstration abstracts. EMAS deals with MAS software engineering processes, methodologies and techniques; Programming languages for MAS; Formal methods and declarative technologies for the specification, validation and verification of MAS; and development tools.
