Autonomous Agents And Multi Agent Systems Explorations In Learning Self Organization And Adaptive Computation

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Autonomous Agents and Multi-agent Systems

Author : Jiming Liu
Publisher : World Scientific
Page : 308 pages
File Size : 45,5 Mb
Release : 2001
Category : Computers
ISBN : 9812811842

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Autonomous Agents and Multi-agent Systems by Jiming Liu Pdf

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.

Quality Assurance of Agent-Based and Self-Managed Systems

Author : Reiner Dumke,Steffen Mencke,Cornelius Wille
Publisher : CRC Press
Page : 176 pages
File Size : 49,8 Mb
Release : 2009-08-26
Category : Computers
ISBN : 1439812675

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Quality Assurance of Agent-Based and Self-Managed Systems by Reiner Dumke,Steffen Mencke,Cornelius Wille Pdf

The challenges in implementing intelligent and autonomous software systems remain the development of self-adapting systems, self-healing applications, corporate global creation, and collaborated robotic teams. With software agent technology widely recognized as a key approach in implementing such global infrastructure, the importance of the role of quality assurance of agent-based systems and system development is growing daily. Based on the authors’ more than fifteen years of experience in software agent technology, Quality of Agent-Based and Self-Managed Systems presents the basics principles and structures of agent technology. It covers the main quality issues of software system development and provides examples of agent measurement and evaluation. The authors focus on software agent systems and multi-agent systems (MAS) and discuss the determination of quality properties. They also explain different techniques and approaches to evaluate the development of MAS. The final chapter summarizes quality assurance approaches for agent-based systems and discusses some open problems and future directions. Although often complex and difficult to manage, the applications for software agent systems in essential life systems increase every day. Since the quality of the agent-based self-managing systems is a central point of software risks, analyzing, evaluating, and improving the quality measurement situation will always be a concern when developing these systems. With more than sixty illustrations and twenty tables, this book builds a foundation in quality and quality control for agent-based technology.

Agent Computing and Multi-Agent Systems

Author : Ramakoti Sadananada
Publisher : Springer
Page : 827 pages
File Size : 46,8 Mb
Release : 2006-07-25
Category : Computers
ISBN : 9783540368601

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Agent Computing and Multi-Agent Systems by Ramakoti Sadananada Pdf

This book constitutes the refereed proceedings of the 9th Pacific Rim International Workshop on Multi-Agents, PRIMA 2006, held in Guilin, China, in August 2006. The book presents 39 revised full papers and 57 revised short papers together with 4 invited talks, addressing subjects from theoretical and methodological issues to applications. Topics include agent models, agent architectures, agent-oriented software engineering, semantic Web service, collaboration, coordination and negotiation, and more.

Knowledge Science, Engineering and Management

Author : Christos Douligeris,Dimitris Karagiannis,Dimitris Apostolou
Publisher : Springer Nature
Page : 868 pages
File Size : 42,7 Mb
Release : 2019-08-20
Category : Computers
ISBN : 9783030295516

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Knowledge Science, Engineering and Management by Christos Douligeris,Dimitris Karagiannis,Dimitris Apostolou Pdf

This two-volume set of LNAI 11775 and LNAI 11776 constitutes the refereed proceedings of the 12th International Conference on Knowledge Science, Engineering and Management, KSEM 2019, held in Athens, Greece, in August 2019. The 77 revised full papers and 23 short papers presented together with 10 poster papers were carefully reviewed and selected from 240 submissions. The papers of the first volume are organized in the following topical sections: Formal Reasoning and Ontologies; Recommendation Algorithms and Systems; Social Knowledge Analysis and Management ; Data Processing and Data Mining; Image and Video Data Analysis; Deep Learning; Knowledge Graph and Knowledge Management; Machine Learning; and Knowledge Engineering Applications. The papers of the second volume are organized in the following topical sections: Probabilistic Models and Applications; Text Mining and Document Analysis; Knowledge Theories and Models; and Network Knowledge Representation and Learning.

Adaptive Agents and Multi-Agent Systems

Author : Eduardo Alonso,Daniel Kudenko,Dimitar Kazakov
Publisher : Springer Science & Business Media
Page : 335 pages
File Size : 49,6 Mb
Release : 2003-04-23
Category : Computers
ISBN : 9783540400684

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Adaptive Agents and Multi-Agent Systems by Eduardo Alonso,Daniel Kudenko,Dimitar Kazakov Pdf

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

Agents and Computational Autonomy

Author : Matthias Nickles,Michael Rovatsos,Gerhard Weiß
Publisher : Springer
Page : 277 pages
File Size : 55,7 Mb
Release : 2004-08-05
Category : Computers
ISBN : 9783540259282

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Agents and Computational Autonomy by Matthias Nickles,Michael Rovatsos,Gerhard Weiß Pdf

This volume contains the postproceedings of the 1st International Workshop on Computational Autonomy – Potential, Risks, Solutions (AUTONOMY 2003), held at the 2nd International Joint Conference on Autonomous Agents and Multi-agentSystems(AAMAS2003),July14,2003,Melbourne,Australia.Apart from revised versions of the accepted workshop papers, we have included invited contributions from leading experts in the ?eld. With this, the present volume represents the ?rst comprehensive survey of the state-of-the-art of research on autonomy, capturing di?erent theories of autonomy, perspectives on autonomy in di?erent kinds of agent-based systems, and practical approaches to dealing with agent autonomy. Agent orientation refers to a software development perspective that has evolved in the past 25 years in the ?elds of computational agents and multiagent systems. The basic notion underlying this perspective is that of a computational agent, that is, an entity whose behavior deserves to be called ?exible, social, and autonomous. As an autonomous entity, an agent possesses action choice and is at least to some extent capable of deciding and acting under self-control. Through its emphasis on autonomy, agent orientation signi?cantly di?ers from traditional engineering perspectives such as structure orientation or object o- entation. These perspectives are targeted on the development of systems whose behavior is fully determined and controlled by external units (e.g., by a p- grammer at design time and/or a user at run time), and thus inherently fail to capture the notion of autonomy.

Autonomy Oriented Computing

Author : Jiming Liu,XiaoLong Jin,Kwok Ching Tsui
Publisher : Springer Science & Business Media
Page : 239 pages
File Size : 55,8 Mb
Release : 2006-07-02
Category : Science
ISBN : 9781402081224

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Autonomy Oriented Computing by Jiming Liu,XiaoLong Jin,Kwok Ching Tsui Pdf

Autonomy Oriented Computing is a comprehensive reference for scientists, engineers, and other professionals concerned with this promising development in computer science. It can also be used as a text in graduate/undergraduate programs in a broad range of computer-related disciplines, including Robotics and Automation, Amorphous Computing, Image Processing, Programming Paradigms, Computational Biology, etc. Part One describes the basic concepts and characteristics of an AOC system and enumerates the critical design and engineering issues faced in AOC system development. Part Two gives detailed analyses of methodologies and case studies to evaluate AOC used in problem solving and complex system modeling. The final chapter outlines possibilities for future research and development. Numerous illustrative examples, experimental case studies, and exercises at the end of each chapter of Autonomy Oriented Computing help particularize and consolidate the methodologies and theories presented.

Coevolutionary Computation and Multiagent Systems

Author : Li-cheng Jiao,Jing Liu,Weicai Zhong
Publisher : WIT Press
Page : 271 pages
File Size : 53,9 Mb
Release : 2012
Category : Computers
ISBN : 9781845646387

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Coevolutionary Computation and Multiagent Systems by Li-cheng Jiao,Jing Liu,Weicai Zhong Pdf

The origins of evolutionary computation can be traced back to the late 1950's where it remained, almost unknown, to the broader scientific community for three decades until the 1980's when it started to receive significant attention, as did the study of multi-agent systems (MAS). This focuses on systems in which many intelligent agents interact with each other. Today these systems are not simply a research topic but are also beginning to become an important subject of academic teaching and industrial and commercial application. Co-Evolutionary Computational and Multi-Agent Systems introduces the author's recent work in these two new and important branches of artificial intelligence.

Web Intelligence Meets Brain Informatics

Author : Ning Zhong,Jiming Liu,Yiyu Yao,Jinglong Wu,Shengfu Lu,Kuncheng Li
Publisher : Springer Science & Business Media
Page : 526 pages
File Size : 48,7 Mb
Release : 2007-11-29
Category : Computers
ISBN : 9783540770275

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Web Intelligence Meets Brain Informatics by Ning Zhong,Jiming Liu,Yiyu Yao,Jinglong Wu,Shengfu Lu,Kuncheng Li Pdf

This book constitutes the thoroughly refereed post-workshop proceedings of the First WICI International Workshop on Web Intelligence meets Brain Informatics, WImBI 2006, which was held in Beijing, China, in December 2006. The workshop explores a new perspective of Web Intelligence (WI) research from the viewpoint of Brain Informatics (BI). The 26 revised full-length papers presented together with three introductory lectures have been carefully reviewed and selected.

Agent-Based Evolutionary Search

Author : Ruhul A. Sarker,Tapabrata Ray
Publisher : Springer Science & Business Media
Page : 291 pages
File Size : 48,6 Mb
Release : 2010-07-12
Category : Technology & Engineering
ISBN : 9783642134258

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Agent-Based Evolutionary Search by Ruhul A. Sarker,Tapabrata Ray Pdf

Agent based evolutionary search is an emerging paradigm in computational int- ligence offering the potential to conceptualize and solve a variety of complex problems such as currency trading, production planning, disaster response m- agement, business process management etc. There has been a significant growth in the number of publications related to the development and applications of agent based systems in recent years which has prompted special issues of journals and dedicated sessions in premier conferences. The notion of an agent with its ability to sense, learn and act autonomously - lows the development of a plethora of efficient algorithms to deal with complex problems. This notion of an agent differs significantly from a restrictive definition of a solution in an evolutionary algorithm and opens up the possibility to model and capture emergent behavior of complex systems through a natural age- oriented decomposition of the problem space. While this flexibility of represen- tion offered by agent based systems is widely acknowledged, they need to be - signed for specific purposes capturing the right level of details and description. This edited volume is aimed to provide the readers with a brief background of agent based evolutionary search, recent developments and studies dealing with various levels of information abstraction and applications of agent based evo- tionary systems. There are 12 peer reviewed chapters in this book authored by d- tinguished researchers who have shared their experience and findings spanning across a wide range of applications.

Complex Medical Engineering

Author : J.L. Wu,K. Ito,S. Tobimatsu,T. Nishida,H. Fukuyama
Publisher : Springer Science & Business Media
Page : 597 pages
File Size : 45,8 Mb
Release : 2007-12-15
Category : Technology & Engineering
ISBN : 9784431309628

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Complex Medical Engineering by J.L. Wu,K. Ito,S. Tobimatsu,T. Nishida,H. Fukuyama Pdf

In the twenty-first century, applications in medicine and engineering must acquire greater safety and flexibility if they are to yield better products at higher efficiency. Experts from academia, industry, and government research laboratories who have pioneered CME ideas and technologies describe its concept and research approach and discuss related hardware and software, science and technology, and medicine and engineering. This book will be invaluable to scientists, researchers, and graduates in the emerging field of CME.

Agents and Data Mining Interaction

Author : Longbing Cao,A.E. Gorodetsky,Jiming Liu,Gerhard Weiß,Philip S. Yu
Publisher : Springer Science & Business Media
Page : 204 pages
File Size : 52,6 Mb
Release : 2009-07-30
Category : Computers
ISBN : 9783642036033

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Agents and Data Mining Interaction by Longbing Cao,A.E. Gorodetsky,Jiming Liu,Gerhard Weiß,Philip S. Yu Pdf

The2009InternationalWorkshoponAgentsandDataMiningInteraction(ADMI 2009) was a joint event with AAMAS2009. In recentyears,agents and data mining interaction (ADMI), or agent mining forshort,hasemergedasaverypromisingresearch?eld. Followingthesuccessof ADMI 2006 in Hong Kong, ADMI 2007 in San Jose, and ADMI 2008 in Sydney, the ADMI 2009 workshop in Budapest provided a premier forum for sharing research and engineering results, as well as potential challenges and prospects encountered in the synergy between agents and data mining. As usual, the ADMI workshop encouraged and promoted theoretical and applied research and development, which aims at: – Exploitingagent-drivendatamininganddemonstratinghowintelligentagent technology can contribute to critical data mining problems in theory and practice – Improving data mining-driven agents and showing how data mining can strengthen agent intelligence in research and practical applications – Exploring the integration of agents and data mining toward a super-intelligent information processing and systems – Identifying challenges and directions for future research on the synergy between agents and data mining ADMI 2009 featured two invited talks and twelve selected papers. The ?rst invited talk was on “Agents and Data Mining in Bioinformatics,” with the s- ond focusing on “Knowledge-Based Reinforcement Learning. ” The ten accepted papers are from seven countries. A majority of submissions came from Eu- pean countries, indicating the boom of ADMI research in Europe. In addition the two invited papers, addressed fundamental issues related to agent-driven data mining, data mining-driven agents, and agent mining applications. The proceedings of the ADMI workshops will be published as part of the LNAIseriesbySpringer. WeappreciatethesupportofSpringer,andinparticular Alfred Hofmann.

Pattern Recognition and Machine Intelligence

Author : Sankar K. Pal,Sambhunath Biswas
Publisher : Springer
Page : 808 pages
File Size : 42,5 Mb
Release : 2005-12-07
Category : Computers
ISBN : 9783540324201

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Pattern Recognition and Machine Intelligence by Sankar K. Pal,Sambhunath Biswas Pdf

This book constitutes the refereed proceedings of the First International Conference on Pattern Recognition and Machine Intelligence, PReMI 2005, held in Kolkata, India in December 2005. The 108 revised papers presented together with 6 keynote talks and 14 invited papers were carefully reviewed and selected from 250 submissions. The papers are organized in topical sections on clustering, feature selection and learning, classification, neural networks and applications, fuzzy logic and applications, optimization and representation, image processing and analysis, video processing and computer vision, image retrieval and data mining, bioinformatics application, Web intelligence and genetic algorithms, as well as rough sets, case-based reasoning and knowledge discovery.

Rough Sets, Fuzzy Sets, Data Mining and Granular Computing

Author : Aijun An,Jerzy Stefanowski,Sheela Ramanna,Cory Butz,Witold Pedrycz
Publisher : Springer Science & Business Media
Page : 598 pages
File Size : 43,8 Mb
Release : 2007-04-27
Category : Computers
ISBN : 9783540725299

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Rough Sets, Fuzzy Sets, Data Mining and Granular Computing by Aijun An,Jerzy Stefanowski,Sheela Ramanna,Cory Butz,Witold Pedrycz Pdf

This book constitutes the refereed proceedings of the 11th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2007, held in Toronto, Canada in May 2007 in conjunction with the Second International Conference on Rough Sets and Knowledge Technology, RSKT 2007, both as part of the Joint Rough Set Symposium, JRS 2007.