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This book constitutes the thoroughly refereed post-proceedings of the First International Workshop on Radical Agent Concepts, WRAC 2002, held in McLean, VA, USA in January 2002. The 32 revised full papers presented together with an invited article, 6 poster papers, and 2 panel reports were carefully reviewed and selected for inclusion in the book. The papers are organized in topical sections on adaptation and learning, agent-based software engineering, agent architectures, agent communication and coordination, and innovative applications.
This book constitutes the thoroughly refereed post-proceedings of the Second International Workshop on Radical Agent Concepts, WRAC 2005, held in Greenbelt, MD, USA in September 2005. The 27 full papers presented are fully revised to incorporate reviewers' comments and discussions at the workshop. Topics addressed are social aspects of agents, agent architectures, autonomic systems, agent communities, and agent intelligence.
The purpose of this volume is to present current work of the Intelligent Computer Graphics community, a community growing up year after year. This volume is a kind of continuation of the previously published Springer volume "Artificial Intelligence Techniques for Computer Graphics". Nowadays, intelligent techniques are more and more used in Computer Graphics in order, not only to optimise the processing time, but also to find more accurate solutions for a lot of Computer Graphics problems, than with traditional methods. This volume contains both invited and selected extended papers from the last 3IA Conference (3IA’2009), which has been held in Athens (Greece) in May 2009. The Computer Graphics areas approached in this volume are behavioural modelling, declarative modelling, intelligent modelling and rendering, data visualisation, scene understanding, realistic rendering, and more.
The book addresses the relationship between knowledge, complexity and innovation systems. It integrates research findings from a broad area including economics, business studies, management studies, geography, mathematics and science & technology contributions from a wide range group of international experts. In particular, it offers insights about knowledge creation and spillovers, innovation and learning systems, innovation diffusion processes and innovation policies. The contributions provide an excellent coverage of current conceptual and theoretical developments and valuable insights from both empirical and conceptual work. The reader gets an overview about the state of the art of the role of innovation systems and knowledge creation and diffusion in geographical space.
Agent-based modeling is a new technique for understanding how the dynamics of biological, social, and other complex systems arise from the characteristics and behaviors of the agents making up these systems. This innovative textbook gives students and scientists the skills to design, implement, and analyze agent-based models. It starts with the fundamentals of modeling and provides an introduction to NetLogo, an easy-to-use, free, and powerful software platform. Nine chapters then each introduce an important modeling concept and show how to implement it using NetLogo. The book goes on to present strategies for finding the right level of model complexity and developing theory for agent behavior, and for analyzing and learning from models. Agent-Based and Individual-Based Modeling features concise and accessible text, numerous examples, and exercises using small but scientific models. The emphasis throughout is on analysis--such as software testing, theory development, robustness analysis, and understanding full models--and on design issues like optimizing model structure and finding good parameter values. The first hands-on introduction to agent-based modeling, from conceptual design to computer implementation to parameterization and analysis Provides an introduction to NetLogo with nine chapters introducing an important modeling concept and showing how to implement it using NetLogo Filled with examples and exercises, with updates and supplementary materials at Designed for students and researchers across the biological and social sciences Written by leading practitioners Leading universities that have adopted this book include: Amherst College Brigham Young University Carnegie Mellon University Cornell University Miami University Northwestern University Old Dominion University Portland State University Rhodes College Susquehanna University University College, Dublin University of Arizona University of British Columbia University of Michigan University of South Florida University of Texas at Austin University of Virginia
Nowadays, the Internet is the most commonly used medium for the exchange of data in di?erent forms. Presently, over 60 million machines have access to the Internet and to its resources. However, the Internet is also the largest distributed system o?ering di?erent computational services and possibilities not only for cluster computing. If the needs of modern mobile computing and multimedia systems are taken into account, it becomes clear that modern methods must ensure an e?ective development and management of the Internet allowing each user fast access to this huge resource space. The Innovative Internet Computing Systems workshop is organized by the Gesellschaft fur ̈ Informatik(GI) in Germany. It intends to be an open me- ing point for scientists dealing with di?erent aspects of this complex topic. In contrast to the Distributed Communities on the Web workshops, which can be 2 considered as the roots of I CS, special attention is given to fundamental - search works and the application of theoretical and formal results in practical implementations.
This thesis constitutes an extraordinary innovative research approach in transferring the concepts and methods of complex systems to risk research. It ambitiously bridges the barriers between theoretical, empirical and methodical research work and integrates these fields into one comprehensive approach of dealing with uncertainty in socio-ecological systems. The developed agent-based simulation aims at the dynamics of social vulnerability in the considered system of the German North Sea Coast. Thus, the social simulation provides an analytical method to explore the individual, relational, and spatial aspects leading to dynamics of vulnerability in society. Combining complexity science and risk research by the method of agent-based simulation hereby emphasizes the importance of understanding interrelations inside the system for the system's development, i.e. for the evolving. Based on a vulnerability assessment regarding vulnerability characteristics, present risk behavior and self-protection preferences of private households against the impacts of flooding and storm surges, possible system trajectories could be explored by means of simulation experiments. The system-analytical approach therefore contributes to an integrated consideration of multi-dimensional and context-sensitv social phenomena such as vulnerability. Furthermore it achieves conceptually and strategically relevant implications for risk research and complex systems research.
This book includes a set of rigorously reviewed world-class manuscripts addressing and detailing state-of-the-art research projects in the areas of Computing Sciences, Software Engineering and Systems. The book presents selected papers from the conference proceedings of the International Conference on Systems, Computing Sciences and Software Engineering (SCSS 2006). All aspects of the conference were managed on-line.
"Supply Chain Event Management (SCEM)" is one of the major topics in application-oriented Supply Chain Management. However, many solutions lack conceptual precision and currently available client-server SCEM-systems are ill-suited for complex supply networks in today's business environment. Agent-based proactive information logistics promises to overcome existing deficits by providing event-related information to all participants in the distributed environment. Hence, follow-up costs of disruptive events are significantly reduced for all network participants and performance of a supply network is increased. In this book a thorough analysis of the event management problem domain is the starting point to develop a generic agent-based approach to Supply Network Event Management. The main focus lies on practical issues of event management (e.g., semantic interoperability) and economic benefits to be achieved with agent technology in this state-of-the-art problem domain.
"This book covers a wide range of the most current research in the development of innovative web-based learning solutions, specifically facilitating and augmenting learning in diverse contemporary organizational settings"--Provided by publisher.
Autonomous systems are one of the most important trends for the next generation of control systems. This book is the first to transfer autonomous systems concepts and intelligent agents theory into the control and operation environment of power systems. The focus of this book is to design a future control system architecture for electrical power systems, which copes with the changed requirements concerning complexity and flexibility and includes several applications for power systems. This book draws the whole circle from the theoretical and IT-concept of autonomous systems for power system control over the required knowledge-based methods and their capabilities to concrete applications within this field.
The idea of a FAABS workshop was first conceived in 1998 at the NASA Goddard Space Flight Center, while the Agent Technology Development Group in the Advanced Architectures and Automation Branch (Code 588) was developing a prototype agent community to automate satellite ground operations. While developing this system, several race conditions arose within and between agents. Due to the complexity of the agents and the communications between them, it was decided that a formal approach was needed to specify the agents and the communications between them, so that the system could be checked for additional errors. A formal model of the inter-agent communications was developed, with the expectation that this would enable us to find more errors. Success in this convinced us of the importance of using formal methods to model agent-based systems. To share our own experiences and to learn how others were approaching these issues, we decided to hold a workshop on formal methods and agent-based systems. The response was overwhelming. The result was the first FAABS workshop, which was held at the NASA Goddard Space Flight Center. Posters, paper presentations, panels, and an invited talk by J Moore stimulated much discussion and subsequent collaboration.
This book introduces major agent platforms, frameworks, systems, tools, and applications. Each system is described by their developers in sufficient detail so that the reader can get a good understanding of the architecture, functionality, and application areas of the system. All systems are running systems. One main focus of the book lies on agent platforms and toolkits.
An agent in a multi-agent system (MAS) has to generate plans for its individual goal, but these plans may con?ict with those that are already being scheduled or executed by other agents. It must also be able to complete its planning and resolution of these con?icts within a reasonable time to have an acceptable quality plan. Although we adopt hierarchical planning (HP, for example, see [7, 12]) using the decision-theoretic planning (DTP) approach [6] for ef?cient planning, it is not trivial to apply HPO to MAS. In HP, appropriate (abstract) plans are selected level by level to maximize the utility U (p), where where p is the expected ?nal plan comprising a sequence of primitive actions. However, in the MAS context, con?icts between agents affect the ef?ciency and quality of resulting plans. When a con?ict is found at lower levels, an additional sophisticated process for avoiding it (con?ict resolution) must be invoked and some extra actions (such as waiting for synchronization and detouring) may have to be added to the plan. The con?ict resolution process may become costly or fail. Even a single con?ict, if it is dif?cult to resolve, will result in a plan with considerably lower quality than it otherwise would have. As a result, in multi-agent systems, the second- or third-best plans may result in better overall performance.

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