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A Concise Introduction To Multiagent Systems And Distributed Artificial Intelligence
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Book Synopsis A Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence by : Nikos Kolobov
Download or read book A Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence written by Nikos Kolobov and published by Springer Nature. This book was released on 2022-06-01 with total page 71 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multiagent systems is an expanding field that blends classical fields like game theory and decentralized control with modern fields like computer science and machine learning. This monograph provides a concise introduction to the subject, covering the theoretical foundations as well as more recent developments in a coherent and readable manner. The text is centered on the concept of an agent as decision maker. Chapter 1 is a short introduction to the field of multiagent systems. Chapter 2 covers the basic theory of singleagent decision making under uncertainty. Chapter 3 is a brief introduction to game theory, explaining classical concepts like Nash equilibrium. Chapter 4 deals with the fundamental problem of coordinating a team of collaborative agents. Chapter 5 studies the problem of multiagent reasoning and decision making under partial observability. Chapter 6 focuses on the design of protocols that are stable against manipulations by self-interested agents. Chapter 7 provides a short introduction to the rapidly expanding field of multiagent reinforcement learning. The material can be used for teaching a half-semester course on multiagent systems covering, roughly, one chapter per lecture.
Book Synopsis A Concise Introduction To Multiagent Systems And Distributed Artificial Intelligence by : Nikos Vlassis
Download or read book A Concise Introduction To Multiagent Systems And Distributed Artificial Intelligence written by Nikos Vlassis and published by . This book was released on 2007 with total page 71 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A Concise Introduction to Decentralized POMDPs by : Frans A. Oliehoek
Download or read book A Concise Introduction to Decentralized POMDPs written by Frans A. Oliehoek and published by Springer. This book was released on 2016-06-03 with total page 146 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces multiagent planning under uncertainty as formalized by decentralized partially observable Markov decision processes (Dec-POMDPs). The intended audience is researchers and graduate students working in the fields of artificial intelligence related to sequential decision making: reinforcement learning, decision-theoretic planning for single agents, classical multiagent planning, decentralized control, and operations research.
Book Synopsis Value-Based Planning for Teams of Agents in Stochastic Partially Observable Environments by : Frans Oliehoek
Download or read book Value-Based Planning for Teams of Agents in Stochastic Partially Observable Environments written by Frans Oliehoek and published by Amsterdam University Press. This book was released on 2010 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this thesis decision-making problems are formalized using a stochastic discrete-time model called decentralized partially observable Markov decision process (Dec-POMDP).
Book Synopsis Population-Based Approaches to the Resource-Constrained and Discrete-Continuous Scheduling by : Ewa Ratajczak-Ropel
Download or read book Population-Based Approaches to the Resource-Constrained and Discrete-Continuous Scheduling written by Ewa Ratajczak-Ropel and published by Springer. This book was released on 2017-08-21 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses two of the most difficult and computationally intractable classes of problems: discrete resource constrained scheduling, and discrete-continuous scheduling. The first part of the book discusses problems belonging to the first class, while the second part deals with problems belonging to the second class. Both parts together offer valuable insights into the possibility of implementing modern techniques and tools with a view to obtaining high-quality solutions to practical and, at the same time, computationally difficult problems. It offers a valuable source of information for practitioners dealing with the real-world scheduling problems in industry, management and administration. The authors have been working on the respective problems for the last decade, gaining scientific recognition through publications and active participation in the international scientific conferences, and their results are obtained using population-based methods. Dr E. Ratajczk-Ropel explores multiple agent and A-Team concepts, while Dr A. Skakovski focuses on evolutionary algorithms with a particular focus on the population learning paradigm.
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 Multi-agent Systems by : Jacques Ferber
Download or read book Multi-agent Systems written by Jacques Ferber and published by Addison-Wesley Professional. This book was released on 1999 with total page 536 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, Jacques Ferber has brought together all the recent developments in the field of multi-agent systems - an area that has seen increasing interest and major developments over the last few years. The author draws on work carried out in various disciplines, including information technology, sociology and cognitive psychology to provide a coherent and instructive picture of the current state-of-the-art. The book introduces and defines the fundamental concepts that need to be understood, clearly describes the work that has been done, and invites readers to reflect upon the possibilities of the future.
Book Synopsis PRICAI 2019: Trends in Artificial Intelligence by : Abhaya C. Nayak
Download or read book PRICAI 2019: Trends in Artificial Intelligence written by Abhaya C. Nayak and published by Springer Nature. This book was released on 2019-08-23 with total page 789 pages. Available in PDF, EPUB and Kindle. Book excerpt: This three-volume set, LNAI 11670, LNAI 11671, and LNAI 11672 constitutes the thoroughly refereed proceedings of the 16th Pacific Rim Conference on Artificial Intelligence, PRICAI 2019, held in Cuvu, Yanuca Island, Fiji, in August 2019. The 111 full papers and 13 short papers presented in these volumes were carefully reviewed and selected from 265 submissions. PRICAI covers a wide range of topics such as AI theories, technologies and their applications in the areas of social and economic importance for countries in the Pacific Rim.
Book Synopsis Multiagent Systems by : Gerhard Weiss
Download or read book Multiagent Systems written by Gerhard Weiss and published by MIT Press. This book was released on 2013-03-08 with total page 917 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first comprehensive introduction to multiagent systems and contemporary distributed artificial intelligence that is suitable as a textbook.
Book Synopsis Advances in Intelligent and Distributed Computing by : Costin Badica
Download or read book Advances in Intelligent and Distributed Computing written by Costin Badica and published by Springer. This book was released on 2010-04-25 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the proceedings of the 1st International Symposium on Intelligent and Distributed Computing, IDC 2007, held in Craiova, Romania, October 2007. Coverage includes: autonomous and adaptive computing; data mining and knowledge discovery; distributed problem solving and decision making; e-business, e-health and e-learning; genetic algorithms; image processing; information retrieval; intelligence in mobile and ubiquitous computing.
Book Synopsis Transactions on Computational Collective Intelligence V by : Ngoc Thanh Nguyen
Download or read book Transactions on Computational Collective Intelligence V written by Ngoc Thanh Nguyen and published by Springer. This book was released on 2011-09-01 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: These Transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as the Semantic Web, social networks and multi-agent systems. TCCI strives to cover new methodological, theoretical and practical aspects of CCI understood as the form of intelligence that emerges from the collaboration and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc., aims to support human and other collective intelligence and to create new forms of CCI in natural and/or artificial systems. This 5th issue contains a collection of 10 carefully selected and thorougly revised contributions. The articles deal with the following topics: web page language identification; a novel image edge detection approach using ant colony optimization techniques; component-based software development through the use of the agent paradigm; a method for integrating gene expression programming and cellular evolutionary algorithms; a model for selecting partners in a society, focussing on contextual fitness; a model for agent knowledge acquisition; methods of faulty video detection; a model for integrating the archival knowledge included in a user profile; a universal and formal description for agent systems; and a real-time and mulitilingual news event extraction system.
Book Synopsis Mining Multimedia Documents by : Wahiba Ben Abdessalem Karaa
Download or read book Mining Multimedia Documents written by Wahiba Ben Abdessalem Karaa and published by CRC Press. This book was released on 2017-04-21 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: The information age has led to an explosion in the amount of information available to the individual and the means by which it is accessed, stored, viewed, and transferred. In particular, the growth of the internet has led to the creation of huge repositories of multimedia documents in a diverse range of scientific and professional fields, as well as the tools to extract useful knowledge from them. Mining Multimedia Documents is a must-read for researchers, practitioners, and students working at the intersection of data mining and multimedia applications. It investigates various techniques related to mining multimedia documents based on text, image, and video features. It provides an insight into the open research problems benefitting advanced undergraduates, graduate students, researchers, scientists and practitioners in the fields of medicine, biology, production, education, government, national security and economics.
Book Synopsis Interactive Collaborative Information Systems by : Robert Babuška
Download or read book Interactive Collaborative Information Systems written by Robert Babuška and published by Springer Science & Business Media. This book was released on 2010-04-21 with total page 598 pages. Available in PDF, EPUB and Kindle. Book excerpt: The increasing complexity of our world demands new perspectives on the role of technology in human decision making. We need new technology to cope with the increasingly complex and information-rich nature of our modern society. This is particularly true for critical environments such as crisis management and traffic management, where humans need to engage in close collaborations with artificial systems to observe and understand the situation and respond in a sensible way. The book Interactive Collaborative Information Systems addresses techniques that support humans in situations in which complex information handling is required and that facilitate distributed decision-making. The theme integrates research from information technology, artificial intelligence and human sciences to obtain a multidisciplinary foundation from which innovative actor-agent systems for critical environments can emerge. It emphasizes the importance of building actor-agent communities: close collaborations between human and artificial actors that highlight their complementary capabilities in situations where task distribution is flexible and adaptive. This book focuses on the employment of innovative agent technology, advanced machine learning techniques, and cognition-based interface technology for the use in collaborative decision support systems.
Book Synopsis Agents and Artificial Intelligence by : Joaquim Filipe
Download or read book Agents and Artificial Intelligence written by Joaquim Filipe and published by Springer. This book was released on 2013-01-03 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-conference proceedings of the Third International Conference on Agents and Artificial Intelligence, ICAART 2011, held in Rome, Italy, in January 2011. The 26 revised full papers presented together with two invited paper were carefully reviewed and selected from 367 submissions. The papers are organized in two topical sections on artificial intelligence and on agents.
Book Synopsis Advances in Intelligent Robotics and Collaborative Automation by : Richard Duro
Download or read book Advances in Intelligent Robotics and Collaborative Automation written by Richard Duro and published by CRC Press. This book was released on 2022-09-01 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an overview of a series of advanced research lines in robotics as well as of design and development methodologies for intelligent robots and their intelligent components. It represents a selection of extended versions of the best papers presented at the Seventh IEEE International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications IDAACS 2013 that were related to these topics. Its contents integrate state of the art computational intelligence based techniques for automatic robot control to novel distributed sensing and data integration methodologies that can be applied to intelligent robotics and automation systems. The objective of the text was to provide an overview of some of the problems in the field of robotic systems and intelligent automation and the approaches and techniques that relevant research groups within this area are employing to try to solve them.The contributions of the different authors have been grouped into four main sections:• Robots• Control and Intelligence• Sensing• Collaborative automationThe chapters have been structured to provide an easy to follow introduction to the topics that are addressed, including the most relevant references, so that anyone interested in this field can get started in the area.
Book Synopsis RoboCup 2005: Robot Soccer World Cup IX by : Ansgar Bredenfeld
Download or read book RoboCup 2005: Robot Soccer World Cup IX written by Ansgar Bredenfeld and published by Springer Science & Business Media. This book was released on 2006-06-21 with total page 742 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the ninth official archival publication devoted to RoboCup, documenting presentations at the RoboCup 2005 International Symposium, held in Osaka, Japan, July 2005 alongside the RoboCup Competition. The book presents 34 revised full papers and 38 revised short papers together with two award-winning papers. This is a valuable source of reference and inspiration for those interested in robotics or distributed intelligence, and mandatory reading for the rapidly growing RoboCup community.
Book Synopsis Lifelong Machine Learning by : Zhiyuan Chaudhri
Download or read book Lifelong Machine Learning written by Zhiyuan Chaudhri and published by Springer Nature. This book was released on 2016-11-07 with total page 137 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lifelong Machine Learning (or Lifelong Learning) is an advanced machine learning paradigm that learns continuously, accumulates the knowledge learned in previous tasks, and uses it to help future learning. In the process, the learner becomes more and more knowledgeable and effective at learning. This learning ability is one of the hallmarks of human intelligence. However, the current dominant machine learning paradigm learns in isolation: given a training dataset, it runs a machine learning algorithm on the dataset to produce a model. It makes no attempt to retain the learned knowledge and use it in future learning. Although this isolated learning paradigm has been very successful, it requires a large number of training examples, and is only suitable for well-defined and narrow tasks. In comparison, we humans can learn effectively with a few examples because we have accumulated so much knowledge in the past which enables us to learn with little data or effort. Lifelong learning aims to achieve this capability. As statistical machine learning matures, it is time to make a major effort to break the isolated learning tradition and to study lifelong learning to bring machine learning to new heights. Applications such as intelligent assistants, chatbots, and physical robots that interact with humans and systems in real-life environments are also calling for such lifelong learning capabilities. Without the ability to accumulate the learned knowledge and use it to learn more knowledge incrementally, a system will probably never be truly intelligent. This book serves as an introductory text and survey to lifelong learning.
