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Multi-Agent-Based Simulation XXIII: 23rd International Workshop, MABS 2022, Virtual Event, May 8–9, 2022, Revised Selected Papers (Lecture Notes in Computer Science #13743)
by Fabian Lorig Emma NorlingThis book constitutes the thoroughly refereed and revised selected papers from the 22nd International Workshop on Multi-Agent-Based Simulation, MABS 2022, which took place virtually during May 8–9, 2022. The conference was originally planned to take place in Auckland, New Zealand, but had to change to an online format due to the COVID-19 pandemic.The 11 papers included in these proceedings were carefully reviewed and selected from 17 submissions. They focus on finding efficient solutions to model complex social systems, in areas such as economics, management, organisational and social sciences in general.
Multi-Agent-Based Simulation XXIV: 24th International Workshop, MABS 2023, London, UK, May 29 – June 2, 2023, Revised Selected Papers (Lecture Notes in Computer Science #14558)
by Luis G. Nardin Sara MehryarThis book constitutes the refereed Proceedings of the 24th International Workshop on Multi-Agent-Based Simulation XXIV, MABS 2023, held in London, UK, during May 29–June 2, 2023. The 11 regular papers presented were carefully reviewed and selected from 27 submissions. The papers are organized in subject areas as follows: MABS methodology and tools; MABS and social behavior; and MABS applications.
Multi-Agent Coordination: A Reinforcement Learning Approach (Wiley - IEEE)
by Arup Kumar Sadhu Amit KonarDiscover the latest developments in multi-robot coordination techniques with this insightful and original resource Multi-Agent Coordination: A Reinforcement Learning Approach delivers a comprehensive, insightful, and unique treatment of the development of multi-robot coordination algorithms with minimal computational burden and reduced storage requirements when compared to traditional algorithms. The accomplished academics, engineers, and authors provide readers with both a high-level introduction to, and overview of, multi-robot coordination, and in-depth analyses of learning-based planning algorithms. You'll learn about how to accelerate the exploration of the team-goal and alternative approaches to speeding up the convergence of TMAQL by identifying the preferred joint action for the team. The authors also propose novel approaches to consensus Q-learning that address the equilibrium selection problem and a new way of evaluating the threshold value for uniting empires without imposing any significant computation overhead. Finally, the book concludes with an examination of the likely direction of future research in this rapidly developing field. Readers will discover cutting-edge techniques for multi-agent coordination, including: An introduction to multi-agent coordination by reinforcement learning and evolutionary algorithms, including topics like the Nash equilibrium and correlated equilibrium Improving convergence speed of multi-agent Q-learning for cooperative task planning Consensus Q-learning for multi-agent cooperative planning The efficient computing of correlated equilibrium for cooperative q-learning based multi-agent planning A modified imperialist competitive algorithm for multi-agent stick-carrying applications Perfect for academics, engineers, and professionals who regularly work with multi-agent learning algorithms, Multi-Agent Coordination: A Reinforcement Learning Approach also belongs on the bookshelves of anyone with an advanced interest in machine learning and artificial intelligence as it applies to the field of cooperative or competitive robotics.
Multi-agent Optimization: Cetraro, Italy 2014 (Lecture Notes in Mathematics #2224)
by Angelia Nedić Jong-Shi Pang Gesualdo Scutari Ying Sun Francisco FacchineiThis book contains three well-written research tutorials that inform the graduate reader about the forefront of current research in multi-agent optimization. These tutorials cover topics that have not yet found their way in standard books and offer the reader the unique opportunity to be guided by major researchers in the respective fields. Multi-agent optimization, lying at the intersection of classical optimization, game theory, and variational inequality theory, is at the forefront of modern optimization and has recently undergone a dramatic development. It seems timely to provide an overview that describes in detail ongoing research and important trends. This book concentrates on Distributed Optimization over Networks; Differential Variational Inequalities; and Advanced Decomposition Algorithms for Multi-agent Systems. This book will appeal to both mathematicians and mathematically oriented engineers and will be the source of inspiration for PhD students and researchers.
Multi-Agent Oriented Programming: Programming Multi-Agent Systems Using JaCaMo (Intelligent Robotics and Autonomous Agents series)
by Olivier Boissier Rafael H. Bordini Jomi Hubner Alessandro RicciThe main concepts and techniques of multi-agent oriented programming, which supports the multi-agent systems paradigm at the programming level.A multi-agent system is an organized ensemble of autonomous, intelligent, goal-oriented entities called agents, communicating with each other and interacting within an environment. This book introduces the main concepts and techniques of multi-agent oriented programming, (MAOP) which supports the multi-agent systems paradigm at the programming level. MAOP provides a structured approach based on three integrated dimensions, which the book examines in detail: the agent dimension, used to design the individual (interacting) entities; the environment dimension, which allows the development of shared resources and connections to the real world; and the organization dimension, which structures the interactions among the autonomous agents and the shared environment.
The Multi-Agent Programming Contest 2018: Agents Teaming Up in an Urban Environment (Lecture Notes in Computer Science #11957)
by Jürgen Dix Tobias Ahlbrecht Niklas FiekasThis book constitutes the 13th edition of the annual Multi-Agent Programming Contest, MAPC2018, and presents its participants. The 2018 scenario and all its changes from previous competitions are described in the first contribution, together with a brief description and analysis of the five participating teams and a closer look at the matches. It is followed by a contribution from each team, introducing their methods and tools used to create their agent team and analyzing their performance and the contest.
The Multi-Agent Programming Contest 2019: Agents Assemble – Block by Block to Victory (Lecture Notes in Computer Science #12381)
by Tobias Ahlbrecht Jürgen Dix Niklas Fiekas Tabajara KrausburgThis book constitutes the 14th edition of the annual Multi-Agent Programming Contest, MAPC 2019, and presents its participants.The 2019 scenario and all its changes from previous competitions are described in the first contribution, together with a brief description and analysis of the five participating teams and a closer look at the matches. It is followed by a contribution from each team, introducing their methods and tools used to create their agent team and analyzing their performance and the contest.
The Multi-Agent Programming Contest 2021: One-and-a-Half Decades of Exploring Multi-Agent Systems (Lecture Notes in Computer Science #12947)
by Tobias Ahlbrecht Jürgen Dix Niklas Fiekas Tabajara KrausburgThis book constitutes the 15th edition of the annual Multi-Agent Programming Contest, MAPC 2020. It gives an overview of the competition, describes the current scenario. Furthermore, it summarises this year's participants and their approaches and analyses some of the matches played and the contest as a whole. In the second part, each team contributed a paper describing their approach and experiences with creating a team of agents to participate in the contest.
The Multi-Agent Programming Contest 2022: Coordinating Agents in a Dynamic World: Agents Follow the Rules, or Not (Lecture Notes in Computer Science #13997)
by Tobias Ahlbrecht Jürgen Dix Niklas Fiekas Tabajara KrausburgThis book constitutes the 16th edition of the annual Multi-Agent Programming Contest, MAPC 2022. It gives an overview of the competition, describes the current scenario. The first paper describes the contest in general and this edition in particular, focusing on the organizers’ observations. The following papers are written by the participants of the contest, describing their team of agents and its performance in more detail.
Multi-Agent Systems: Simulation and Applications (Computational Analysis, Synthesis, and Design of Dynamic Systems #Vol. 1)
by Adelinde M. Uhrmacher and Danny WeynsMethodological Guidelines for Modeling and Developing MAS-Based SimulationsThe intersection of agents, modeling, simulation, and application domains has been the subject of active research for over two decades. Although agents and simulation have been used effectively in a variety of application domains, much of the supporting research remains scattered in the literature, too often leaving scientists to develop multi-agent system (MAS) models and simulations from scratch. Multi-Agent Systems: Simulation and Applications provides an overdue review of the wide ranging facets of MAS simulation, including methodological and application-oriented guidelines. This comprehensive resource reviews two decades of research in the intersection of MAS, simulation, and different application domains. It provides scientists and developers with disciplined engineering approaches to modeling and developing MAS-based simulations. After providing an overview of the field’s history and its basic principles, as well as cataloging the various simulation engines for MAS, the book devotes three sections to current and emerging approaches and applications.Simulation for MAS — explains simulation support for agent decision making, the use of simulation for the design of self-organizing systems, the role of software architecture in simulating MAS, and the use of simulation for studying learning and stigmergic interaction.MAS for Simulation — discusses an agent-based framework for symbiotic simulation, the use of country databases and expert systems for agent-based modeling of social systems, crowd-behavior modeling, agent-based modeling and simulation of adult stem cells, and agents for traffic simulation. Tools — presents a number of representative platforms and tools for MAS and simulation, including Jason, James II, SeSAm, and RoboCup Rescue.Complete with over 200 figures and formulas, this reference book provides the necessary overview of experiences with MAS simulation and the tools needed to exploit simulation in MAS for future research in a vast array of applications including home security, computational systems biology, and traffic management.
Multi-Agent Systems: 19th European Conference, EUMAS 2022, Düsseldorf, Germany, September 14–16, 2022, Proceedings (Lecture Notes in Computer Science #13442)
by Dorothea Baumeister Jörg RotheThis book constitutes thoroughly refereed and revised selected papers from the proceedings of 19th European Conference on Multi-Agent Systems, EUMAS 2022, held in Düsseldorf, Germany, during September 14–16, 2022.The 23 full papers included in this book were carefully reviewed and selected from 36 submissions. The book also contains 6 short summaries of talks from PhD students at the PhD day. The papers deal with current topics in the research and development of multi-agent systems.
Multi-Agent Systems
by Nils BullingThis book constitutes the proceedings of the 12th European Conference on Multi-Agent Systems, EUMAS 2014, held in Prague, Czech Republic, in December 2014. The 21 full papers and 8 short papers presented in this volume were carefully reviewed and selected from 79 submissions. They are organized in topical sections named: agent-based models, trust and reputation; coordination, coalitions and teamwork; logic and formal approaches; theories in practice and real-world problems; decision making, conflicts and agreements.
Multi Agent Systems: Technologies and Applications towards Human-Centered (Springer Tracts in Human-Centered Computing)
by Shibakali Gupta Indradip Banerjee Siddhartha BhattacharyyaThe book presents latest multi-agent technologies in human-centered computing (HCC) to provide a new research direction to enrich the human socio computations. Nowadays, the research in the field of multi-agent system (MAS) has gained a wide spread recognition due to its interdisciplinary nature and a vast versatile application domain including engineering, social science, economics, mathematics, operational research, etc. It has been proved that agents in MAS are the most appropriate technological paradigm for providing the most optimal solution for different kinds of complex real world problems that may be industrial or it might be specifically related to social problems. Keeping these features in mind, we planned to tune the research of latest multi-agent technologies and tried to compose its effect on HCC corridor. The primary audience of this book are research students of computer science, information technology and it will be also very helpful for software professionals to get developmental ideas to boost their computing activities.
Multi-Agent Systems: 20th European Conference, EUMAS 2023, Naples, Italy, September 14–15, 2023, Proceedings (Lecture Notes in Computer Science #14282)
by Vadim Malvone Aniello MuranoThis volume LNCS 14282 constitutes the refereed proceedings of the 20th European Conference EUMAS 2023, held in Naples, Italy, during September 2023.This volume includes 24 full papers and 5 short papers, carefully selected from 47 submissions. Additionally, the volume features 16 short papers, rigorously reviewed from 20 submissions for the PhD day. The conference focused on the theory and practice of autonomous agents and multi-agent systems, covering a wide range of topics.
Multi-Agent Systems: 18th European Conference, EUMAS 2021, Virtual Event, June 28–29, 2021, Revised Selected Papers (Lecture Notes in Computer Science #12802)
by Ariel Rosenfeld Nimrod TalmonThis book constitutes the revised post-conference proceedings of the 18th European Conference on Multi-Agent Systems, EUMAS 2021. The conference was held online in June, 2021. 16 full papers are presented in this volume, each of which carefully reviewed and selected from a total of 51 submissions. The papers report on both early and mature research and cover a wide range of topics in the field of multi-agent systems.
Multi-Agent Systems: 16th European Conference, EUMAS 2018, Bergen, Norway, December 6–7, 2018, Revised Selected Papers (Lecture Notes in Computer Science #11450)
by Marija SlavkovikThis book constitutes the revised post-conference proceedings of the 16th European Conference on Multi-Agent Systems, EUMAS 2018, held at Bergen, Norway, in December 2018.The 18 full papers presented in this volume were carefully reviewed and selected from a total of 34 submissions. The papers report on both early and mature research and cover a wide range of topics in the field of multi-agent systems.
Multi-Agent Systems and Agreement Technologies: 17th European Conference, EUMAS 2020, and 7th International Conference, AT 2020, Thessaloniki, Greece, September 14-15, 2020, Revised Selected Papers (Lecture Notes in Computer Science #12520)
by Nick Bassiliades Georgios Chalkiadakis Dave De JongeThis book constitutes the revised post-conference proceedings of the 17th European Conference on Multi-Agent Systems, EUMAS 2020, and the 7th International Conference on Agreement Technologies, AT 2020, which were originally planned to be held as a joint event in Thessaloniki, Greece, in April 2020. Due to COVID-19 pandemic the conference was postponed to September 2020 and finally became a fully virtual conference. The 38 full papers presented in this volume were carefully reviewed and selected from a total of 53 submissions. The papers report on both early and mature research and cover a wide range of topics in the field of autonomous agents and multi-agent systems.
Multi-Agent Systems and Agreement Technologies
by Natalia Criado Pacheco Carlos Carrascosa Nardine Osman Vicente Julián IngladaThis book constitutes the revised selected papers from the 14th European Conference on Multi-Agent Systems, EUMAS 2016, and the Fourth International Conference on Agreement Technologies, AT 2016, held in Valencia, Spain, in December 2016. The 43 papers and 2 invited papers presented in this volume were carefully reviewed and selected from 68 submissions. The papers cover thematic areas as agent and multi-agent system models, algorithms, applications, simulations, theoretical studies, and for AT the thematic areas are: algorithms
Multi-Agent Systems and Agreement Technologies
by Michael Rovatsos George Vouros Vicente JulianThis book constitutes the revised selected papers from the 13 European Conference on Multi-Agent Systems, EUMAS 2015, and the Third International Conference on Agreement Technologies, AT 2015, held in Athens, Greece, in December 2015. The 36 papers presented in this volume were carefully reviewed and selected from 65 submissions. They are organized in topical sections named: coordination and planning; learning and optimization, argumentation and negotiation; norms, trust, and reputation; agent-based simulation and agent programming.
Multi-aspect Learning: Methods and Applications (Intelligent Systems Reference Library #242)
by Richi Nayak Khanh LuongThis book offers a detailed and comprehensive analysis of multi-aspect data learning, focusing especially on representation learning approaches for unsupervised machine learning. It covers state-of-the-art representation learning techniques for clustering and their applications in various domains. This is the first book to systematically review multi-aspect data learning, incorporating a range of concepts and applications. Additionally, it is the first to comprehensively investigate manifold learning for dimensionality reduction in multi-view data learning. The book presents the latest advances in matrix factorization, subspace clustering, spectral clustering and deep learning methods, with a particular emphasis on the challenges and characteristics of multi-aspect data. Each chapter includes a thorough discussion of state-of-the-art of multi-aspect data learning methods and important research gaps. The book provides readers with the necessary foundational knowledge to apply these methods to new domains and applications, as well as inspire new research in this emerging field.
Multi-body Dynamic Modeling of Multi-legged Robots (Cognitive Intelligence and Robotics)
by Dilip Kumar Pratihar Abhijit Mahapatra Shibendu Shekhar RoyThis book describes the development of an integrated approach for generating the path and gait of realistic hexapod robotic systems. It discusses in detail locomation with straight-ahead, crab and turning motion capabilities in varying terrains, like sloping surfaces, staircases, and various user-defined rough terrains. It also presents computer simulations and validation using Virtual Prototyping (VP) tools and real-world experiments. The book also explores improving solutions by applying the developed nonlinear, constrained inverse dynamics model of the system formulated as a coupled dynamical problem based on the Newton–Euler (NE) approach and taking into account realistic environmental conditions. The approach is developed on the basis of rigid multi-body modelling and the concept that there is no change in the configuration of the system in the short time span of collisions.
Multi-Carrier Communication Systems with Examples in MATLAB: A New Perspective
by Emad HassanDetailing the advantages and limitations of multi-carrier communication, this book proposes possible solutions for these limitations. Multi-Carrier Communication Systems with Examples in MATLAB: A New Perspective addresses the two primary drawbacks of orthogonal frequency division multiplexing (OFDM) communication systems: the high sensitivity to c
Multi-Channel Retailing: Prinzip, Konzepte und Erfolgsfaktoren (essentials)
by Sebastian RittingerGetrieben durch das rasante Wachstum des Einzelhandels über das Internet (E-Commerce), hat sich das Multi-Channel Retailing fest im Handel etabliert. Unter Multi-Channel Retailing versteht man ein spezifisches Distributionskonzept von Handelsunternehmen, das sich durch den parallelen Einsatz von mehreren Vertriebskanälen auszeichnet. Sebastian Rittinger beschreibt in kompakter Form die zentralen Begriffe und grundlegenden Erscheinungsformen des Multi-Channel Retailing. Aufbauend auf einer Diskussion zentraler Erkenntnisse der Konsumentenverhaltensforschung im Multi-Channel-Kontext werden mit dem Cross-Channel Management sowie dem Retail Branding anschließend die beiden zentralen Erfolgsfaktoren für Multi-Channel Retailer der Zukunft vorgestellt.
Multi-Cloud Architecture and Governance: Leverage Azure, AWS, GCP, and VMware vSphere to build effective multi-cloud solutions
by Jeroen MulderA comprehensive guide to architecting, managing, implementing, and controlling multi-cloud environmentsKey FeaturesDeliver robust multi-cloud environments and improve your business productivityStay in control of the cost, governance, development, security, and continuous improvement of your multi-cloud solutionIntegrate different solutions, principles, and practices into one multi-cloud foundationBook DescriptionMulti-cloud has emerged as one of the top cloud computing trends, with businesses wanting to reduce their reliance on only one vendor. But when organizations shift to multiple cloud services without a clear strategy, they may face certain difficulties, in terms of how to stay in control, how to keep all the different components secure, and how to execute the cross-cloud development of applications. This book combines best practices from different cloud adoption frameworks to help you find solutions to these problems.With step-by-step explanations of essential concepts and practical examples, you'll begin by planning the foundation, creating the architecture, designing the governance model, and implementing tools, processes, and technologies to manage multi-cloud environments. You'll then discover how to design workload environments using different cloud propositions, understand how to optimize the use of these cloud technologies, and automate and monitor the environments. As you advance, you'll delve into multi-cloud governance, defining clear demarcation models and management processes. Finally, you'll learn about managing identities in multi-cloud: who's doing what, why, when, and whereBy the end of this book, you'll be able to create, implement, and manage multi-cloud architectures with confidenceWhat you will learnGet to grips with the core functions of multiple cloud platformsDeploy, automate, and secure different cloud solutionsDesign network strategy and get to grips with identity and access management for multi-cloudDesign a landing zone spanning multiple cloud platformsUse automation, monitoring, and management tools for multi-cloudUnderstand multi-cloud management with the principles of BaseOps, FinOps, SecOps, and DevOpsDefine multi-cloud security policies and use cloud security toolsTest, integrate, deploy, and release using multi-cloud CI/CD pipelinesWho this book is forThis book is for architects and lead engineers involved in architecting multi-cloud environments, with a focus on getting governance right to stay in control of developments in multi-cloud. Basic knowledge of different cloud platforms (Azure, AWS, GCP, VMWare, and OpenStack) and understanding of IT governance is necessary.
Multi-Cloud for Architects: Grow your IT business by means of a multi-cloud strategy
by Florian Klaffenbach Markus Klein Suresh SundaresanYour one-stop guide to work with multiple cloud service providers Key Features A practical step-by-step guide that will teach you to architect effective Cloud computing solutions and services efficiently You will learn the key differences in both platforms and how you can interconnect them to each other Eliminate the pain-points of architecting, interconnect and managing multi-cloud services and solutions. Book Description With the passing of time and with technology evolving, organizations all around the globe, from small- to medium-sized enterprises through to companies that are fully equipped, have started migrating or adapting to cloud computing. If you are looking at adapting entirely to any cloud and its services, this book will be your go-to guide to find perfect solutions, irrespective of the size of your infrastructure. This book will teach you effective solutions for overcoming various implementation scenarios. Our book covers two major cloud platforms (AWS and Azure) and provides practical use cases. You will start by designing the building blocks for infrastructure solutions that will involve core cloud platform services, such as compute, networking, storage, and identity, through various cloud providers. You will be able to plan and design solutions across major cloud providers and streamline interconnections and identities. Finally, you will understand the differences between, and the behavior of, both platforms, and you will be able to plan interconnects and identities for single-instance management. By the end of this book, you will know everything you need in order to be able to architect a multi-cloud solution for your organization. What you will learn Get to grips with different cloud offerings according to service and availability model Choose your cloud model, depending on real-world requirements Become familiar with interconnecting and designing multi-cloud solutions according to network, identity, and application Interconnect major cloud providers and frameworks, such as Microsoft Azure/Azure Stack, and AWS, and manage hosting solutions Resolve key show stoppers in a multi-cloud environment Familiarize yourself with example architectures based on real-world projects and solutions Who this book is for If you are a Cloud Architect, Solutions architect, system/network administrator, or a DevOps engineers aware of Cloud solutions and keen to successfully architect them to your organization then, this book is for you.