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Multi Agent Systems Modeling Control Programming Simulations And Applications


Multi Agent Systems Modeling Control Programming Simulations And Applications
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Multi Agent Systems Modeling Control Programming Simulations And Applications


Multi Agent Systems Modeling Control Programming Simulations And Applications
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Author : Nicolas Radley
language : en
Publisher:
Release Date : 2016-04-01

Multi Agent Systems Modeling Control Programming Simulations And Applications written by Nicolas Radley and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-01 with categories.


Multiagent systems consist of multiple autonomous entities having different information and/or diverging interests. The study of multiagent systems (MAS) focuses on systems in which many intelligent agents interact with each other. The agents are considered to be autonomous entities, such as software programs or robots. Their interactions can be either cooperative or selfish. That is, the agents can share a common goal (e.g. an ant colony), or they can pursue their own interests. Multi-agent systems can be used to solve problems that are difficult or impossible for an individual agent or a monolithic system to solve. Intelligence may include some methodic, functional, procedural approach, algorithmic search or reinforcement learning. Although there is considerable overlap, a multi-agent system is not always the same as an agent-based model (ABM). The goal of an ABM is to search for explanatory insight into the collective behavior of obeying simple rules, typically in natural systems, rather than in solving specific practical or engineering problems. Topics where multi-agent systems research may deliver an appropriate approach include online trading, disaster response, and modelling social structures. Multi-agent systems consist of agents and their environment. Typically multi-agent systems research refers to software agents. However, the agents in a multi-agent system could equally well be robots, humans or human teams. A multi-agent system may contain combined humanagent teams. Agent systems are open and extensible systems that allow for the deployment of autonomous and proactive software components. Multi-agent systems have been brought up and used in several application domains. This book, Multi-Agent Systems - Modeling, Control, Programming, Simulations and Applications, is intended to provide an emphasise on the multi-agent technology, products and industrial applications.



Multi Agent Systems


Multi Agent Systems
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Author : Faisal Alkhateeb
language : en
Publisher:
Release Date : 2011

Multi Agent Systems written by Faisal Alkhateeb and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with categories.




Multi Agent Systems


Multi Agent Systems
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Author : Faisal Alkhateeb
language : en
Publisher:
Release Date : 2011

Multi Agent Systems written by Faisal Alkhateeb and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with categories.




Multi Agent Systems


Multi Agent Systems
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Author : Adelinde M. Uhrmacher
language : en
Publisher: CRC Press
Release Date : 2018-10-08

Multi Agent Systems written by Adelinde M. Uhrmacher and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-08 with Computers categories.


Methodological Guidelines for Modeling and Developing MAS-Based Simulations The 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 For Traffic And Transportation Engineering


Multi Agent Systems For Traffic And Transportation Engineering
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Author : Bazzan, Ana
language : en
Publisher: IGI Global
Release Date : 2009-04-30

Multi Agent Systems For Traffic And Transportation Engineering written by Bazzan, Ana and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-04-30 with Computers categories.


"This book aims at giving a complete panorama of the active and promising crossing area between traffic engineering and multi-agent system addressing both current status and challenging new ideas"--Provided by publisher.



Innovations In Multi Agent Systems And Application 1


Innovations In Multi Agent Systems And Application 1
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Author : Dipti Srinivasan
language : en
Publisher: Springer
Release Date : 2010-07-17

Innovations In Multi Agent Systems And Application 1 written by Dipti Srinivasan and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-07-17 with Technology & Engineering categories.


In today’s world, the increasing requirement for emulating the behavior of real-world applications for achieving effective management and control has necessitated the usage of advanced computational techniques. Computational intelligence-based techniques that combine a variety of problem solvers are becoming increasingly pervasive. The ability of these methods to adapt to the dynamically changing environment and learn in an online manner has increased their usefulness in simulating intelligent behaviors as observed in humans. These intelligent systems are able to handle the stochastic and uncertain nature of the real-world problems. Application domains requiring interaction of people or organizations with different, even possibly conflicting goals and proprietary information handling are growing exponentially. To efficiently handle these types of complex interactions, distributed problem solving systems like multiagent systems have become a necessity. The rapid advancements in network communication technologies have provided the platform for successful implementation of such intelligent agent-based problem solvers. An agent can be viewed as a self-contained, concurrently executing thread of control that encapsulates some state and communicates with its environment, and possibly other agents via message passing. Agent-based systems offer advantages when independently developed components must interoperate in a heterogenous environment. Such agent-based systems are increasingly being applied in a wide range of areas including telecommunications, Business process modeling, computer games, distributed system control and robot systems.



X Machines For Agent Based Modeling


X Machines For Agent Based Modeling
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Author : Mariam Kiran
language : en
Publisher: CRC Press
Release Date : 2017-08-30

X Machines For Agent Based Modeling written by Mariam Kiran and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-30 with Computers categories.


From the Foreword: "This book exemplifies one of the most successful approaches to modeling and simulating [the] new generation of complex systems. FLAME was designed to make the building of large scale complex systems models straightforward and the simulation code that it generates is highly efficient and can be run on any modern technology. FLAME was the first such platform that ran efficiently on high performance parallel computers and a version for GPU technology is also available. At its heart, and the reason why it is so efficient and robust, is the use of a powerful computational model ‘Communicating X-machines’ which is general enough to cope with most types of modelling problems. As well as being increasingly important in academic research, FLAME is now being applied in industry in many different application areas. This book describes the basics of FLAME and is illustrated with numerous examples." —Professor Mike Holcombe, University of Sheffield, UK Agent-based models have shown applications in various fields such as biology, economics, and social science. Over the years, multiple agent-based modeling frameworks have been produced, allowing experts with non-computing background to easily write and simulate their models. However, most of these models are limited by the capability of the framework, the time it takes for a simulation to finish, or how to handle the massive amounts of data produced. FLAME (Flexible Large-scale Agent-based Modeling Environment) was produced and developed through the years to address these issues. This book contains a comprehensive summary of the field, covers the basics of FLAME, and shows how concepts of X-machines, can be stretched across multiple fields to produce agent models. It has been written with several audiences in mind. First, it is organized as a collection of models, with detailed descriptions of how models can be designed, especially for beginners. A number of theoretical aspects of software engineering and how they relate to agent-based models are discussed for students interested in software engineering and parallel computing. Finally, it is intended as a guide to developers from biology, economics, and social science, who want to explore how to write agent-based models for their research area. By working through the model examples provided, anyone should be able to design and build agent-based models and deploy them. With FLAME, they can easily increase the agent number and run models on parallel computers, in order to save on simulation complexity and waiting time for results. Because the field is so large and active, the book does not aim to cover all aspects of agent-based modeling and its research challenges. The models are presented to show researchers how they can build complex agent functions for their models. The book demonstrates the advantage of using agent-based models in simulation experiments, providing a case to move away from differential equations and build more reliable, close to real, models. The Open Access version of this book, available at https://doi.org/10.1201/9781315370729, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license.



Multi Agent And Multi Agent Based Simulation


Multi Agent And Multi Agent Based Simulation
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Author :
language : en
Publisher:
Release Date : 2004

Multi Agent And Multi Agent Based Simulation written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Computer simulation categories.




Review Of Modern Engineering Solutions For The Industry


Review Of Modern Engineering Solutions For The Industry
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Author : Zhen Yu Du
language : en
Publisher: Trans Tech Publications Ltd
Release Date : 2012-10-26

Review Of Modern Engineering Solutions For The Industry written by Zhen Yu Du and has been published by Trans Tech Publications Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-10-26 with Technology & Engineering categories.


Selected, peer reviewed papers from the 2012 International Conference on Mechatronic Systems and Automation Systems (MSAS 2012), July 21, 2012, Wuhan, China



Software Engineering For Multi Agent Systems


Software Engineering For Multi Agent Systems
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Author :
language : en
Publisher:
Release Date : 2004

Software Engineering For Multi Agent Systems written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Intelligent agents (Computer software) categories.