Smart Modeling and Simulation for Complex Systems

Smart Modeling and Simulation for Complex Systems
Author: Quan Bai,Fenghui Ren,Minjie Zhang,Takayuki Ito,Xijin Tang
Publsiher: Springer
Total Pages: 149
Release: 2015-01-10
Genre: Technology & Engineering
ISBN: 9784431552093

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This book aims to provide a description of these new Artificial Intelligence technologies and approaches to the modeling and simulation of complex systems, as well as an overview of the latest scientific efforts in this field such as the platforms and/or the software tools for smart modeling and simulating complex systems. These tasks are difficult to accomplish using traditional computational approaches due to the complex relationships of components and distributed features of resources, as well as the dynamic work environments. In order to effectively model the complex systems, intelligent technologies such as multi-agent systems and smart grids are employed to model and simulate the complex systems in the areas of ecosystem, social and economic organization, web-based grid service, transportation systems, power systems and evacuation systems.

Methods and Applications for Modeling and Simulation of Complex Systems

Methods and Applications for Modeling and Simulation of Complex Systems
Author: Liang Li,Kyoko Hasegawa,Satoshi Tanaka
Publsiher: Springer
Total Pages: 586
Release: 2018-10-17
Genre: Computers
ISBN: 9789811328534

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This volume constitutes the proceedings of the 18th Asia Simulation Conference, AsiaSim 2018, held in Kyoto, Japan, in August 2018. The 45 revised full papers presented in this volume were carefully reviewed and selected from 90 submissions. The papers are organized in topical sections on modeling and simulation technology; soft computing and machine learning; high performance computing and cloud computing; simulation technology for industry; simulation technology for intelligent society; simulation of instrumentation and control application; computational mathematics and computational science; flow simulation; visualization and computer vision to support simulation.

Introduction to Intelligent Simulation The RAO Language

Introduction to Intelligent Simulation  The RAO Language
Author: Abdelhakim Artiba,V.V. Emelyanov,S.I. Iassinovski
Publsiher: Springer Science & Business Media
Total Pages: 518
Release: 2012-12-06
Genre: Business & Economics
ISBN: 9781461557098

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Introduction to Intelligent Simulation of Complex Discrete Systems and Processes: RAO Language focuses on a unique approach in modeling and simulation of complex systems. In this volume are considered features of complex systems and processes, their mathematical description, and modeling. Theoretical foundations of the RAO (Resource-Action-Operation) language as well as its syntax and utilisation are given. Examples of simulation models of different complexity levels, related to different fields, are also presented. The RAO intelligent modeling system, introduced and described in Introduction to Intelligent Simulation of Complex Discrete Systems and Processes is unique because: (1) it makes simulation modeling universal for the classes of systems and processes modeled; (2) it is simple to modify the models; and (3) it has the capacity to model complex control systems together with the object controlled (including simulation modeling for on-line control). The RAO tool allows the user to use a language very similar to his professional language and rids him of intermediary, supplementary description of the system modeled. In fifteen chapters this volume provides an overview of general modeling trends, and hence serves the research community in guiding their modeling methods; intelligent simulation modeling is introduced to solve complex systems and processes.

Theory Methodology Tools and Applications for Modeling and Simulation of Complex Systems

Theory  Methodology  Tools and Applications for Modeling and Simulation of Complex Systems
Author: Lin Zhang,Xiao Song,Yunjie Wu
Publsiher: Springer
Total Pages: 739
Release: 2016-09-22
Genre: Computers
ISBN: 9789811026638

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This four-volume set (CCIS 643, 644, 645, 646) constitutes the refereed proceedings of the 16th Asia Simulation Conference and the First Autumn Simulation Multi-Conference, AsiaSim / SCS AutumnSim 2016, held in Beijing, China, in October 2016. The 265 revised full papers presented were carefully reviewed and selected from 651 submissions. The papers in this first volume of the set are organized in topical sections on modeling and simulation theory and methodology; model engineering for system of systems; high performance computing and simulation; modeling and simulation for smart city.

Methods and Applications for Modeling and Simulation of Complex Systems

Methods and Applications for Modeling and Simulation of Complex Systems
Author: Byeong-Yun Chang,Changbeom Choi
Publsiher: Springer Nature
Total Pages: 109
Release: 2022-10-05
Genre: Computers
ISBN: 9789811968570

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This volume constitutes the proceedings of the 20th Asian Simulation Conference, AsiaSim 2021, held as a virtual event in November 2021. The 9 full papers presented in this volume were carefully reviewed and selected from 23 submissions. The papers are organized in topical sections on simulation and visualization; modeling and simulation of systems.

Methods and Applications for Modeling and Simulation of Complex Systems

Methods and Applications for Modeling and Simulation of Complex Systems
Author: Fazilah Hassan,Noorhazirah Sunar,Mohd Ariffanan Mohd Basri,Mohd Saiful Azimi Mahmud,Mohamad Hafis Izran Ishak,Mohamed Sultan Mohamed Ali
Publsiher: Springer Nature
Total Pages: 518
Release: 2023-11-13
Genre: Computers
ISBN: 9789819972401

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This book constitutes the refereed proceedings of the 22nd Asia Simulation Conference on Methods and Applications for Modeling and Simulation of Complex Systems, AsiaSim 2023, held in Langkawi, Malaysia, during October 25–26, 2023. The 77 full papers included in this book were carefully reviewed and selected from 164 submissions. They were organized in topical sections as follows: Modelling and Simulation, Artificial intelligence, Industry 4.0, Digital Twins Modelling, Simulation and Gaming, Simulation for Engineering, Simulation for Sustainable Development, Simulation in Social Sciences.

Modelling and Simulation of Electrical Energy Systems Through a Complex Systems Approach Using Agent Based Models

Modelling and Simulation of Electrical Energy Systems Through a Complex Systems Approach Using Agent Based Models
Author: Enrique Alberto Kremers
Publsiher: KIT Scientific Publishing
Total Pages: 202
Release: 2014-07-31
Genre: Technology & Engineering
ISBN: 9783866449466

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Complexity science aims to better understand the processes of both natural and man-made systems which are composed of many interacting entities at different scales. A disaggregated approach is proposed for simulating electricity systems, by using agent-based models coupled to continuous ones. The approach can help in acquiring a better understanding of the operation of the system itself, e.g. on emergent phenomena or scale effects; as well as in the improvement and design of future smart grids.

Research Challenges in Modeling and Simulation for Engineering Complex Systems

Research Challenges in Modeling and Simulation for Engineering Complex Systems
Author: Richard Fujimoto,Conrad Bock,Wei Chen,Ernest Page,Jitesh H. Panchal
Publsiher: Springer
Total Pages: 119
Release: 2017-08-18
Genre: Computers
ISBN: 9783319585444

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This illuminating text/reference presents a review of the key aspects of the modeling and simulation (M&S) life cycle, and examines the challenges of M&S in different application areas. The authoritative work offers valuable perspectives on the future of research in M&S, and its role in engineering complex systems. Topics and features: reviews the challenges of M&S for urban infrastructure, healthcare delivery, automated vehicle manufacturing, deep space missions, and acquisitions enterprise; outlines research issues relating to conceptual modeling, covering the development of explicit and unambiguous models, communication and decision-making, and architecture and services; considers key computational challenges in the execution of simulation models, in order to best exploit emerging computing platforms and technologies; examines efforts to understand and manage uncertainty inherent in M&S processes, and how these can be unified under a consistent theoretical and philosophical foundation; discusses the reuse of models and simulations to accelerate the simulation model development process. This thought-provoking volume offers important insights for all researchers involved in modeling and simulation across the full spectrum of disciplines and applications, defining a common research agenda to support the entire M&S research community.