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Simulated Evolution and Learning
by Ying Tan Xiaodong Li Ke Tang Kay Chen Tan Yaochu Jin Yuhui Shi Qingfu Zhang Mengjie Zhang Martin MiddendorfInspired by the Darwinian framework of evolution through natural selection and adaptation, the field of evolutionary computation has been growing very rapidly, and is today involved in many diverse application areas. This book covers the latest advances in the theories, algorithms, and applications of simulated evolution and learning techniques. It provides insights into different evolutionary computation techniques and their applications in domains such as scheduling, control and power, robotics, signal processing, and bioinformatics. The book will be of significant value to all postgraduates, research scientists and practitioners dealing with evolutionary computation or complex real-world problems. This book has been selected for coverage in: • Index to Scientific & Technical Proceedings (ISTP CDROM version / ISI Proceedings)• CC Proceedings — Engineering & Physical SciencesContents: "Evolutionary Theory: "Using Evolution to Learn User Preferences "(S Ujjin & P J Bentley)"Evolutionary Learning Strategies for Artificial Life Characters "(M L Netto et al. )"The Influence of Stochastic Quality Functions on Evolutionary Search "(B Sendhoff et al. )"A Real-Coded Cellular Genetic Algorithm Inspired by Predator–Prey Interactions "(X Li & S Sutherland)"Automatic Modularization with Speciated Neural Network Ensemble "(V R Khare & X Yao)""Evolutionary Applications: "Image Classification using Particle Swarm Optimization "(M G Omran et al. )"Evolution of Fuzzy Rule Based Controllers for Dynamic Environments "(J Riley & V Ciesielski)"A Genetic Algorithm for Joint Optimization of Spare Capacity and Delay in Self-Healing Network "(S Kwong & H W Chong)"Joint Attention in the Mimetic Context — What is a “Mimetic Same”? "(T Shiose et al. )"Time Series Forecast with Elman Neural Networks and Genetic Algorithms "(L X Xu et al. )"and other articlesReadership: Upper level undergraduates, graduate students, academics, researchers and industrialists in artificial intelligence, evolutionary computation, fuzzy logic and neural networks.
Simulating Conversations for the Prediction of Speech Quality (T-Labs Series in Telecommunication Services)
by Thilo MichaelThis book discusses the simulation of conversations through a novel approach of predicting speech quality based on the interactions of two simulated interlocutors. The author describes the setup of a simulation environment that is capable of simulating human dialogue on the speech level. The impact of delay and bursty packet loss on VoIP conversations is investigated and modeled for the use in the simulation. Based on parameters extracted from simulated conversations, the author proposes extensions to the E-model, a parametric model standardized by the International Telecommunications Union, in order to predict the quality of the simulated conversations. The author shows that predictions based on the simulated conversations outperform models that rely on the transmission parameters alone.
Simulating Good and Evil: The Morality and Politics of Videogames
by Marcus SchulzkeSimulating Good and Evil shows that the moral panic surrounding violent videogames is deeply misguided, and often politically motivated, but that games are nevertheless morally important. Simulated actions are morally defensible because they take place outside the real world and do not inflict real harms. Decades of research purporting to show that videogames are immoral has failed to produce convincing evidence of this. However, games are morally important because they simulate decisions that would have moral weight if they were set in the real world. Videogames should be seen as spaces in which players may experiment with moral reasoning strategies without taking any actions that would themselves be subject to moral evaluation. Some videogame content may be upsetting or offensive, but mere offense does not necessarily indicate a moral problem. Upsetting content is best understood by applying existing theories for evaluating political ideologies and offensive speech.
Simulating Heterogeneous Crowds with Interactive Behaviors
by Nuria Pelechano, Jan M. Allbeck, Mubbasir Kapadia and Norman I. BadlerThis book provides a deep understanding of state-of-art methods for simulation of heterogeneous crowds in computer graphics. It will cover different aspects that are necessary to achieve plausible crowd behaviors. The book will be a review of the most recent literature in this field that can help professionals and graduate students interested in this field to get up to date with the latest contributions, and open problems for their possible future research. The chapter contributors are well known researchers and practitioners in the field and they include their latest contributions in the different topics required to achieve believable heterogeneous crowd simulation. Provides crowd simulation methodology to populate virtual environments, for video games or any kind of applications that requires believable multi-agent behavior Presents the latest contributions on crowd simulation, animation, planning, rendering and evaluation with detailed algorithms for implementation purposes Includes perspectives of both academic researchers and industrial practitioners with reference to open source solutions and commercial applications, where appropriate
Simulating Interacting Agents and Social Phenomena
by Claudio Cioffi-Revilla Guillaume Deffuant Keiki TakadamaAgent-based modeling and social simulation have emerged as an interdisciplinary area of social science that includes computational economics, organizational science, social dynamics, and complex systems. This area contributes to enriching our understanding of the fundamental processes of social phenomena caused by complex interactions among agents. Bringing together diverse approaches to social simulation and research agendas, this book presents a unique collection of contributions from the Second World Congress on Social Simulation, held in 2008 at George Mason University in Washington DC, USA. This book in particular includes articles on norms, diffusion, social networks, economy, markets and organizations, computational modeling, and programming environments, providing new hypotheses and theories, new simulation experiments compared with various data sets, and new methods for model design and development. These works emerged from a global and interdisciplinary scientific community of the three regional scientific associations for social simulation: the North American Association for Computational Social and Organizational Science (NAACSOS; now the Computational Social Science Society, CSSS), the European Social Simulation Association (ESSA), and the Pacific Asian Association for Agent-bBased Approach in Social Systems Sciences (PAAA).
Simulating Knowledge Dynamics in Innovation Networks
by Nigel Gilbert Andreas Pyka Petra AhrweilerThe competitiveness of firms, regions and countries greatly depends on the generation, dissemination and application of new knowledge. Modern innovation research is challenged by the need to incorporate knowledge generation and dissemination processes into the analysis so as to disentangle the complexity of these dynamic processes. With innovation, however, strong uncertainty, nonlinearities and actor heterogeneity become central factors that are at odds with traditional modeling techniques anchored in equilibrium and homogeneity. This text introduces SKIN (Simulation Knowledge Dynamics in Innovation Networks), an agent-based simulation model that primarily focuses on joint knowledge creation and exchange of knowledge in innovation cooperations and networks. In this context, knowledge is explicitly modeled and not approximated by, for instance, the level of accumulated R&D investment. The SKIN approach supports applications in different domains ranging from sector-based research activities in knowledge-intensive industries to the activities of international research consortia engaged in basic and applied research. Following a general description of the SKIN model, several applications and modifications are presented. Each chapter introduces in detail the structure of the model, the relevant methodological considerations and the analysis of simulation results, while options for empirically validating the models' structure and outcomes are also discussed. The book considers the scope of further applications and outlines prospects for the development of joint modeling strategies.
Simulating Nonlinear Circuits with Python Power Electronics: An Open-Source Simulator, Based on Python™
by Shivkumar V. IyerThis book provides readers with an in-depth discussion of circuit simulation, combining basic electrical engineering circuit theory with Python programming. It fills an information gap by describing the development of Python Power Electronics, an open-source software for simulating circuits, and demonstrating its use in a sample circuit. Unlike typical books on circuit theory that describe how circuits can be solved mathematically, followed by examples of simulating circuits using specific, commercial software, this book has a different approach and focus. The author begins by describing every aspect of the open-source software, in the context of non-linear power electronic circuits, as a foundation for aspiring or practicing engineers to embark on further development of open source software for different purposes. By demonstrating explicitly the operation of the software through algorithms, this book brings together the fields of electrical engineering and software technology.
Simulating Science: Computer Simulations as Scientific Instruments (Synthese Library #479)
by Ramón AlvaradoThis book provides a philosophical framework to understand computer simulations as scientific instruments. This is in sharp contrast to existing philosophical approaches on the subject, which have historically understood computer simulations as either formal abstractions or as broadly construed empirical practices. In order to make its case, the volume contains a thorough examination of conventional philosophical approaches as well as their respective limitations. Yet, also, unlike other accounts of computer simulations from the perspective of the philosophy of science, this book incorporates insights from the philosophy of technology and the history of science. Hence, the book offers philosophers of science, technologists and other researchers interested in the topic, a thorough overview of the philosophical issues regarding the design, development and deployment of computer simulations in science and science-based policy making.
Simulating Social Complexity
by Bruce Edmonds Ruth MeyerSocial systems are among the most complex known. This poses particular problems for those who wish to understand them. The complexity often makes analytic approaches infeasible and natural language approaches inadequate for relating intricate cause and effect. However, individual- and agent-based computational approaches hold out the possibility of new and deeper understanding of such systems. Simulating Social Complexity examines all aspects of using agent- or individual-based simulation. This approach represents systems as individual elements having each their own set of differing states and internal processes. The interactions between elements in the simulation represent interactions in the target systems. What makes these elements "social" is that they are usefully interpretable as interacting elements of an observed society. In this, the focus is on human society, but can be extended to include social animals or artificial agents where such work enhances our understanding of human society. The phenomena of interest then result (emerge) from the dynamics of the interaction of social actors in an essential way and are usually not easily simplifiable by, for example, considering only representative actors. The introduction of accessible agent-based modelling allows the representation of social complexity in a more natural and direct manner than previous techniques. In particular, it is no longer necessary to distort a model with the introduction of overly strong assumptions simply in order to obtain analytic tractability. This makes agent-based modelling relatively accessible to a range of scientists. The outcomes of such models can be displayed and animated in ways that also make them more interpretable by experts and stakeholders. This handbook is intended to help in the process of maturation of this new field. It brings together, through the collaborative effort of many leading researchers, summaries of the best thinking and practice in this area and constitutes a reference point for standards against which future methodological advances are judged. This book will help those entering into the field to avoid "reinventing the wheel" each time, but it will also help those already in the field by providing accessible overviews of current thought. The material is divided into four sections: Introductory, Methodology, Mechanisms, and Applications. Each chapter starts with a very brief section called 'Why read this chapter?' followed by an abstract, which summarizes the content of the chapter. Each chapter also ends with a section of 'Further Reading' briefly describing three to eight items that a newcomer might read next.
Simulating Transitions to Agriculture in Prehistory (Computational Social Sciences)
by Salvador Pardo-Gordó Sean BerginThis book highlights new and innovative approaches to archaeological research using computational modeling while focusing on the Neolithic transition around the world.The transformative effect of the spread and adoption of agriculture in prehistory cannot be overstated. Consequently, archaeologists have often focused their research on this transition, hoping to understand both the ecological causes and impacts of this shift, as well as the social motivations and constraints involved. Given the complex interplay of socio-ecological factors, the answers to these types of questions cannot be found using traditional archaeological methods alone. Computational modeling techniques have emerged as an effective approach for better understanding prehistoric data sets and the linkages between social and ecological factors at play during periods of subsistence change. Such techniques include agent-based modeling, Bayesian modeling, GIS modeling of the prehistoric environment, and the modeling of small-scale agriculture. As more archaeological data sets aggregate regarding the transition to agriculture, researchers are often left with few ways to relate these sets to one another.Computational modeling techniques such as those described above represent a critical next step in providing archaeological analyses that are important for understanding human prehistory around the world. Given its scope, this book will appeal to the many interdisciplinary scientists and researchers whose work involves archaeology and computational social science.
Simulating Urban Traffic Scenarios: 3rd SUMO Conference 2015 Berlin, Germany (Lecture Notes in Mobility)
by Michael Behrisch Melanie WeberThis contributed volume contains the conference proceedings of the Simulation of Urban Mobility (SUMO) conference 2015, Berlin. The included papers cover a wide range of topics in traffic planning and simulation, including intermodal simulation, intermodal transport, vehicular communication, modeling urban mobility, open data as well as autonomous driving. The target audience primarily comprises researchers and experts in the field of mobility research, but the book may also be beneficial for graduate students.
Simulating the Brain: A Four-Step Method Using Ordinary Differential Equations and Python (Brain Informatics and Health)
by Daniele Caligiore Samuele CarliThis book presents a new methodology to develop system-level brain models using ordinary differential equations (ODE), which are to be solved and analyzed through simple Python scripts. Computer simulations of this kind of models allow the study of healthy and damaged brain functions, the discovery of new neural pathways that may be crucial for the emergence of pathologies, and to simulate the effects of possible new therapies acting on brain actors which are difficult to investigate in traditional research.The methodology consists of four steps: (i) design the model architecture which represents the interactions between different brain areas; (ii) write the ODE system which are implied by the model; (iii) build a Python script that correctly solves the equations; (iv) optimize the free model parameters using genetic algorithms or other techniques to obtain one or more model instances that reproduce the target investigated behavior.This book is for all people who want to learn how to use Python and ODE to simulate brain functions regardless of their backgrounds. While rigorous mathematical proofs of many aspects of the arguments discussed are out of the scope of this work and are therefore omitted, the most important concepts necessary for the critical judgment and self-assessment of the practitioner’s work are exposed in a simplified, readily applicable form, with extensive references for the adventurous reader to explore. The book is a self-consistent textbook containing all pieces necessary to learn from scratch: from the essential mathematical and computing tools to the knowledge necessary to design, simulate, visualize, and interpret brain models. These skills are acquired through several hands-on examples explained step-by-step. One important and distinctive aspect of the book is that, beside the theory, it provides the necessary contexts and practical examples which are key to the correct application of the proposed methodology.
Simulating the Mind II: From Artificial Intelligence to Neurology and Psychoanalysis
by Dietmar Dietrich Volker Hartmann CardelleThe declared goal of this book, an extended and revised translation of the German edition (2021), is to show how a unified model of the psyche and body can be developed via insights from psychoanalysis, neurology and computer technology. On the one hand, such a model allows for the testing of psychological and social theories on a scientific basis with the help of simulation experiments. On the other hand, the model developed according to the functional structures of the human brain and psyche provides the basis for artificial intelligence systems. These are systems with cognitive capabilities that can save human lives, save energy, ensure safety at airports, provide support in old-age care and in the medical field; in other words and generally speaking, systems that can simplify our lives in a relevant way and on a broad basis. A great deal of time and money is invested in genetic engineering and neurology, but research into the mental apparatus in the context of the neurological part, i.e., modeling the brain in a holistic way, is sparse in every respect. However, the results of the scientific project SiMA, of which the first author has been a driving force, show that the research of this organ, which in the authors’ understanding includes the mental apparatus, as a whole, is quite feasible today. This is also the main message of the book, which addresses topics such as artificial intelligence, the brain, psychoanalysis, behavioral models, complexity, bionics of the mental, emotions and feelings, consciousness and awareness, preconscious and unconscious, the functional (and not only behavioral) description and modeling of the brain and especially of the mental apparatus, and some more. In the world of technology, there is generally little interest in psychoanalysis, whereas in the world of psychoanalysis, people usually refuse to deal with mathematics and technology, especially computer technology. Is there an information theory of the brain on the one hand, and of computer technology on the other hand? The authors attempt to answer this question from both sides. With the goal to reach as many readers as possible and to provoke, the authors break with traditions and give space to new forms of thinking and argue that it is crucial to take a new path in automation, in artificial intelligence and in (technical) cognitive science, but also in psychoanalysis and neurology, in order to create a common basis for scientific and technical possibilities that have been previously inaccessible.
Simulation Engineering: Build Better Embedded Systems Faster
by Jim LedinBuild complex embedded systems faster and with lower costs by: * Knowing when and how much simulation testing is appropriate * Applying engineering methods to simulation design and development * Using the best tools available to develop simulations. * Va
Simulation Gaming Through Times and Disciplines: 50th International Simulation and Gaming Association Conference, ISAGA 2019, Warsaw, Poland, August 26–30, 2019, Revised Selected Papers (Lecture Notes in Computer Science #11988)
by Hidehiko Kanegae Marcin Wardaszko Sebastiaan Meijer Heide Lukosch Willy Christian Kriz Mariola Grzybowska-BrzezińskaThis book constitutes revised selected papers from the 50th International Simulation and Gaming Association Conference, ISAGA 2019, which took place in Warsaw, Poland, during August 26–30, 2019.The 38 papers presented in this volume were carefully reviewed and selected from 72 submissions. They were organized in topical sections named: simulation gaming in the science space; simulation gaming design and implementation; simulation games for current challenges; simulation games and gamification; and board perspective on simulation gaming.
Simulation Gaming. Applications for Sustainable Cities and Smart Infrastructures: 48th International Simulation And Gaming Association Conference, Isaga 2017, Delft, The Netherlands, July 10-14, 2017, Revised Selected Papers (Theoretical Computer Science and General Issues #10825)
by Heide Karen Lukosch Geertje Bekebrede Rens KortmannThis book constitutes the refereed post-conference proceedings of the 48th International Simulation and Gaming Association Conference, ISAGA 2018, held in Delft, The Netherlands, in July 2018. The 19 revised full papers included in the volume were carefully reviewed and selected from 27 submissions. The contributions to this book range from design thinking related to simulation gaming, the analysis of the consequences of design choices in games, to games for decision making, examples of games for business, climate change, maritime spatial planning, sustainable city development, supply chain, and much more.
Simulation Methods for Reliability and Availability of Complex Systems
by Jose Emmanuel Ramirez-Marquez Sebastián Salvador Martorell Alsina Javier Faulin Angel A. JuanSimulation Methods for Reliability and Availability of Complex Systems discusses the use of computer simulation-based techniques and algorithms to determine reliability and availability (R and A) levels in complex systems. The book: shares theoretical or applied models and decision support systems that make use of simulation to estimate and to improve system R and A levels, forecasts emerging technologies and trends in the use of computer simulation for R and A and proposes hybrid approaches to the development of efficient methodologies designed to solve R and A-related problems in real-life systems. Dealing with practical issues, Simulation Methods for Reliability and Availability of Complex Systems is designed to support managers and system engineers in the improvement of R and A, as well as providing a thorough exploration of the techniques and algorithms available for researchers, and for advanced undergraduate and postgraduate students.
Simulation Modeling Handbook: A Practical Approach
by Christopher A. ChungThe use of simulation modeling and analysis is becoming increasingly more popular as a technique for improving or investigating process performance. This book is a practical, easy-to-follow reference that offers up-to-date information and step-by-step procedures for conducting simulation studies. It provides sample simulation project support materi
Simulation Modelling: Concepts, Tools and Practical Business Applications
by Andrew GreasleyWhile simulation has a vast area of application, this textbook focuses on the use of simulation to analyse business processes. It provides an up-to-date coverage of all stages of the discrete-event simulation (DES) process, covering important areas such as conceptual modelling, modelling input data, verification and validation and simulation output analysis. The book is comprehensive yet uncomplicated, covering the theoretical aspects of the subject and the practical elements of a typical simulation project, demonstrated by cases, examples and exercises. It also shows how simulation relates to new developments in machine learning, big data analytics and conceptual modelling techniques. Guidance is provided on how to build DES models using the Arena, Simio and Simul8 simulation software, and tutorials for using the software are incorporated throughout. Simulation Modelling offers a uniquely practical and end-to-end overview of the subject, which makes it perfect required or recommended reading for advanced undergraduate and postgraduate students studying business simulation and simulation modelling as part of operations research, business analytics, supply chain management and computer science courses.
Simulation Science: First International Workshop, Simscience 2017, Göttingen, Germany, April 27-28, 2017, Revised Selected Papers (Communications In Computer And Information Science #889)
by Stefan Hartmann Anita Schöbel Jens Grabowski Marcus Baum Gunther Brenner Thomas HanschkeThis book constitutes the thoroughly refereed proceedings of the Clausthal-Göttingen International Workshop on Simulation Science, held in Göttingen, Germany, in April 2017. The 16 full papers presented were carefully reviewed and selected from 40 submissions. The papers are organized in topical sections on simulation and optimization in networks, simulation of materials, distributed simulations.
Simulation Science: Second International Workshop, SimScience 2019, Clausthal-Zellerfeld, May 8-10, 2019, Revised Selected Papers (Communications in Computer and Information Science #1199)
by Marcus Baum Nina GunkelmannThis book constitutes the refereed proceedings of the Second International Workshop on Simulation Science, held in Clausthal-Zellerfeld, in May 2019. The 12 full papers were carefully reviewed and selected from 47 submissions. The papers are organized according to the following topics: optimization and distributed simulations; simulation of materials; self-organized and porous structures; simulation of materials: finite element and multiscale methods.
Simulation Techniques of Digital Twin in Real-Time Applications: Design Modeling and Implementation
by Abhishek Kumar Shikha Gupta Abhineet Anand Anita Sardana Srikanta Kumar MohapatraSIMULATION TECHNIQUES OF DIGITAL TWIN IN REAL-TIME APPLICATIONS The book gives a complete overview of implementing digital twin technology in real-time scenarios while emphasizing how this technology can be embedded with running technologies to solve all other issues. Divided into two parts with Part 1 focusing on simulated techniques in digital twin technology and Part 2 on real-time applications of digital twin technology, the book collects a significant number of important research articles from domain-specific experts. The book sheds light on the various techniques of digital twin technology that are implemented in various application areas. It emphasizes error findings and respective solutions before the actual event happens. Most of the features in the book are on the implementation of strategies in real-time applications. Various real-life experiences are taken to show the proper implementation of simulation technologies. The book shows how engineers of any technology can input their research ideas to convert to real scenarios by using replicas. Hence, the book has a collection of research articles from various engineers with expertise in different technologies from many regions of the world. It shows how to implement the embedded real-time data into technologies. Specifically, the chapters relate to the auto landing and cruising features in aerial vehicles, automated coal mining simulation strategy, the enhancement of workshop equipment, and implementation in power energy management for urban railways. This book also describes the coherent mechanism of digital twin technologies with deep neural networks and artificial intelligence. Audience Researchers, engineers, and students in computer science, software engineering and industrial engineering, will find this book to be very useful.
Simulation Technologies in Networking and Communications: Selecting the Best Tool for the Test
by Al-Sakib Khan Pathan Muhammad Mostafa Monowar Shafiullah KhanSimulation is a widely used mechanism for validating the theoretical model of networking or communication systems. Although the claims made based on simulations are considered to be reliable, how reliable they really are is best determined with real-world implementation trials. This book addresses various issues covering different mechanisms related to simulation technologies in networking and communications fields. Focusing on the practice of simulation testing instead of the theory, it reviews and evaluates popular simulation modeling tools and recommends the best tools for specific tests.
Simulation Tools and Techniques: 11th International Conference, SIMUtools 2019, Chengdu, China, July 8–10, 2019, Proceedings (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering #295)
by Houbing Song Dingde JiangThis volume constitutes the refereed post-conference proceedings of the 11th International Conference on Simulation Tools and Techniques, SIMUTools 2019, held in Chengdu, China, in August 2019. The 97 revised full papers were carefully selected from 156 submissions. The papers focus on simulation methods, simulation techniques, simulation software, simulation performance, modeling formalisms, simulation verification and widely used frameworks.
Simulation Tools and Techniques: 12th EAI International Conference, SIMUtools 2020, Guiyang, China, August 28-29, 2020, Proceedings, Part I (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering #369)
by Houbing Song Dingde JiangThis two-volume set constitutes the refereed post-conference proceedings of the 12th International Conference on Simulation Tools and Techniques, SIMUTools 2020, held in Guiyang, China, in August 2020. Due to COVID-19 pandemic the conference was held virtually. The 125 revised full papers were carefully selected from 354 submissions. The papers focus on simulation methods, simulation techniques, simulation software, simulation performance, modeling formalisms, simulation verification and widely used frameworks.