| 000 | 07028nam a2200685 i 4500 | ||
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| 001 | 8889859 | ||
| 003 | IEEE | ||
| 005 | 20230927112401.0 | ||
| 006 | m o d | ||
| 007 | cr |n||||||||| | ||
| 008 | 191112s2019 nju ob 001 eng d | ||
| 015 | _zGBB9H7528 (print) | ||
| 016 | _z019591113 (print) | ||
| 019 | _a1125022962 | ||
| 020 |
_a9781119527183 _qelectronic bk. |
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| 020 |
_z9781119527176 _qprint |
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| 020 | _a1119527104 | ||
| 020 |
_z111952718X _qelectronic bk. |
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| 020 |
_z9781119527107 _qElectronic |
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| 020 | _z1119527171 | ||
| 020 | _a1119527201 | ||
| 020 |
_z9781119527206 _qePub ebook |
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| 024 | 7 |
_a10.1002/9781119527183 _2doi |
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| 035 | _a(CaBNVSL)mat08889859 | ||
| 035 | _a(IDAMS)0b0000648b8e08c3 | ||
| 040 |
_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL |
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| 082 | 0 | 4 | _a658.4/03 |
| 100 | 1 |
_aTang, Jiangjun, _eauthor. |
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| 245 | 1 | 0 |
_aSimulation and Computational Red Teaming for Problem Solving / _cJiangjun Tang, George Leu, Hussein A. Abbass. |
| 264 | 1 |
_aHoboken : _bWiley, _cc2020. |
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| 264 | 2 |
_a[Piscataqay, New Jersey] : _bIEEE Xplore, _c[2019] |
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| 300 | _a1 PDF (493 pages). | ||
| 336 |
_atext _2rdacontent |
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| 337 |
_aelectronic _2isbdmedia |
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| 338 |
_aonline resource _2rdacarrier |
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| 490 | 1 | _aIEEE Press Series on Computational Intelligence Ser. | |
| 500 | _a13.4 COMPUTATIONAL RED TEAMING PURPOSES | ||
| 504 | _aIncludes bibliographical references and index. | ||
| 505 | 0 | _aIntro; TITLE PAGE; COPYRIGHT PAGE; CONTENTS; LIST OF FIGURES; LIST OF TABLES; PREFACE; PART I ON PROBLEM SOLVING, COMPUTATIONAL RED TEAMING, AND SIMULATION; CHAPTER 1 PROBLEM SOLVING, SIMULATION, AND COMPUTATIONAL RED CHAPTER 1 PROBLEM SOLVING, SIMULATION, AND COMPUTATIONAL RED TEAMING; 1.1 INTRODUCTION; 1.2 PROBLEM SOLVING; 1.3 COMPUTATIONAL RED TEAMING AND SELF-'VERIFICATION AND VALIDATION'; CHAPTER 2 INTRODUCTION TO FUNDAMENTALS OF SIMULATION; 2.1 INTRODUCTION; 2.2 SYSTEM; 2.3 CONCEPTS IN SIMULATION; 2.4 SIMULATION TYPES; 2.5 TOOLS FOR SIMULATION; 2.6 CONCLUSION | |
| 505 | 8 | _aPART II BEFORE SIMULATION STARTSCHAPTER 3 THE SIMULATION PROCESS; 3.1 INTRODUCTION; 3.2 DEFINE THE SYSTEM AND ITS ENVIRONMENT; 3.3 BUILD A MODEL; 3.4 ENCODE A SIMULATOR; 3.5 DESIGN SAMPLING MECHANISMS; 3.6 RUN SIMULATOR UNDER DIFFERENT SAMPLES; 3.7 SUMMARISE RESULTS; 3.8 MAKE A RECOMMENDATION; 3.9 AN EVOLUTIONARY APPROACH; 3.10 A BATTLE SIMULATION BY LANCHESTER SQUARE LAW; CHAPTER 4 SIMULATION WORLDVIEW AND CONFLICT RESOLUTION; 4.1 SIMULATION WORLDVIEW; 4.2 SIMULTANEOUS EVENTS AND CONFLICTS IN SIMULATION; 4.3 PRIORITY QUEUE AND BINARY HEAP; 4.4 CONCLUSION | |
| 505 | 8 | _aCHAPTER 5 THE LANGUAGE OF ABSTRACTION AND REPRESENTATION5.1 INTRODUCTION; 5.2 INFORMAL REPRESENTATION; 5.3 SEMI-FORMAL REPRESENTATION; 5.4 FORMAL REPRESENTATION; 5.5 FINITE-STATE MACHINE; 5.6 ANT IN MAZE MODELLED BY FINITE-STATE MACHINE; 5.7 CONCLUSION; CHAPTER 6 EXPERIMENTAL DESIGN; 6.1 INTRODUCTION; 6.2 FACTOR SCREENING; 6.3 METAMODEL AND RESPONSE SURFACE; 6.4 INPUT SAMPLING; 6.5 OUTPUT ANALYSIS; 6.6 CONCLUSION; PART III SIMULATION METHODOLOGIES; CHAPTER 7 DISCRETE EVENT SIMULATION; 7.1 DISCRETE EVENT SYSTEMS; 7.2 DISCRETE EVENT SIMULATION; 7.3 CONCLUSION; CHAPTER 8 DISCRETE TIME SIMULATION | |
| 505 | 8 | _a8.1 INTRODUCTION8.2 DISCRETE TIME SYSTEM AND MODELLING; 8.3 SAMPLE PATH; 8.4 DISCRETE TIME SIMULATION AND DISCRETE EVENT SIMULATION; 8.5 A CASE STUDY: CAR-FOLLOWING MODEL; 8.6 CONCLUSION; CHAPTER 9 CONTINUOUS SIMULATION; 9.1 CONTINUOUS SYSTEM; 9.2 CONTINUOUS SIMULATION; 9.3 NUMERICAL SOLUTION TECHNIQUES FOR CONTINUOUS SIMULATION; 9.4 SYSTEM DYNAMICS APPROACH; 9.5 COMBINED DISCRETE-CONTINUOUS SIMULATION; 9.6 CONCLUSION; CHAPTER 10 AGENT-BASED SIMULATION; 10.1 INTRODUCTION; 10.2 AGENT-BASED SIMULATION; 10.3 EXAMPLES OF AGENT-BASED SIMULATION; 10.4 CONCLUSION | |
| 505 | 8 | _aPART IV SIMULATION AND COMPUTATIONAL RED TEAMING SYSTEMSCHAPTER 11 KNOWLEDGE ACQUISITION; 11.1 INTRODUCTION; 11.2 AGENT-ENABLED KNOWLEDGE ACQUISITION: CORE PROCESSES; 11.3 HUMAN AGENTS; 11.4 HUMAN-INSPIRED AGENTS; 11.5 MACHINE AGENTS; 11.6 SUMMARY DISCUSSION AND PERSPECTIVES ON KNOWLEDGE ACQUISITION; CHAPTER 12 COMPUTATIONAL INTELLIGENCE; 12.1 INTRODUCTION; 12.2 EVOLUTIONARY COMPUTATION; 12.3 ARTIFICIAL NEURAL NETWORKS; 12.4 CONCLUSION; CHAPTER 13 COMPUTATIONAL RED TEAMING; 13.1 INTRODUCTION; 13.2 COMPUTATIONAL RED TEAMING: THE CHALLENGE LOOP; 13.3 COMPUTATIONAL RED TEAMING OBJECTS | |
| 506 | _aRestricted to subscribers or individual electronic text purchasers. | ||
| 520 | _aAN AUTHORITATIVE GUIDE TO COMPUTER SIMULATION GROUNDED IN A MULTI-DISCIPLINARY APPROACH FOR SOLVING COMPLEX PROBLEMS Simulation and Computational Red Teaming for Problem Solving offers a review of computer simulation that is grounded in a multi-disciplinary approach. The authors present the theoretical foundations of simulation and modeling paradigms from the perspective of an analyst. The book provides the fundamental background information needed for designing and developing consistent and useful simulations. In addition to this basic information, the authors explore several advanced topics. The book's advanced topics demonstrate how modern artificial intelligence and computational intelligence concepts and techniques can be combined with various simulation paradigms for solving complex and critical problems. Authors examine the concept of Computational Red Teaming to reveal how the combined fundamentals and advanced techniques are used successfully for solving and testing complex real-world problems. This important book: . Demonstrates how computer simulation and Computational Red Teaming support each other for solving complex problems. Describes the main approaches to modeling real-world phenomena and embedding these models into computer simulations. Explores how a number of advanced artificial intelligence and computational intelligence concepts are used in conjunction with the fundamental aspects of simulation Written for researchers and students in the computational modelling and data analysis fields, Simulation and Computational Red Teaming for Problem Solving covers the foundation and the standard elements of the process of building a simulation and explores the simulation topic with a modern research approach. | ||
| 530 | _aAlso available in print. | ||
| 538 | _aMode of access: World Wide Web | ||
| 588 | _aDescription based on PDF viewed 11/12/2019. | ||
| 650 | 0 | _aProblem solving. | |
| 650 | 0 | _aSimulation methods. | |
| 655 | 4 | _aElectronic books. | |
| 700 | 1 | _aAbbass, Hussein A. | |
| 700 | 1 | _aLeu, George. | |
| 710 | 2 |
_aIEEE Xplore (Online Service), _edistributor. |
|
| 710 | 2 |
_aWiley, _epublisher. |
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| 776 | 0 | 8 |
_iPrint version: _aAbbass, Hussein A. _tSimulation and Computational Red Teaming for Problem Solving _dNewark : John Wiley & Sons, Incorporated,c2019 _z9781119527176 |
| 830 | 0 | _aIEEE series on computational intelligence. | |
| 856 | 4 | 2 |
_3Abstract with links to resource _uhttps://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=8889859 |
| 999 |
_c40888 _d40888 |
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