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003 OCoLC
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006 m o d
007 cr un|---aucuu
008 191026s2020 nju ob 001 0 eng d
040 _aEBLCP
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019 _a1125022962
020 _a9781119527183
_q(electronic bk. ;
_qoBook)
020 _a111952718X
_q(electronic bk. ;
_qoBook)
020 _a9781119527206
_q(ePub ebook)
020 _a1119527201
_q(ePub ebook)
020 _a9781119527107
_q(electronic bk.)
020 _a1119527104
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020 _z1119527171
020 _z9781119527176
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035 _a(OCoLC)1125107583
_z(OCoLC)1125022962
037 _a9781119527206
_bWiley
050 4 _aHD30.29
082 0 4 _a658.4/03
_223
049 _aMAIN
100 1 _aTang, Jiangjun.
_94747
245 1 0 _aSimulation and Computational Red Teaming for Problem Solving /
_cJiangjun Tang, George Leu, Hussein A. Abbass.
260 _aHoboken :
_bWiley,
_c©2020.
300 _a1 online resource (493 pages)
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 1 _aIEEE Press Series on Computational Intelligence Ser.
588 0 _aPrint version record.
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
505 8 _a13.4 COMPUTATIONAL RED TEAMING PURPOSES
504 _aIncludes bibliographical references and index.
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.
650 0 _aProblem solving.
_94748
650 0 _aSimulation methods.
_94749
650 7 _aProblem solving.
_2fast
_0(OCoLC)fst01077890
_94748
650 7 _aSimulation methods.
_2fast
_0(OCoLC)fst01119166
_94749
655 4 _aElectronic books.
_93294
700 1 _aAbbass, Hussein A.
_94750
700 1 _aLeu, George.
_94751
776 0 8 _iPrint version:
_aAbbass, Hussein A.
_tSimulation and Computational Red Teaming for Problem Solving.
_dNewark : John Wiley & Sons, Incorporated, ©2019
_z9781119527176
830 0 _aIEEE series on computational intelligence.
_94752
856 4 0 _uhttps://doi.org/10.1002/9781119527183
_zWiley Online Library
942 _cEBK
994 _aC0
_bDG1
999 _c68333
_d68333