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Concepts and Methodologies for Modeling and Simulation

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Cover of 'Concepts and Methodologies for Modeling and Simulation'

Table of Contents

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    Book Overview
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    Chapter 1 Toward Agent-Supported and Agent-Monitored Model-Driven Simulation Engineering
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    Chapter 2 Service-Oriented Model Engineering and Simulation for System of Systems Engineering
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    Chapter 3 Research on High-Performance Modeling and Simulation for Complex Systems
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    Chapter 4 Dynamic Data-Driven Simulation: Connecting Real-Time Data with Simulation
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    Chapter 5 Learning Something Right from Models That Are Wrong: Epistemology of Simulation
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    Chapter 6 Managing Hybrid Model Composition Complexity: Human–Environment Simulation Models
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    Chapter 7 Transformation of Conceptual Models to Executable High-Level Architecture Federation Models
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    Chapter 8 Using Discrete-Event Cell-Based Multimodels for the Simulation of Evacuation Processes
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    Chapter 9 Quality Indicators Throughout the Modeling and Simulation Life Cycle
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    Chapter 10 Verification, Validation, and Replication Methods for Agent-Based Modeling and Simulation: Lessons Learned the Hard Way!
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    Chapter 11 Comparisons of Validated Agent-Based Model and Calibrated Statistical Model
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    Chapter 12 Generalized Discrete Events for Accurate Modeling and Simulation of Logic Gates
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    Chapter 13 Specification and Implementation of Social Science Models
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    Chapter 14 Simulating Human Social Behaviors
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    Chapter 15 A Review of Extant M&S Literature Through Journal Profiling and Co-citation Analysis
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    Chapter 16 Erratum
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Title
Concepts and Methodologies for Modeling and Simulation
Published by
Springer International Publishing, January 2015
DOI 10.1007/978-3-319-15096-3
ISBNs
978-3-31-915095-6, 978-3-31-915096-3
Editors

Levent Yilmaz

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X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
United States 1 2%
Argentina 1 2%
Australia 1 2%
Unknown 47 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 27%
Student > Master 12 24%
Student > Bachelor 7 14%
Student > Doctoral Student 5 10%
Researcher 5 10%
Other 3 6%
Unknown 5 10%
Readers by discipline Count As %
Computer Science 16 31%
Engineering 8 16%
Social Sciences 5 10%
Environmental Science 4 8%
Business, Management and Accounting 3 6%
Other 8 16%
Unknown 7 14%