Modelling and Design of Complex Systems: Oil & Gas approached by Extended Reality (VR, AR, MR)

Modeling and Design of Complex System

Prof. Agostino G. Bruzzone,
Ing. Federico Tarone (PhD in M&S),
Col.Michele Turi (PhD in M&S),

Top Experts support the Exercises & Simulation Lab Experiences: Dott.Marina Massei, Dr.Riccardo di Matteo, Dott.Kirill Sinelshchikov, Dr.Matteo Agresta, Col.Paolo di Bella.
Exercises are carried out by Teachers, Invited Guests and Assistants that are introduced directly to class for directing specific Seminars.

Video Library
MS Teams and Webinars
Aula Web

Complex Systems (pp.56) Strategy and Challenges (pp.3)
System Engineering & Complex Systems (pp.85) Modelling & Design of Complex Systems (pp.229)
SoSE for Complex Systems (pp.159) Strategies & Security in Complex SYstems (pp.338)
Project Management in Complex Systems (pp.268) Modeling Cyber Threats, Cyber Defense, Cyber Security & Cyber Warfare

Introducing Case Studies Several Case Studies of Complex System Modeling
Examples of Projects on Complex Systems Demonstrations, Media and Videos
Interactive Demo on Population Behavior, Social Networks, Transportations, Infrastructures, Industrial and Urban Simulation Live & Interactive Demonstration on Wearable Solutions for Mixed Reality (VR, AR)
Video Pills on Complex Systems Modeling Hybrid Warfare

Course Program
Course References

Offices & Labs

Genoa Site, Via Opera Pia 15, 16125 Genova, Italy
Savona Campus, via Magliotto 2, 17100 Savona, Italy

Education Objectives

Foundation on Complex Systems. Transfer of knowledge about Simulation Paradigms and Modeling Methodologies effective for addressing Complex Systems. Transfer of capabilities to analyze real problems and case studies corresponding to Complex Systems. Acquisition of skills in Conceptual Modeling applied to Complex Problems. Acquisition of Skills in design of Simulation Architectures and Model Development applied to Complex Systems.

Course Program & Elements:

Introduction to the Complex Systems of the class. Definition of Complex Systems and Emergent Behaviors. Complexity Classes, Attributes, Level of Complexity.
Computational Complexity, Kolmogorov complexity, Krohn-Rhodes theory, Network Complexity, Hierarchical Complexity.
Complex System Subjects: Dynamic Structures and Complex Dynamics, Complexity in Physical and Chemical systems, Biological Systems, Human Systems, Engineering and Artificial Systems.
System of System Engineering and Industrial Plants as examples of Complex Systems.
Conceptual Modelling for Complex Systems. Live, Virtual and Constructive Simulation applied to Complex Systems.
Challenges in Verification, Validation and Accreditation of Simulators dealing with Complex Systems.
Example of Modeling Complex Systems: Stochastic Systems, Multiparticle Systems, Multibody Systems, Models used in Systems of Systems Engineering.
Examples of Simulation for different real case of Complex Systems: Case Studies related to real Industrial, Business and Defense Frameworks
Strategic Analysis and Decision Making related to Complex Systems, Design and Reengineering of Complex Systems based on Quantitative Modelling & Simulation
Techniques for Identification and Analysis of Emergent Behaviors
Simulation Paradigms of M&S for Complex Systems; theoretical foundations of interoperable Simulation, distributed simulation, MS2G, MSaaS.
Interoperable Simulation and Modelling Solution for Complex Systems. Design of Models and Development of Simulators and Federations of Simulators.
Human Behavior Modeling and Intelligent Agents reproducing Population and Social Systems.
Operational Expertise in using Modeling and Simulation (M&S) and related experimental methodologies.
Techniques to investigate Complex Systems and to support related decision making processes.
Lean Simulation: Concept, Methodologies and Techniques, Modeling and Simulation applied to Early Stage Evaluation of Large Programs.
Methodologies and Techniques for applying M&S in SME (Small Medium Size Enterprises).
Simulation as enabler for Applying Artificial Intelligence and Intelligent Agents in Industrial and Defense Applications: Nested and Combined Simulation to support Decision Making and Planning.
Artificial Intelligence Techniques integrated with Simulation for Strategic Decision Making.
Strategic Decision Making Based on Simulation in Defense over Multiple Join Domains.
M&S of Joint Operations over a Comprehensive Approach and Simulation for Transformation (e.g. Autonomous Multi Domain Systems, Hybrid Warfare, Threat Networks).
Simulation of Complex Systems in Business and Industrial Plants (e.g. MOSES, CUMANA, LEM, LEXIS, GreenLog, SISOM).
Simulation of Complex Systems in Defense and Homeland Security(e.g. JESSI, CAPRICORN, IA-CGF, IDRAS).
Direct Experiences in applying different Simulation Tools, Models, Soft Computing Intelligent Agents and technologies to address specific problems involving Complex Systems.
Models for Complex Systems and Strategy: MISCHIEF, SIMCJOH, T-REX, DT
Experimentation and Use of Simulation Environments: e.g. LEM Simulation for Strategic Planning in Automotive Industry.
MOSES Simulator for Evaluating Sustainability of new Industrial Plant into a Region.
GreenLog Green Logistics Modeling. FRINE Simulation and Artificial Intelligence for Production Planning over the Supply Chain.
COMADREJA Company Model for Process Reengineering, CALYPSO Life Cycle Simulation for New Carrier in Ship Building.
LEXIS Industrial Plant Reorganization Simulator, CUMANA Simulation for Competitive and Cooperative Education & Training of Industrial Managers.
MEGACITY Models of Development for Logistics, Safety and Energy, SISOM VR & AR for New Service Models, SECSIM Port Simulation.
Logos Simulator for Strategic Planning of Fleet, Marlon SOUCI Simulation for Critical Industrial Infrastructure Protection fromPhysical and Cyber Threats
Seminars on Advanced Models for Complex Logistics
Autonomous Systems to Transform modern Warehouses
Complex Node dealing with Logistics
Exercises and Experiences are available on the Educational Material related to Logistics Modeling

Complex Node dealing with Logistics
Complex Node dealing with Logistics
Advanced Immersive Interoperable Interactive Solutions for Complex Logistics
Advanced Immersive Interoperable Interactive Solutions for Complex Logistics
Autonomous Systems to transform Modern Warehouses
Autonomous Systems to Transform Modern Warehouses

Teaching Approach

Frontal Lectures presenting Theory and practical application of Methodologies related to Modelling and Simulation for Complex Systems. Individual and Team Work Exercises in developing Conceptual Models and verifying, validating, tuning and conducting experiments on Simulators of Complex Systems. Training and Education of the Students in Virtual Experiences within Simulation Labs by using directly the presented methodologies and techniques in realistic problems and case studies using M&S solutions.

Evaluation and Final Exam

Multiple Experiences carried out in Virtual Labs where the Students are evaluated on Simulation Exercises and Experiences, based on Individual and in team working by Collaborative and/or Competitive approach, representing Micro Projects devoted to address specific issues within realistic complex problems by using M&S (e.g. MISCHIEF, SIMCJOH, T-REX, DT). Final Exam will be carried out by Oral Exam including review of the Simulation Exercises & Experiences and by requiring to demonstrate skills in conceptual modeling and simulation development.

Time Zone

A, Genoa, Italy (CET), GMT+1 (during Daylight Saving Time GMT+2)


The Course does not require specific prerequisites, being accessible to University students and including all the elements and references necessary for the Candidates; therefore basics know-how in engineering, mathematics, statistics and computer use could be useful to improve the Candidate learning curve and performance.

Offices & Labs

Genoa Site, Via Opera Pia 15, 16125 Genova, Italy
Savona Campus, via Magliotto 2, 17100 Savona, Italy


Introduction to the Complex Systems of the class. Definition of Complex Systems and Emergent Behaviors. Complexity Classes, Attributes, Level of Complexity.
Banks, J. (1998) "Handbook of Simulation: Principles, Methodology, Advances, Applications and Practice", John Wiley & Sons, ISBN 978-0471134039
Bossomaier, T.R. & Green, D.G. (2000) 'Complex systems', Cambridge University Press, UK
Bruzzone, A.G. & Massei, M. (2017) "Simulation-Based Military Training", in Guide to Simulation-Based Disciplines, Springer, pp. 315-361, ISBN 978-3319612638
Bruzzone A.G., Giambiasi N., Gambardella L.M., Merkuryev Y.A. (2001) "Harbour, Maritime & Multmodal Logistics Modelling & Simulation 2001", SCS Europe Publishing House, ISBN 90-77039-03-1
Bruzzone, A.G., Kerckhoffs (1996) "Simulation in Industry", SCS Europe Publishing House, Vol. I & II, ISBN 1-56555-099-4
Clemen R.T, Reilly T. (2001) "Making Hard Decisions", Duxbury, Pacific Grove CA
McLeod, J. (1982) 'Computer Modeling and Simulation: Principles of Good Practice', Society for Computer Simulation, San Diego, ISBN 978-9992501733
Montgomery, D.C. (2000) "Design and Analysis of Experiments", John Wiley & Sons, New York
Stern, C.W., Stalk, G. (1998) "Perspective on Strategy", John Wiley & Sons, Hoboken, NJ
Spiegel, M.R., Schiller, L.J.(1999) "Statistics", McGraw Hill, NYC
Zeigler, B.P., Praehofer, H. & Kim, T. G. (2000) "Theory of Modeling and Simulation integrating Discrete Event and Continuous Complex Dynamic Systems", Elsevier, Academic Press, ISBN 978-0127784557