scholarly journals A Review on Control and Optimisation of Multi-Agent Systems and Complex Networks for Systems Engineering

2020 ◽  
Author(s):  
Manuel Herrera ◽  
Marco Pérez-Hernández ◽  
Ajith Kumar Parlikad ◽  
Joaquín Izquierdo
Keyword(s):  
Complex Networks ◽  
Systems Engineering ◽  
Future Research ◽  
Multi Agent Systems ◽  
Control Software ◽  
Research Directions ◽  
Supply Chain Networks ◽  
Agent Systems ◽  
Multi Agent ◽  
Future Research Directions

Systems Engineering is an ubiquitous discipline of Engineering overlapping industrial, chemical, mechanical, manufacturing, control, software, electrical, and civil engineering. It provides tools for dealing with the complexity and dynamics related to the optimisation of physical, natural, and virtual systems management. This paper presents a review of how multi-agent systems and complex networks theory are brought together to address Systems Engineering and management problems. The review also encompasses current and future research directions both for theoretical fundamentals and applications in Industry. This is made by considering trends such as mesoscale, multiscale, and multilayer networks; along with the state-of-art analysis on network dynamics and intelligent networks. Critical and smart infrastructure, manufacturing processes, and supply chain networks are instances of research topics for which this literature review is highly relevant.

scholarly journals Multi-Agent Systems and Complex Networks: Review and Applications in Systems Engineering

Processes ◽  
2020 ◽  
Vol 8 (3) ◽  
pp. 312 ◽  
Author(s):  
Manuel Herrera ◽  
Marco Pérez-Hernández ◽  
Ajith Kumar Parlikad ◽  
Joaquín Izquierdo
Keyword(s):  
Complex Networks ◽  
Systems Engineering ◽  
Future Research ◽  
Multi Agent Systems ◽  
Control Software ◽  
Research Directions ◽  
Supply Chain Networks ◽  
Agent Systems ◽  
Multi Agent ◽  
Future Research Directions

Systems engineering is an ubiquitous discipline of Engineering overlapping industrial, chemical, mechanical, manufacturing, control, software, electrical, and civil engineering. It provides tools for dealing with the complexity and dynamics related to the optimisation of physical, natural, and virtual systems management. This paper presents a review of how multi-agent systems and complex networks theory are brought together to address systems engineering and management problems. The review also encompasses current and future research directions both for theoretical fundamentals and applications in the industry. This is made by considering trends such as mesoscale, multiscale, and multilayer networks along with the state-of-art analysis on network dynamics and intelligent networks. Critical and smart infrastructure, manufacturing processes, and supply chain networks are instances of research topics for which this literature review is highly relevant.

Final Remarks on The Investigation in Neural Trust in Multi-Agent Systems and Possible Future Directions

2017 ◽  
pp. 367-369
Author(s):  
Gehao Lu ◽  
Joan Lu
Keyword(s):  
Big Data ◽  
The Other ◽  
Future Research ◽  
Multi Agent Systems ◽  
Future Directions ◽  
Research Directions ◽  
Agent Systems ◽  
Multi Agent ◽  
Future Research Directions

This chapter provides the book's summary and conclusion on the neural trust in multi-agent systems. It also discusses possible future research directions in the field. The other chapters that make up this book collectively discuss ontology and big data.

scholarly journals Control and Optimization of Multi-Agent Systems and Complex Networks for Systems Engineering

Processes ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 2070
Author(s):  
Manuel Herrera ◽  
Marco Pérez-Hernández ◽  
Ajith Parlikad ◽  
Joaquín Izquierdo
Keyword(s):  
Complex Networks ◽  
Systems Engineering ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Multi Agent ◽  
Engineered Systems

Systems engineering crosses multiple engineering disciplines for the design, control, and overall management of engineered systems [...]

Multi-Agent Systems for Urban Planning

2014 ◽  
pp. 29-56 ◽  
Author(s):  
Andrew T. Crooks ◽  
Amit Patel ◽  
Sarah Wise
Keyword(s):  
Urban Planning ◽  
Future Research ◽  
Multi Agent Systems ◽  
Land Use Patterns ◽  
Agent Systems ◽  
Use Patterns ◽  
Multi Agent ◽  
Future Research Directions ◽  
Social And Physical Environment ◽  
Changing Demographics

Cities provide homes for over half of the world's population, and this proportion is expected to increase throughout the next century. The growth of cities raises many questions and challenges for urban planning including which cities and regions are most likely to grow, what the pattern of urban growth will be, and how the existing infrastructure will cope with such growth. One way to explore these types of questions is through the use of multi-agent systems (MAS) that are capable of modeling how individuals interact and how structures emerge through such interactions, in terms of both the social and physical environment of cities. Within this chapter, the authors focus on how MAS can lead to insights into urban problems and aid urban planning from the bottom up. They review MAS models that explore the growth of cities and regions, models that explore land-use patterns resulting from such growth along with the rise of slums. Furthermore, the authors demonstrate how MAS models can be used to model transportation and the changing demographics of cities. Through these examples the authors also demonstrate how this style of modeling can give insights into such issues that cannot be gleamed from other modeling methodologies. The chapter concludes with challenges and future research directions of MAS models with respect to capturing the dynamics of human behavior in urban planning.

scholarly journals Multi-Agent Systems Engineering

2011 ◽  
Author(s):  
Scott A. DeLoach ◽  
Madhukar Kumar
Keyword(s):  
Systems Engineering ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Multi Agent

scholarly journals A survey of privacy in multi-agent systems

2013 ◽  
Vol 29 (3) ◽  
pp. 314-344 ◽  
Author(s):  
Jose M. Such ◽  
Agustín Espinosa ◽  
Ana García-Fornes
Keyword(s):  
Information Technologies ◽  
Autonomous Agents ◽  
Personal Information ◽  
Computer Applications ◽  
Future Research ◽  
The Internet ◽  
Multi Agent Systems ◽  
Personal Privacy ◽  
Agent Systems ◽  
Multi Agent

AbstractPrivacy has been a concern for humans long before the explosive growth of the Internet. The advances in information technologies have further increased these concerns. This is because the increasing power and sophistication of computer applications offers both tremendous opportunities for individuals, but also significant threats to personal privacy. Autonomous agents and multi-agent systems are examples of the level of sophistication of computer applications. Autonomous agents usually encapsulate personal information describing their principals, and therefore they play a crucial role in preserving privacy. Moreover, autonomous agents themselves can be used to increase the privacy of computer applications by taking advantage of the intrinsic features they provide, such as artificial intelligence, pro-activeness, autonomy, and the like. This article introduces the problem of preserving privacy in computer applications and its relation to autonomous agents and multi-agent systems. It also surveys privacy-related studies in the field of multi-agent systems and identifies open challenges to be addressed by future research.

Research on applications and problem of control of swarm intelligence and robotics

2020 ◽  
Vol 25 (1) ◽  
pp. 44-50
Author(s):  
Baraniuk A.S. ◽  
Keyword(s):  
Swarm Intelligence ◽  
Future Research ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Advantages And Disadvantages ◽  
Multi Agent ◽  
And Robotics

This article provides overview of the swarm intelligence and robotics fields, main characteristics of such systems provided, their advantages and disadvantages as well as differences from other multi-agent systems. Also, main fields of application for swarm systems with examples provided apart from short information on swarm optimizations. The problem of swarms’ control described and possible solutions for it such as algorithm replacement, parameters change, control through environment and leaders. Apart from that fields for possible future research noted.

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