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 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.

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.

A Laboratory Infrastructure for the Evaluation of the Use of Multi-Agent Technologies in Industrial SCADA Systems

2014 ◽  
Vol 656 ◽  
pp. 432-441
Author(s):  
Eugen Diaconescu ◽  
Florentina Magda Enescu
Keyword(s):  
Artificial Intelligence ◽  
Laboratory Test ◽  
Test Bench ◽  
The Other ◽  
Multi Agent Systems ◽  
Research Directions ◽  
Agent Systems ◽  
Scada Systems ◽  
Multi Agent ◽  
Scada Networks

This paper presents some considerations on the posibility of using of multi-agent systems MAS in building SCADA systems. It also describes the laboratory test bench developed by us for the testing of the SCADA-MAS compound. It is shown the reflection in the literature of the SCADA-MAS subject to the extent that it exists and the main concepts underlying the two important technologies, one of which is of technical and engineering origin, and the other is related to artificial intelligence. We evaluates the prejudgement concerning incompatibility or the disimilarity of the two technologies having divergent characteristics. We propose research directions suitable for multi-agent systems to assist in solving industrial SCADA networks.

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 Selective Harvesting Robotics: Current Research, Trends, and Future Directions

2021 ◽  
Author(s):  
Gert Kootstra ◽  
Xin Wang ◽  
Pieter M. Blok ◽  
Jochen Hemming ◽  
Eldert van Henten
Keyword(s):  
Review Paper ◽  
Production Systems ◽  
Future Research ◽  
Limiting Factor ◽  
Future Directions ◽  
Research Directions ◽  
Selective Harvesting ◽  
Important Solution ◽  
Future Research Directions ◽  
Current Systems

Abstract Purpose of Review The world-wide demand for agricultural products is rapidly growing. However, despite the growing population, labor shortage becomes a limiting factor for agricultural production. Further automation of agriculture is an important solution to tackle these challenges. Recent Findings Selective harvesting of high-value crops, such as apples, tomatoes, and broccoli, is currently mainly performed by humans, rendering it one of the most labor-intensive and expensive agricultural tasks. This explains the large interest in the development of selective harvesting robots. Selective harvesting, however, is a challenging task for a robot, due to the high levels of variation and incomplete information, as well as safety. Summary This review paper provides an overview of the state of the art in selective harvesting robotics in three different production systems; greenhouse, orchard, and open field. The limitations of current systems are discussed, and future research directions are proposed.

scholarly journals “Nanomaterials of curcumin-hyaluronic acid”: their various methods of formulations, clinical and therapeutic applications, present gap, and future directions

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Tanzeel Rehman Charan ◽  
Muhammad Aqeel Bhutto ◽  
Mihr Ali Bhutto ◽  
Azhar Ali Tunio ◽  
Ghulam Murtaza Khuhro ◽  
...  
Keyword(s):  
Clinical Trials ◽  
Hyaluronic Acid ◽  
Future Research ◽  
Main Body ◽  
Future Directions ◽  
Research Directions ◽  
Safety And Efficacy ◽  
Therapeutic Applications ◽  
Future Research Directions ◽  
Neural Disorders

Abstract Background Nanomaterials of curcumin with hyaluronic acid have gained a lot of attention for potential therapeutic applications of curcumin and hyaluronic acid with or without other additional drugs. Overall studies of curcumin and hyaluronic acid show that nanomaterials of curcumin with hyaluronic acid accelerate the efficacy of curcumin in the treatment of various disorders like arthritis, cancer, hepatic fibrosis, neural disorders, wound healing, and skin regeneration, it is largely due to the combined effect of hyaluronic acid and curcumin. However, due to limited clinical trials and experiments on humans and animals, there is a substantial gap in research for the safety and efficacy of nanomaterials of curcumin-hyaluronic acid in the treatment of curcumin and hyaluronic acid targeted diseases and disorders. Main body of the abstract In this current review, we have first described various reported synthetic nanomaterials of curcumin-hyaluronic acid, then in the next section, we have described various fields, disorders, and diseases where these are being applied and in the final section of this review, we discussed the research gap, and future research directions needed to propose the fabricated nanocurcumin-hyaluronic acid biomaterials. Short conclusion There are substantial gaps in research for the safety and efficacy of nanomaterials of curcumin with hyaluronic acid due to limited available data of clinical trials and experiments of nanocurcumin-hyaluronic acid biomaterials on humans and animals. So, it entirely requires serious and committed efforts through the well-organized system of practical and clinical trials which provide results, data, and detections that lead to the formulation of the best drug from curcumin with hyaluronic acid for the treatment of curcumin and hyaluronic acid targeted diseases and disorders.

Future Research Directions in E-Tourism Studies

Big Data ◽  
2016 ◽  
pp. 2368-2387
Author(s):  
Hajime Eto
Keyword(s):  
Big Data ◽  
Future Research ◽  
Research Directions ◽  
Scientific Methods ◽  
Tourism Studies ◽  
The Future ◽  
Future Research Directions ◽  
And Behaviors ◽  
Public Voice

As this book has the limited numbers of chapters and pages, many important issues remain unanalyzed. This chapter picks up and roughly discusses some of them for the future analyses in more analytical ways. The focuses are placed on how to apply the data scientific methods to the analyses of public voice, claims and behaviors of tourists, customers and the general publics by using the big data already acquired and stored somewhere.

Big Data Analytics Driven Supply Chain Transformation

2019 ◽  
pp. 106-124 ◽  
Author(s):  
Mondher Feki
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Future Research ◽  
Research Directions ◽  
Digital Platforms ◽  
New Frontier ◽  
Future Research Directions ◽  
Chain Transformation

Big data has emerged as the new frontier in supply chain management; however, few firms know how to embrace big data and capitalize on its value. The non-stop production of massive amounts of data on various digital platforms has prompted academics and practitioners to focus on the data economy. Companies must rethink how to harness big data and take full advantage of its possibilities. Big data analytics can help them in giving valuable insights. This chapter provides an overview of big data analytics use in the supply chain field and underlines its potential role in the supply chain transformation. The results show that big data analytics techniques can be categorized into three types: descriptive, predictive, and prescriptive. These techniques influence supply chain processes and create business value. This study sets out future research directions.

Evolutionary Computation as a Paradigm for Engineering Emergent Behaviour in Multi-Agent Systems

2011 ◽  
pp. 118-136 ◽  
Author(s):  
Robert E. Smith ◽  
Claudio Bonacina
Keyword(s):  
Evolutionary Computation ◽  
Multi Agent System ◽  
Multi Agent Systems ◽  
Agent System ◽  
Future Directions ◽  
Agent Based ◽  
Agent Systems ◽  
Emergent Behaviour ◽  
Shaping System ◽  
Multi Agent

In the multi-agent system (MAS) context, the theories and practices of evolutionary computation (EC) have new implications, particularly with regard to engineering and shaping system behaviors. Thus, it is important that we consider the embodiment of EC in “real” agents, that is, agents that involve the real restrictions of time and space within MASs. In this chapter, we address these issues in three ways. First, we relate the foundations of EC theory to MAS and consider how general interactions among agents fit within this theory. Second, we introduce a platform independent agent system to assure that our EC methods work within the generic, but realistic, constraints of agents. Finally, we introduce an agent-based system of EC objects. Concluding sections discuss implications and future directions.

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