scholarly journals Research on the coordination mechanism of major industrial project engineering and construction multi-agents based on structural holes theory

PLoS ONE ◽  
2021 ◽  
Vol 16 (8) ◽  
pp. e0255858
Author(s):  
Xiaokang Han ◽  
Wenzhou Yan ◽  
Mei Lu
Keyword(s):  
Complex Network ◽  
Coordination Mechanism ◽  
Coordination Problem ◽  
Structural Holes ◽  
Network Diagram ◽  
Pmc Model ◽  
3D Network ◽  
Industrial Projects ◽  
Multi Agent ◽  
Agent Coordination

Industry is an important pillar of the national economy. Industrial projects are the most complex and difficult projects to control in the construction industry, and major industrial projects are even more complex and difficult to control. Multi-agent coordination is one of the core issues of industrial projects. Based on an analysis of the engineering and construction chains and agent relationships and agent networks of industrial projects, a complex network of the engineering and construction agents of industrial projects is established, and the complex network structural holes theory is applied to study the nonrepeated relationships among agents in industrial projects. Assuming agents are linked through contract relations and the most critical contract index between the agents in the contract amount, through structural hole analysis considering the EPC and PMC model, the aggregate constraint list is obtained, 2D network diagram and 3D network diagram are shown. According to the aggregate constraint value, the EPC contractor with the minimum aggregate constraint value and the project management company with the minimum aggregate constraint value are the critical agent in EPC and PMC model. By analyzing the complex network comprising different models of industrial projects, it is concluded that the characteristics of the agent maintain an advantage in competition, the coordination mechanism of the integration of agent interests, and multi-agent relations are considered to solve the multi-agent coordination problem in major industrial projects.

scholarly journals Design of Complex Engineered Systems Using Multi-Agent Coordination

2017 ◽  
Vol 18 (1) ◽  
Author(s):  
Nicolás F. Soria Zurita ◽  
Mitchell K. Colby ◽  
Irem Y. Tumer ◽  
Christopher Hoyle ◽  
Kagan Tumer
Keyword(s):  
Autonomous Agents ◽  
System Level ◽  
Coordination Problem ◽  
Design Decisions ◽  
Formula Sae ◽  
Complex Engineered Systems ◽  
Trade Offs ◽  
Potential System ◽  
Multi Agent ◽  
Agent Coordination

In complex engineering systems, complexity may arise by design, or as a by-product of the system's operation. In either case, the cause of complexity is the same: the unpredictable manner in which interactions among components modify system behavior. Traditionally, two different approaches are used to handle such complexity: (i) a centralized design approach where the impacts of all potential system states and behaviors resulting from design decisions must be accurately modeled and (ii) an approach based on externally legislating design decisions, which avoid such difficulties, but at the cost of expensive external mechanisms to determine trade-offs among competing design decisions. Our approach is a hybrid of the two approaches, providing a method in which decisions can be reconciled without the need for either detailed interaction models or external mechanisms. A key insight of this approach is that complex system design, undertaken with respect to a variety of design objectives, is fundamentally similar to the multi-agent coordination problem, where component decisions and their interactions lead to global behavior. The results of this paper demonstrate that a team of autonomous agents using a cooperative coevolutionary algorithm (CCEA) can effectively design a complex engineered system. This paper uses a system model of a Formula SAE racing vehicle to illustrate and simulate the methods and potential results. By designing complex systems with a multi-agent coordination approach, a design methodology can be developed to reduce design uncertainty and provide mechanisms through which the system level impact of decisions can be estimated without explicitly modeling such interactions.

Multi-Agent Applied Research in Agile Supply Chain

2013 ◽  
Vol 712-715 ◽  
pp. 3059-3062
Author(s):  
Jin Peng Tang ◽  
Ling Lin Li
Keyword(s):  
Supply Chain ◽  
System Reliability ◽  
Intelligent Agents ◽  
Applied Research ◽  
Coordination Mechanism ◽  
Supply Chain System ◽  
Agile Supply Chain ◽  
Multi Agent ◽  
Agent Coordination ◽  
The Competitiveness Of Enterprises

Introduced intelligent agents to agile supply chain, designed multi-agent coordination mechanism for agents, then proposed agile supply chain based on multi-agent system. This mechanism is applied to a specific enterprise. Multi-Agent strengthens the agile supply chain system reliability, flexibility and scalability, and improves the competitiveness of enterprises.

scholarly journals Improving Multi-agent Coordination by Learning to Estimate Contention

2021 ◽  
Author(s):  
Panayiotis Danassis ◽  
Florian Wiedemair ◽  
Boi Faltings
Keyword(s):  
Large Scale ◽  
Learning Algorithm ◽  
Coordination Mechanism ◽  
Large Scale Systems ◽  
Fast Learning ◽  
Agent Learning ◽  
Meeting Scheduling ◽  
Multi Agent ◽  
Device Deployment ◽  
Agent Coordination

We present a multi-agent learning algorithm, ALMA-Learning, for efficient and fair allocations in large-scale systems. We circumvent the traditional pitfalls of multi-agent learning (e.g., the moving target problem, the curse of dimensionality, or the need for mutually consistent actions) by relying on the ALMA heuristic as a coordination mechanism for each stage game. ALMA-Learning is decentralized, observes only own action/reward pairs, requires no inter-agent communication, and achieves near-optimal (<5% loss) and fair coordination in a variety of synthetic scenarios and a real-world meeting scheduling problem. The lightweight nature and fast learning constitute ALMA-Learning ideal for on-device deployment.

Integrated Multi-Agent Coordination

2010 ◽  
pp. 41-63
Author(s):  
Wei Chen ◽  
Keith S. Decker
Keyword(s):  
System Level ◽  
Multi Agent Systems ◽  
Coordination Problem ◽  
Planning And Scheduling ◽  
Planning Approach ◽  
Multi Agent ◽  
Task Networks ◽  
Definition Of ◽  
Agent Coordination ◽  
Task Structures

Planning and scheduling have been a key topic in both Operations Research and Multi-Agent Systems. Most approaches are concentrated at an abstract system level on developing interaction protocols to be imposed on agents. There has been less concern about how the internal task structures of individual agents affect these higher-level coordination behaviors. Collaborative multi-agent planning addresses problems like uncertainty in plan outcomes, anticipating likely contingencies, and evaluating how agent actions achieve worth-oriented goals. This article presents extensions and restrictions, called extended hierarchical task networks (EHTN), to the traditional plan and schedule representations that allow the formal definition of an integrated multi-agent coordination problem. This chapter discusses open issues in multi-agent coordination (e.g. what to coordinate among agents, how much information to be exchanged, how to evaluate a planning approach) and proposes a general solution towards successful distributed goal achievement by analyzing the task structures of participating agents.

A parametric family of Massey-type methods: inference, prediction, and sensitivity

2020 ◽  
Vol 16 (3) ◽  
pp. 255-269
Author(s):  
Enrico Bozzo ◽  
Paolo Vidoni ◽  
Massimo Franceschet
Keyword(s):  
Quantitative Analysis ◽  
Control Theory ◽  
Dynamic Systems ◽  
Parametric Family ◽  
Time Varying ◽  
Multi Agent ◽  
Key Features ◽  
The Stability ◽  
Agent Coordination ◽  
Time Aware

AbstractWe study the stability of a time-aware version of the popular Massey method, previously introduced by Franceschet, M., E. Bozzo, and P. Vidoni. 2017. “The Temporalized Massey’s Method.” Journal of Quantitative Analysis in Sports 13: 37–48, for rating teams in sport competitions. To this end, we embed the temporal Massey method in the theory of time-varying averaging algorithms, which are dynamic systems mainly used in control theory for multi-agent coordination. We also introduce a parametric family of Massey-type methods and show that the original and time-aware Massey versions are, in some sense, particular instances of it. Finally, we discuss the key features of this general family of rating procedures, focusing on inferential and predictive issues and on sensitivity to upsets and modifications of the schedule.

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