Multiagent Systems Without Agents — Mirror-Holons for the Compilation and Enactment of Communication Structures

2005 ◽  
pp. 263-288 ◽  
Author(s):  
Matthias Nickles ◽  
Gerhard Weiß
Keyword(s):  
Multiagent Systems ◽  
Communication Structures

Co-evolution of Hetero Multiagent Systems using Genetic Network Programming.

2003 ◽  
Vol 123 (3) ◽  
pp. 544-551 ◽  
Author(s):  
Kotaro Hirasawa ◽  
Masafumi Okubo ◽  
Jinglu Hu ◽  
Junichi Murata ◽  
Yuko Matsuya
Keyword(s):  
Multiagent Systems ◽  
Genetic Network ◽  
Network Programming ◽  
Genetic Network Programming

scholarly journals Partial Component Consensus of Discrete-Time Multiagent Systems

2019 ◽  
Vol 2019 ◽  
pp. 1-5
Author(s):  
Wenjun Hu ◽  
Gang Zhang ◽  
Zhongjun Ma ◽  
Binbin Wu
Keyword(s):  
Multiagent Systems ◽  
Discrete Time ◽  
Matrix Theory ◽  
Pinning Control ◽  
Directed Network ◽  
Strong Function ◽  
Partial Stability ◽  
Partial Component ◽  
The Matrix ◽  
Error System

The multiagent system has the advantages of simple structure, strong function, and cost saving, which has received wide attention from different fields. Consensus is the most basic problem in multiagent systems. In this paper, firstly, the problem of partial component consensus in the first-order linear discrete-time multiagent systems with the directed network topology is discussed. Via designing an appropriate pinning control protocol, the corresponding error system is analyzed by using the matrix theory and the partial stability theory. Secondly, a sufficient condition is given to realize partial component consensus in multiagent systems. Finally, the numerical simulations are given to illustrate the theoretical results.

Energy-Constraint Formation for Multiagent Systems With Switching Interaction Topologies

2020 ◽  
Vol 67 (7) ◽  
pp. 2442-2454 ◽  
Author(s):  
Jianxiang Xi ◽  
Le Wang ◽  
Jianfei Zheng ◽  
Xiaojun Yang
Keyword(s):  
Multiagent Systems ◽  
Energy Constraint

scholarly journals Teamwork in a pandemic: insights from management research

BMJ Leader ◽  
2020 ◽  
Vol 4 (2) ◽  
pp. 53-56 ◽  
Author(s):  
Anna T Mayo
Keyword(s):  
Healthcare Professionals ◽  
Management Research ◽  
Effective Response ◽  
Communication Structures ◽  
Organisational Research

BackgroundAmidst the unprecedented outbreak of COVID-19, it is both critical and increasingly difficult for healthcare professionals to engage in the teamwork that will underlie an effective response to the pandemic. The simultaneous need for and challenge to teamwork, though, is not unique to healthcare.ResultsDrawing on management and organisational research conducted in healthcare as well as other industries, this article offers an overview of key, and robust, findings that highlight both what teamwork looks like and how to achieve it. I focus on two aspects of teamwork (the coordination of expertise and communication), and I review how leaders can jumpstart them by leveraging mechanisms including framing the work, using communication structures and engaging in leader inclusiveness.

Team Communication Patterns in Critical Situations

2021 ◽  
pp. 155534342098665
Author(s):  
Floris van den Oever ◽  
Jan Maarten Schraagen
Keyword(s):  
Information Seeking ◽  
Communication Patterns ◽  
Team Communication ◽  
Communication Structures ◽  
Communication Processes ◽  
Event Model ◽  
Or Team ◽  
Short Time ◽  
Time Frames ◽  
Critical Situations

Teams operating in time-pressured, dynamic environments frequently need to cope with critical situations varying in complexity and hazard. To cope with critical situations, teams may have to adapt their communication processes. Adaptation of team communication processes has been studied mostly at short time frames (minutes). Literature on adapting communication at longer time frames is limited (hours, relative to minutes). We used the relational event model to compare team communication in critical and noncritical situations of pediatric cardiac surgeries and Apollo 13 flight director’s voice loops. Teams showed some flattening of communication structures in critical situations. Both teams maintained institutional roles and displayed closed-loop and information-seeking communication. Communication patterns may change further with increasing criticality. The exact way teams adapt to critical situations may differ depending on team, team size and situation. Findings may inform team training procedures or team structure development.

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