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Multiagent Meta-level Control for a Network of Weather Radars

Shanjun Cheng, Anita Raja, Victor Lesser
2010 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology  
We develop a reinforcement learning based mechanism for multiagent meta-level control that facilitates the metalevel control component of each agent to learn policies in a decentralized fashion that (a  ...  Empirical results show that adaptive multiagent meta-level control significantly improves the performance of the tornado tracking network for a variety of weather scenarios.  ...  This shows that adaptive meta-level control allows for effective use of the heartbeat i.e. by ensuring that meta-level control parameters are coordinated so that negotiations converge quickly, more time  ... 
doi:10.1109/wi-iat.2010.97 dblp:conf/iat/ChengRL10 fatcat:b6so65preve7nc3ejzlgirketa

Agent-Oriented software engineering report on the 4th AOSE workshop (AOSE 2003)

Paolo Giorgini
2003 SIGMOD record  
Acknowledgements Among all, I would like to thank the other two organazers of the workshop, Jörg Müller and James Odell, for their organizative effort.  ...  They offer higher level abstractions and mechanisms which address issues such as knowledge representation and reasoning, communication, coordination, cooperation among heterogeneous and autonomous parties  ...  ., demonstrated how UML can be exploited and extended to model the deployment of a multiagent system at the agent level.  ... 
doi:10.1145/959060.959084 fatcat:zp7q7d6ks5g67hqluiprqpvbci

PROTOCOL: Multiagency programmes with police as a partner for reducing radicalisation to violence

Lorraine Mazerolle, Adrian Cherney, Elizabeth Eggins, Angela Higginson, Lorelei Hine, Emma Belton
2020 Campbell Systematic Reviews  
For example, multiagency responses that have poor levels of coordination and communication could lead to cases falling through the cracks where no one agency responds under the misguided assumption that  ...  matched) • Unmatched control group designs without preintervention measures where the control group has face validity • Unmatched control group designs with prepost intervention measures which allow for  ... 
doi:10.1002/cl2.1110 fatcat:7jnxmwgzkra55h3d44veebqq3y

Artifacts for time-aware agents

Cédric Dinont, Philippe Mathieu, Emmanuel Druon, Patrick Taillibert
2006 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems - AAMAS '06  
Control of computational artifacts is done thanks to a set of operating instructions dynamically computed by the coordination artifact.  ...  We introduce computational artifacts for long duration tasks and a coordination artifact for managing the CPU agenda and acting as an intermediary when agents negotiate CPU power.  ...  [1] to this problem uses two levels: a reactive meta-level that makes the agent aware of its environment and that controls the base level, which is anytime based.  ... 
doi:10.1145/1160633.1160740 dblp:conf/atal/DinontMDT06 fatcat:zld4uywcprecfckvd7klkycv2m

Guest Editorial Special Issue on Time-Sensitive Networks for Unmanned Aircraft Systems

Hwangnam Kim, Yong Wun Jung, Honghai Zhang
2021 Sensors  
control in time-sensitive networks of unmanned aircraft systems.  ...  In this special issue, we explored swarming, network management, routing for multipath, communications, service applications, detection and identification, computation offloading, and cellular network-based  ...  [5] proposed a hybrid meta-heuristic algorithm that merges the particle swarm optimization (PSO) with the multiagent system (MAS).  ... 
doi:10.3390/s21186132 pmid:34577339 fatcat:rjxlxkrkrrhtxaem37v4os5x2a

Towards a cognitive approach to human–machine cooperation in dynamic situations

JEAN-MICHEL HOC
2001 International Journal of Human-Computer Studies  
This review of the literature is a step towards a theoretical approach that could be relevant to evaluate cooperation and to design assistance in diverse domains such as air tra$c control or aircraft piloting  ...  For example, in air tra$c control (ATC), the planning controller (PC), in charge of inter-sector coordination, will decrease the exit level of an aircraft to enable the radar controller (RC) to solve a  ...  META-LEVEL The pre"x &&meta'' is taken here in a weaker sense than that which stands for metaknowledge.  ... 
doi:10.1006/ijhc.2000.0454 fatcat:by6oomulard67erb3ts67je7hi

17. Scaling-up Human Control for Large UAV Teams [chapter]

M LEWIS, J POLVICHAI, K SYCARA, P SCERRI
2006 Advances in Human Performance and Cognitive Engineering Research  
Figure 3 . 3 Meta-reasoning decisions and number of targetsParametric Control for large teamsDue to the high computational complexity of coordination, critical coordination algorithms typically use heuristics  ...  A coordination configuration specifies parameter values for a team's coordination algorithms.  ... 
doi:10.1016/s1479-3601(05)07017-7 fatcat:2orqa3d3znedfkqnghx2tlr63a

Multiagency programs with police as a partner for reducing radicalisation to violence

Lorraine Mazerolle, Adrian Cherney, Elizabeth Eggins, Lorelei Hine, Angela Higginson
2021 Campbell Systematic Reviews  
Police-involved multiagency partnerships may disrupt pathways from radicalisation to violence by addressing multiple risk factors in a coordinated manner. Objectives: 1.  ...  Systematic screening identified 181 studies, of which five were eligible for Objective 1 and 26 for Objective 2.  ...  For example, multiagency responses that have poor levels of coordination and communication could lead to cases falling through the cracks where no one agency responds under the misguided assumption that  ... 
doi:10.1002/cl2.1162 fatcat:heeaq2rojjb5raek44caxazqzm

Adaptive decision-making frameworks for dynamic multi-agent organizational change

Cheryl Martin, K. Suzanne Barber
2006 Autonomous Agents and Multi-Agent Systems  
manipulation of these DMF characteristics at run-time as variables controlling agent behavior.  ...  The presented evaluation empirically shows that, for at least one multi-agent system, there is no one best DMF for multiple agents across run-time situational changes.  ...  Acknowledgements This research was supported in part by the Texas Higher Education Coordinating Board (no 003658452) and a National Science Foundation Graduate Research Fellowship.  ... 
doi:10.1007/s10458-006-0009-8 fatcat:cxseq2t5tzbwba7gjttvgsdevq

Multi Agent Resource Allocation: a Comparison of Five Negotiation Protocols

Daniela Briola, Viviana Mascardi
2011 Workshop From Objects to Agents  
This paper describes five systems that exploit negotiation strategies to solve multiagent resource allocation problems.  ...  Considerations on how extending one of the analyzed systems in order to move a concrete step towards the realization of an integrated platform for developing negotiation protocols are also provided in  ...  We thank Riccardo Caccia from Ansaldo STS for his help and support during all the stages of FYPA development.  ... 
dblp:conf/woa/BriolaM11a fatcat:a4nltljxvbdqvl62krh7lvg4pu

Work-Environment Analysis: Environment Centric Multi-agent Simulation for Design of Socio-technical Systems [chapter]

Anuj P. Shah, Amy R. Pritchett
2005 Lecture Notes in Computer Science  
Generative models are employed to generate agents having subjective views of the environment, which can be employed for computational predictive analysis of the system.  ...  This paper introduces a new approach to environmental modeling and system simulation for design and analysis of large-scale and open multi-agent systems, specifically socio-technical systems.  ...  For example, in air traffic control, a controller is constrained from applying radar separation between two aircraft as specified in Table 1 (summarized from [11] ).  ... 
doi:10.1007/978-3-540-32243-6_6 fatcat:2z6kkc5lnzafbe2qhhg7wi3ave

A Review of the Self-Adaptive Traffic Signal Control System Based on Future Traffic Environment

Yizhe Wang, Xiaoguang Yang, Hailun Liang, Yangdong Liu
2018 Journal of Advanced Transportation  
Finally, the article concluded that signal control based on multiagent reinforcement learning is a kind of closed-loop feedback adaptive control method, which outperforms many counterparts in terms of  ...  The self-adaptive traffic signal control system serves as an effective measure for relieving urban traffic congestion.  ...  El-Tantawy et al. proposed a multiagent coordinated RL-TSC control system called MARLIN-ATSC. This is a model-free system based on the -Learning algorithm [70] .  ... 
doi:10.1155/2018/1096123 fatcat:ynkoxgm6lnflrpliafo6xf6opy

2020 Index IEEE Transactions on Systems, Man, and Cybernetics: Systems Vol. 50

2020 IEEE Transactions on Systems, Man & Cybernetics. Systems  
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  Yang, Z., +, TSMC Feb. 2020 539-549 Meta data A UAV Video Dataset for Mosaicking and Change Detection From Low-Al-titude Flights.  ...  ., +, TSMC April 2020 1486-1498 Feasibility Study and Conceptual Design of Missile-Borne Synthetic Aper-ture Radar.  ... 
doi:10.1109/tsmc.2021.3054492 fatcat:zartzom6xvdpbbnkcw7xnsbeqy

Sensible Agent Testbed Infrastructure for Experimentation [chapter]

K. S. Barber, D. N. Lam, C. E. Martin, R. M. McKay
2001 Lecture Notes in Computer Science  
The AP and AR use communication for inter-agent coordination, while the PM communicates to share knowledge.  ...  In addition to providing a platform for experimentation, the Testbed promotes modularity and well-defined interfaces for the interactions among Sensible Agents and their internal modules.  ...  Finally, this interface allows an experimenter to have a finer degree of control over the autonomy levels that are initially assigned to goals.  ... 
doi:10.1007/3-540-47772-1_4 fatcat:6nqw3vjwuzeovlxex3q2glgnky

A Survey of Multi-Agent Cross Domain Cooperative Perception

Zhongpan Zhu, Qiwei Du, Zhipeng Wang, Gang Li
2022 Electronics  
Intelligent unmanned systems for ground, sea, aviation, and aerospace application are important research directions for the new generation of artificial intelligence in China.  ...  Based on the current domestic and overseas development status of unmanned systems for ground, sea, aviation, and aerospace application, this paper reviewed the theoretical problems and research trends  ...  and vehicle-vehicle coordination, which is also a challenge for multi-level collaborative perception [75, 76] .  ... 
doi:10.3390/electronics11071091 fatcat:wwgq4r4cyvgbvflgy6etfrusxu
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