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Solving the Multiagent Selection and Scheduling Problem

James C. Boerkoel Jr.
2011 International Joint Conference on Artificial Intelligence  
I describe this partitioning in much greater detail for the Multiagent Simple Temporal Problem (MaSTP) and use it to prove important privacy properties for my algorithms and empirically demonstrate how  ...  Informally, a decoupling (e.g., a temporal decoupling [Hunsberger, 2002] ) is defined in terms of locally independent sets of solutions that, when combined, form a solution to the original multiagent  ... 
doi:10.5591/978-1-57735-516-8/ijcai11-464 dblp:conf/ijcai/Boerkoel11 fatcat:5542tl4e6bai5j6c74l3mznuti

Introduction to planning in multiagent systems

Mathijs de Weerdt, Brad Clement, Mathijs de Weerdt, Brad Clement
2009 Multiagent and Grid Systems  
To place these in a context, this introduction gives a brief overview of multiagent planning problems, and most multiagent planning techniques.  ...  In most multiagent systems planning on forehand can help to seriously improve the efficiency of executing actions.  ...  Acknowledgments This work is partially supported by the Technology Foundation STW, applied science division of NWO, and the Ministry of Economic Affairs of the Netherlands.  ... 
doi:10.3233/mgs-2009-0133 fatcat:mym5kz5o3bczparhf6hmdmzyhm

Distributing the control of a temporal network among multiple agents

Luke Hunsberger
2003 Proceedings of the second international joint conference on Autonomous agents and multiagent systems - AAMAS '03  
Simple Temporal Networks (STNs) can be used to concisely represent temporal constraints; however, most algorithms for manipulating such networks presume that a single agent controls the network.  ...  Third, it construes an existing algorithm for partitioning temporal networks into independent subnetworks as an algorithm for distributing control of a temporal network among multiple agents, each agent  ...  Thus, a relative temporal decoupling can serve as the basis for distributing the control of a temporal network among a group of agents.  ... 
doi:10.1145/860575.860720 dblp:conf/atal/Hunsberger03 fatcat:7syqohmve5a5bixvsupbhq6rfy

A Publish-Subscribe based Architecture for Testing Multiagent Systems

Nathalia Nascimento, Carlos Juliano Viana, Arndt Staa, Carlos Lucena
2017 Proceedings of the 29th International Conference on Software Engineering and Knowledge Engineering  
In addition, a set of different techniques has been integrated into multiagent applications.  ...  One reason is the lack of procedures guaranteeing that multiagent systems would behave as desired.  ...  Acknowledgements This work has been supported by the Laboratory of Software Engineering (LES) at PUC-Rio.  ... 
doi:10.18293/seke2017-050 dblp:conf/seke/NascimentoVSL17 fatcat:kp3ukxj7gzge5aps43ghslvzoi

Implications of mass customisation on business information systems

Andreas J. Dietrich, Stefan Kirn, Ingo J. Timm
2006 International Journal of Mass Customisation  
This paper analyses the impact of mass customisation on future BIS, with focus on globally distributed value chains.  ...  Using a case study from the footwear industry, we present an innovative multiagent approach, which uses information represented with explicit machine-understandable semantics for coordinating and negotiating  ...  To address this problem and enable flexible and temporal logistics networks, we propose an adaptive cooperative multiagent approach as introduced in Section 5.  ... 
doi:10.1504/ijmassc.2006.008623 fatcat:zpznj7ohvzfj7p7k3mi3gpm3by

Distributing the control of a temporal network among multiple agents

Luke Hunsberger
2003 Proceedings of the second international joint conference on Autonomous agents and multiagent systems - AAMAS '03  
Simple Temporal Networks (STNs) can be used to concisely represent temporal constraints; however, most algorithms for manipulating such networks presume that a single agent controls the network.  ...  Third, it construes an existing algorithm for partitioning temporal networks into independent subnetworks as an algorithm for distributing control of a temporal network among multiple agents, each agent  ...  Thus, a relative temporal decoupling can serve as the basis for distributing the control of a temporal network among a group of agents.  ... 
doi:10.1145/860718.860720 fatcat:ny2u4ebp2feijdk7av6rrjcy5i

Time-Delay Systems: Modeling, Analysis, Estimation, Control, and Synchronization

Olfa Boubaker, Valentina E. Balas, Abdellah Benzaouia, Mohamed Chaabane, Magdi S. Mahmoud, Quanmin Zhu
2017 Mathematical Problems in Engineering  
Stability analysis and robust control of such systems are then of theoretical and practical importance.  ...  The subject of time-delay systems is a rather old research topic dating back to the works of Euler-Bernoulli in the XVIII century.  ...  Acknowledgments The editors would like to express their gratefulness to all authors of the special issue for their valuable contributions and to all reviewers for their helpful and professional efforts  ... 
doi:10.1155/2017/1398904 fatcat:biligres3fcqjevloxlvolmjvq

An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning [article]

Tianpei Yang, Weixun Wang, Hongyao Tang, Jianye Hao, Zhaopeng Meng, Hangyu Mao, Dong Li, Wulong Liu, Chengwei Zhang, Yujing Hu, Yingfeng Chen, Changjie Fan
2021 arXiv   pre-print
Similarly, Multiagent RL (MARL) can also be accelerated if agents can share knowledge with each other. However, it remains a problem of how an agent should learn from other agents.  ...  MAPTF learns which agent's policy is the best to reuse for each agent and when to terminate it by modeling multiagent policy transfer as the option learning problem.  ...  Acknowledgements The work is supported by the National Natural Science Foundation of China (Grant No.: U1836214) and the new Generation of Artificial Intelligence Science and Technology Major Project of  ... 
arXiv:2002.08030v4 fatcat:bsoczfihf5fwldpe3cuwdzawmu

Toward a Science of Cyber–Physical System Integration

J. Sztipanovits, X. Koutsoukos, G. Karsai, N. Kottenstette, P. Antsaklis, V. Gupta, B. Goodwine, J. Baras, Shige Wang
2012 Proceedings of the IEEE  
Open problems in the area are also discussed, including the extension of the theory of compositional design to guarantee properties beyond stability, such as safety and performance.  ...  Specifically, the paper presents a passivity-based design approach that decouples stability from timing uncertainties caused by networking and computation.  ...  Yu that have contributed to various aspects of this work.  ... 
doi:10.1109/jproc.2011.2161529 fatcat:66n4tnsoh5hirknyaef754dq2y

Engineering Multi-Agent Systems (Dagstuhl Seminar 12342)

Jürgen Dix, Koen V. Hindriks, Brian Logan, Wayne Wobcke, Marc Herbstritt
2012 Dagstuhl Reports  
of frameworks for coordination and organisation of multiagent systems.  ...  This report documents the programme and outcomes of Dagstuhl Seminar 12342 "Engineering Multiagent Systems".  ...  We applie some ideas derived from temporal decoupling, but also from classical OR to solve their problems.  ... 
doi:10.4230/dagrep.2.8.74 dblp:journals/dagstuhl-reports/DixHLW12 fatcat:cn2i425enzfohjipslz2aqmen4

2019 Index IEEE Transactions on Automatic Control Vol. 64

2019 IEEE Transactions on Automatic Control  
., +, TAC Sept. 2019 3748-3755 A Simple Approach to Distributed Observer Design for Linear Systems.  ...  ., +, TAC March 2019 1250-1256 Block Decoupling of Boolean Control Networks.  ... 
doi:10.1109/tac.2020.2967132 fatcat:o2hd2t4jz5fbpkcemjt5aj7xrm

A Survey and Critique of Multiagent Deep Reinforcement Learning [article]

Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor
2019 arXiv   pre-print
The primary goal of this article is to provide a clear overview of current multiagent deep reinforcement learning (MDRL) literature.  ...  We expect this article will help unify and motivate future research to take advantage of the abundant literature that exists (e.g., RL and MAL) in a joint effort to promote fruitful research in the multiagent  ...  and three anonymous reviewers whose comments and suggestions increased the quality of this work. 56 The title of this work makes a clear reference to previous seminal MAL works [2, 354] .  ... 
arXiv:1810.05587v2 fatcat:h4ei5zx2xfa7xocktlefjrvef4

Towards Data- and Norm-Aware Multiagent Systems [chapter]

Matteo Baldoni, Cristina Baroglio, Diego Calvanese, Roberto Micalizio, Marco Montali
2016 Lecture Notes in Computer Science  
We show that multiagent systems are a good candidate for the development of a data-and norm-aware programming, tracing directions for the realization of multiagent systems that are data and norm-aware.  ...  We recall the key abstractions and models on which the major approaches to software specification rely, using Meyer's forces of computation as dimensions of comparison.  ...  This work was developed during the sabbatical year that Matteo Baldoni and Cristina Baroglio spent at the Free University of Bolzano-Bozen.  ... 
doi:10.1007/978-3-319-50983-9_2 fatcat:3g2mpxfdv5f2pk7igmiot7kvxy

Distributed management of flexible times schedules

Stephen F. Smith, Anthony Gallagher, Terry Zimmerman
2007 Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems - AAMAS '07  
We consider the problem of managing schedules in an uncertain, distributed environment.  ...  We describe an agent architecture for solving this problem that couples two basic mechanisms: (1) a "flexible times" representation of the agent's schedule (using a Simple Temporal Network) and (2) an  ...  times are encoded in an underlying Simple Temporal Network (STN) [3] .  ... 
doi:10.1145/1329125.1329215 dblp:conf/atal/SmithGZ07 fatcat:qehwjerlmjhi5bf5lorroylony

UPDeT: Universal Multi-agent Reinforcement Learning via Policy Decoupling with Transformers [article]

Siyi Hu, Fengda Zhu, Xiaojun Chang, Xiaodan Liang
2021 arXiv   pre-print
Unlike previous RNN-based models, we utilize a transformer-based model to generate a flexible policy by decoupling the policy distribution from the intertwined input observation with an importance weight  ...  measured by the merits of the self-attention mechanism.  ...  The global temporal unit is simple but efficient, and provides us with robust performance in most scenarios. 2) Individual temporal unit treats the hidden state as the inner part of each entity.  ... 
arXiv:2101.08001v3 fatcat:hmrts3ukm5htfbu7hnrddr44pa
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