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Learning to Coordinate Using Commitment Sequences in Cooperative Multi-agent Systems
[chapter]
2005
Lecture Notes in Computer Science
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We report on an investigation of the learning of coordination in cooperative multiagent systems. ...
In previously published work (Kapetanakis and Kudenko, 2002) we have presented a reinforcement learning approach that converges to the optimal joint action even in scenarios with high miscoordination costs ...
We then introduce a common testbed for the study of learning coordination in cooperative multi-agent systems: stochastic cooperative games. ...
doi:10.1007/978-3-540-32274-0_7
fatcat:gfhni75q7beifkspgxyytsz7ze
Compendious Study of Interaction Protocols in Multiagent Systems
2018
International Journal of Engineering & Technology
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Multiagent systems have evolved from the field of Distributed Artificial Intelligence and require numerous agents to cooperate and coordinate to cope with goal search. ...
Agents in communication must be able to understand the language of communication and should also follow rules of interaction. ...
of learning algorithms for more complex structured multi-agent systems. ...
doi:10.14419/ijet.v7i3.8.15208
fatcat:eoyxnqe74jc4rj4ycj2heghnqy
A Review on Intelligent Agent Systems
2011
International journal of computer and communication technology
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Multi-agent system (MAS) is a common way of exploiting the potential power of agent by combining many agents in one system. ...
Each agent in a multivalent system has incomplete information and is in capable of solving entire problem on its own. Multi-agent system offers modularity. ...
Tools And Techinques: The mechanism used for learning tool, to make the agent more efficient in tasks that are often used. ...
doi:10.47893/ijcct.2011.1092
fatcat:z5le6pivyrg27l7pdlh3sqwmri
Agent-Based Systems for Manufacturing
2006
CIRP annals
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In the paper software agents and multi-agent systems are introduced and through a comprehensive survey, their potential manufacturing applications are outlined. ...
The new technologies met well the requirements in all domains of manufacturing where problems of uncertainty and temporal dynamics, information sharing and distributed operation, or coordination and cooperation ...
ACKNOWLEDGMENTS The authors wish to thank all the contributors for having sent material and/or helped to improve earlier versions of the paper: L. ...
doi:10.1016/j.cirp.2006.10.004
fatcat:l6vwhxy7yfcexgjzm3xapqhniq
Conceptual Design of Multi-agent System for Suramadu Bridge Structural Health Monitoring System
2015
TELKOMNIKA (Telecommunication Computing Electronics and Control)
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The multi-agent system is a promising approach to be implemented on intelligent and autonomous WSN, especially in the bridge structural health monitoring system. ...
In this approach agents are empowered to have several intelligent learning capabilities for structural monitoring, damage detection, and prediction. ...
These subsystems will be implemented using multi-agent systems described in Section 4 of this paper. ...
doi:10.12928/telkomnika.v13i3.1382
fatcat:icqjja4dkbcvldr73kihh2blhy
Multi-agent Deep Reinforcement Learning for Task Allocation in Dynamic Environment
2017
Proceedings of the 12th International Conference on Software Technologies
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We propose a new task allocation process using deep reinforcement learning that allows cooperating agents to act automatically and learn how to communicate with other neighboring agents to allocate tasks ...
The task allocation problem in a distributed environment is one of the most challenging problems in a multiagent system. ...
INTRODUCTION In an autonomous multi-agent system (MAS), agents can cooperate and complete hard tasks through task allocation. So they need to manage tasks unpredictably. ...
doi:10.5220/0006393400170026
dblp:conf/icsoft/NoureddineGA17
fatcat:dvlw55v46vhwxlpdj3x6syo63u
Coordination Mechanisms in Multi-Actor Systems
[chapter]
2006
Planning in Intelligent Systems
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Multi-actor systems have to do with issues of communication, cooperation and coordination. ...
In multi-actor systems, work is done based on an organization that results from processes of coordination, especially negotiation. ...
learning of the multi-actor system. ...
doi:10.1002/0471781266.ch5
fatcat:evwjubrq7rhhfb6gjjhv5aouai
Preference Communication in Multi-Objective Normal-Form Games
[article]
2021
arXiv
pre-print
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We study the problem of multiple agents learning concurrently in a multi-objective environment. Specifically, we consider two agents that repeatedly play a multi-objective normal-form game. ...
To aid agents in arriving at adequate solutions, we introduce four novel preference communication protocols for both cooperative as well as self-interested communication. ...
On the Value of Commitment. Autonomous Agents
and Multi-Agent Systems, 28(6):986–1016, November 2014. ...
arXiv:2111.09191v1
fatcat:uqtjh4hp3ncw3ltc7ejoncm35a
Heterogeneous Agent Cooperative Planning Based on Q-Learning
2021
Journal of clean energy technologies
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Heterogeneous rescue agent is used to assist agent in the scene. ...
In this paper, we present a model to achieve the collaboration of heterogeneous agent in the open-dynamic environment. ...
Research on agent collaboration based on reinforcement Learning includes the multi-crawler system of the Internet [12] , research on Q-learning algorithm's multi-agent planning [13] and multi-agent ...
doi:10.7763/ijcte.2021.v13.1284
fatcat:uevmze3syzd5ro3saxvwfobjhi
From Conditional Commitments to Generalized Media: On Means of Coordination Between Self-Governed Entities
[chapter]
2005
Lecture Notes in Computer Science
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The conceptual framework resulting from the considerations is applicable to coordination problems between human actors as well as to coordination problems between artificial agents in open multi-agent ...
In this paper, the motivating conditional self-commitment is conceived to be the basic mechanism to solve coordination problems of this kind. ...
I have tried to show how it may enhance our understanding of coordination problems between agents in open multi-agent systems and how it may help to identify impediments to coordination in open systems ...
doi:10.1007/11594116_12
fatcat:d2bqll5z4ffijcnnu6zpsvc6au
AEGIS: Agent oriented organisations
1995
Accounting Management and Information Technologies
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Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten ...
Acknowledgements This work has been funded in part through the DAAD Anglo-German Academic Research ...
A multi-agent system attempts to coordinate the agents' expertise, knowledge and plans in order to achieve a common purpose. ...
doi:10.1016/0959-8022(95)00009-x
fatcat:6cz52xkaprcedhvvkwnkmpnj7a
Teamwork Design Based on Petri Net Plans
[chapter]
2009
Lecture Notes in Computer Science
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The Joint Commitment theory is used as a guideline to present a general multi-robot Petri Net Plan for teamwork, that can be used to model a wide range of cooperative behaviors. ...
This paper presents a design of cooperative behaviors through Petri Net Plans, based on the principles provided by Cohen and Levesque's Joint Commitments Theory. ...
To this extent, we are currently developing a system for the establishment of commitments among the team members during the soccer games, using a task assignment algorithm based on utility functions. ...
doi:10.1007/978-3-642-02921-9_18
fatcat:ehc7t6c6xfeg5j47rffhs6y6f4
Meta-level Coordination for Solving Distributed Negotiation Chains in Semi-cooperative Multi-agent Systems
2012
Group Decision and Negotiation
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This work is aimed at semi-cooperative multi-agent systems, where each agent has its own goals and works to maximize its local utility; however, the performance of each individual agent is tightly related ...
to other agents' cooperation and the system's overall performance. ...
We see this exchange as feasible in semi-cooperative or fully cooperative multi-agent systems. ...
doi:10.1007/s10726-012-9287-5
fatcat:zgr5zsfs6rci7e73qoawbdzhjm
Emergent Multi-Agent Communication in the Deep Learning Era
[article]
2020
arXiv
pre-print
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The ability to cooperate through language is a defining feature of humans. ...
From an applied perspective, endowing deep networks with the ability to solve problems interactively by communicating with each other and with us should make them more flexible and useful in everyday life ...
All images that were not created by us or reprinted by permission as indicated in the captions are in the public domain. ...
arXiv:2006.02419v2
fatcat:rk7rmdewdfcxrgj4llrqww7cpi
A Control Agent Architecture for Cooperative Robotic Tasks
[chapter]
2011
Multi-Robot Systems, Trends and Development
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A robotics system is composed of robotors with different structure and functionality which use a communication protocol in order to achieve the coordination among them. ...
the aspects involved in the design of multi-robot systems, and on the other hand, to show their application to specific problems. ...
Acknowledgements This work is product of the projects Cooperative Agents ("Cooperación en Sistemas MultiAgentes Aplicada a Robótica Móvil" and "Robótica Cooperativa Basada en Agentes Heterogéneos Aplicada ...
doi:10.5772/13018
fatcat:m43kaumlzvhlhiy2qgdemadcne
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