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A Tutorial on Optimization for Multi-Agent Systems
2013
Computer journal
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A tutorial on optimisation for multi-agent systems 5
2.1.3. ...
A tutorial on optimisation for multi-agent systems 21
auctions. ...
doi:10.1093/comjnl/bxt146
fatcat:tvebsldktvb2poo7zbly7doone
How to Coordinate Decisions at Large Scale? A Hands-on Tutorial on Collective Learning for Smart Cities and Beyond
2021
2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C)
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You are also encouraged to bring in your own multi-agent optimization problem to explore a potential solution using collective learning. ...
This 1.5-hour tutorial will provide an introduction to the theory and practice of multi-agent collective learning for coordinating distributed decisions at large scale. ...
coordinating decisions in large-scale multi-agent systems. ...
doi:10.1109/acsos-c52956.2021.00084
fatcat:kjejlwdl6zecjoxwndrsbm4fm4
Bandit algorithms in recommender systems
2019
Proceedings of the 13th ACM Conference on Recommender Systems - RecSys '19
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The multi-armed bandit problem models an agent that simultaneously attempts to acquire new knowledge (exploration) and optimize his decisions based on existing knowledge (exploitation). ...
systems/applications. ...
] • system optimization [? ? ] ...
doi:10.1145/3298689.3346956
dblp:conf/recsys/Glowacka19
fatcat:chinqqqxznczhbx45uuzgcrqye
Multi - a gent System Learning Support Software with Fighting Games
2014
International Journal of Energy Information and Communications
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This paper describes a prototype system in which users can learn structures and concepts of multi-agent systems without studying any agent programming language. ...
Beginners may find it hard to learn multi-agent systems because they need to study the structures and concepts of agents as well as an agent programming language. ...
The results demonstrate that programmers can learn simple structures and concepts of agents using ATLS. Future challenges are to improve the tutorials for multi-agent systems and the interface. ...
doi:10.14257/ijeic.2014.5.5.02
fatcat:bsd6htzi5bartm3mlijhlkr3na
Neural Approaches to Conversational AI
2018
Proceedings of ACL 2018, Tutorial Abstracts
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We group conversational systems into three categories: (1) question answering agents, (2) taskoriented dialogue agents, and (3) social bots. ...
For each category, we present a review of state-of-the-art neural approaches, draw the connection between neural approaches and traditional symbolic approaches, and discuss the progress we have made and ...
We also review different dialogue policies for multi-turn KB-QA agents. We then discuss neural text-QA agents. ...
doi:10.18653/v1/p18-5002
dblp:conf/acl/GaoGL18
fatcat:7llxwuntafh4fcjj4ia3tm642a
Convergence Rate of Distributed Averaging Dynamics and Optimization in Networks
2015
Foundations and Trends® in Systems and Control
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could be used within multi-agent setting for distributed optimization over networks in a general setting. ...
A distributed sim-
plex algorithm for degenerate linear programs and multi-agent assignments.
Automatica, 48(9):2298-2304, 2012.
J.V. Burke and M.C. Ferris. ...
doi:10.1561/2600000004
fatcat:gnlvsigy75fy7fxgu4sy2jngra
An ANN-Based Classification System for Automobile Parts with Different Shapes
[chapter]
2006
Lecture Notes in Computer Science
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In this tutorial, the design of a Multi-Agent Classifier System (MACS), which is developed based on the Multi-Agent System (MAS) methodology, will be presented. ...
Subsequently, a decision for the action to be taken with respect to the patterns received is made. However, recognizing and classifying patterns is a non-trivial task for computerized systems. ...
Summary to be announced Prof Dr S J Elliot, Professor and Director Signal Processing & Control Group, Email: sham@fke.utm.my
TUTORIAL 3
Intelligent Multi-Agent Systems (i-MARS)
Institute of Sound ...
doi:10.1007/11816171_148
fatcat:yz6qc6vgfney3hl42dkg43lx4a
On the Control of Multi-Agent Systems: A Survey
2019
Foundations and Trends® in Systems and Control
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Nedic and A. Ozdaglar, "Distributed subgradient methods for multi-
agent optimization," IEEE Transactions on Automatic Control, vol. 54,
no. 1, pp. 48-61, 2009.
[59] A. Nedic, A. Ozdaglar, and P. ...
Springer Encyclopedia and Wiley Encyclopedia publish a series of tutorial papers on multi-agent systems (e.g., [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] [39] [40] [41] [42] [43] [44] [58, 59 ...
doi:10.1561/2600000019
fatcat:uij76tdwtzc65dkxjmguxpkeve
SSCI 2021
2021
IEEE Computational Intelligence Magazine
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(IEEE ICES) Immune Computation (IEEE IComputation) Intelligent Agents (IEEE IA) Multi-agent System Coordination and Optimization (IEEE MASCO) Model-Based Evolutionary Algorithms (IEEE MBEA) Multicriteria ...
For more information visit http://attend.ieee.org/ssci- ...
A tutorial proposal should include title, short introduction to the topic, an outline of the tutorial, length of the tutorial, level and names, affilia-
Call for Special Sessions Special session proposals ...
doi:10.1109/mci.2021.3066706
fatcat:qene4ibea5fntne77wtgwdbxwm
A Performance Evaluation of a Multi-Agent Mobile Learning System
2016
International Journal of Interactive Mobile Technologies
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This work shows the implementation and evaluation of a model for intelligent mobile learning system (IMLS) using a multi-agent system (MAS), such as the Java Agent Development Environment (JADE) framework ...
One of such applications is in the area of learning, called mobile learning (M-learning). ...
systems [23] , the use of artificial immunization and multi-agent technology to provide a better search capability for high-dimensional function optimization [24] , integration of backchannels into ...
doi:10.3991/ijim.v10i2.4873
fatcat:gxqpvucgtvfirbr5zcu5clchyq
Table of Contents
2022
IEEE Transactions on Circuits and Systems - II - Express Briefs
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Vadivel 2897 Lyapunov Redesign-Based Optimal Consensus Control for Multi-Agent Systems With Uncertain Dynamics . . . . . . . . . . . . ...
Wang 2857 Adaptive Fuzzy Control for Multi-Agent Systems With Unknown Measurement Sensitivity via a Simplified Backstepping Approach . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ...
doi:10.1109/tcsii.2022.3172614
fatcat:7dnovuggvzf6vfepn4rcfctoba
IEEE SSCI 2021
2021
IEEE Computational Intelligence Magazine
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A tutorial proposal should include title, short introduction to the topic, an outline of the tutorial, length of the tutorial, level and names, affiliations, websites, and bios of presenters. ...
Call for Tutorials IEEE SSCI 2021 will feature tutorials covering fundamental and advanced topics in computational intelligence. ...
(IEEE ICES)
Immune Computation (IEEE IComputation)
Intelligent Agents (IEEE IA)
Multi-agent System Coordination and
Optimization (IEEE MASCO)
Model-Based Evolutionary Algorithms (IEEE
MBEA)
Multicriteria ...
doi:10.1109/mci.2021.3108312
fatcat:znydstqyqvb3fdwwbchc2a5bdm
A Tutorial on the Structure of Distributed Optimization Algorithms
[article]
2023
arXiv
pre-print
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We consider the distributed optimization problem for a multi-agent system. ...
Here, multiple agents cooperatively optimize an objective by sharing information through a communication network and performing computations. ...
In this tutorial, our main objectives are as follows: 1. Provide an overview of the distributed optimization problem for a multi-agent system. 2. ...
arXiv:2309.11393v1
fatcat:qddkx4kjanek3mpeeybsfgxrba
Adaptive Learning Environment System Based on Multi-event Driven Technology
2016
International Journal of Emerging Technologies in Learning (iJET)
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A multi agent system for adaptive learning environment is proposed in this paper. The system is composed of Open Agent Architecture and the Plan model. ...
Intelligent tutoring systems (ITSs) offer considerable flexibility in presentation of material and a greater ability to respond to idiosyncratic student needs. ...
The communication protocol provides the possibility for sending a message to one only agent (point-to point), or to a group agents (multi-cast), or to all the agents in the system (broadcast). ...
doi:10.3991/ijet.v11i11.6250
fatcat:zpntv274vfh5jmbbkvk6z7vcfq
Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled Wireless Networks: A Tutorial
[article]
2020
arXiv
pre-print
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In this context, this tutorial focuses on the role of DRL with an emphasis on deep Multi-Agent Reinforcement Learning (MARL) for AI-enabled 6G networks. ...
We expect this tutorial to stimulate more research endeavors to build scalable and decentralized systems based on MARL. ...
The work was supported by a Discovery Grant from the Natural Sciences and Engineering Research Council of Canada (NSERC). ...
arXiv:2011.03615v1
fatcat:zzbotslc3vczxmwf72y43k3ica
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