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Adapt-Traf: An adaptive multiagent road traffic management system based on hybrid ant-hierarchical fuzzy model
2014
Transportation Research Part C: Emerging Technologies
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This paper proposes an adaptive multiagent system based on the ant colony behavior and the hierarchical fuzzy model. ...
The proposed system is implemented and simulated under a multiagent platform in order to discuss the improvement of the global road traffic quality in terms of time, fluidity and adaptivity. ...
Acknowledgments This work was supported, in part, by the General Direction of Scientific Research (DGRST) in Tunisia (ARUB program) and by the Spanish Ministry of Science and Innovation (grant no. ...
doi:10.1016/j.trc.2014.03.003
fatcat:sahnsazdlvevvoplvgofad4hvy
Bio-inspired multi-agent systems for reconfigurable manufacturing systems
2012
Engineering applications of artificial intelligence
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The Multi-Agent System (MAS) paradigm offers an alternative way to design this kind of system based on decentralized control using distributed, autonomous agents, thus replacing the traditional centralized ...
An industrial automation case study is used to illustrate a bio-inspired method based on potential fields to dynamically route pallets. ...
Acknowledgments The experimental work was performed by a project team, including Nadine Zbib, Cyrille Pach, Yves Sallez, Thierry Berger, with the help and support of the AIP-PRIMECA team. ...
doi:10.1016/j.engappai.2011.09.025
fatcat:ldfomxk5r5fm7mkzhj6efpchsa
A Review of Platforms for the Development of Agent Systems
[article]
2020
arXiv
pre-print
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It aims to serve as a reference point for people interested in developing agent systems. ...
Agent-based computing is an active field of research with the goal of building autonomous software of hardware entities. ...
SLAPP is a simulation shell for agent systems based on a swarm-like agent protocol implemented in Python 3. ...
arXiv:2007.08961v1
fatcat:3ddtajdqv5fftldoqobr2y6y4u
2019 Index IEEE Transactions on Systems, Man, and Cybernetics: Systems Vol. 49
2019
IEEE Transactions on Systems, Man & Cybernetics. Systems
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Inceoglu, A., +, TSMC Jan. 2019 192-205
Enhancing Binocular Depth Estimation Based on Proactive Perception and
Action Cyclic Learning for an Autonomous Developmental Robot. ...
., +, TSMC
June 2019 1270-1284
Energy Internet
Guest Editorial Special Issue on New Trends in Energy Internet: Artificial
Intelligence-Based Control, Network Security, and Management. ...
Open loop systems ...
doi:10.1109/tsmc.2019.2956665
fatcat:xhplbanlyne7nl7gp2pbrd62oi
MAGENTA technology case studies of magenta i-scheduler for road transportation
2007
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems - AAMAS '07
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The paper describes functionality of Magenta Multi-Agent Logistics i-Scheduler Engine presented on AAMAS 2006 conferences and gives examples of its application in business domain. ...
This results in a unique ability to combine inbound and outbound deliveries, different fleets or private networks, driving more value from finding effective backhauls and consolidations. ...
more traditional approaches rather than on exploring new features and advantages of multi-agent systems based on swarm intelligence principles [12] . ...
doi:10.1145/1329125.1329455
dblp:conf/atal/SkobelevGGI07
fatcat:g3qhdwcdnnejdfqfofw2qxsqgi
Swarm intelligence systems for transportation engineering: Principles and applications
2008
Transportation Research Part C: Emerging Technologies
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Swarm intelligence (Beni and Wang, 1989) is the branch of Artificial Intelligence based on study of behavior of individuals in various decentralized systems. ...
Swarm intelligence is the branch of artificial intelligence based on study of behavior of individuals in various decentralized systems. ...
Acknowledgments The author would like to thank the anonymous referees whose comments and suggestions have significantly improved this article. ...
doi:10.1016/j.trc.2008.03.002
fatcat:lbif2caiqbhk5l3stfxk5yd2iu
Stabilization Methods for a Multiagent System with Complex Behaviours
2015
Computational Intelligence and Neuroscience
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The main focus of the paper is the stability analysis of a class of multiagent systems based on an interaction protocol which can generate different types of overall behaviours, from asymptotically stable ...
We present several interpretations of stability and suggest two methods to assess the stability of the system, based on the internal models of the agents and on the external, observed behaviour. ...
Conditions for swarm stability of nonlinear high-order multiagent systems were also described based on the idea of space transformation, showing that swarm stability can be ensured by sufficient connectivity ...
doi:10.1155/2015/236285
pmid:26097491
pmcid:PMC4444567
fatcat:776mew25mjf6vfm4yxcadrisfe
Multiple Mobile Robot Systems
[chapter]
2016
Springer Handbook of Robotics
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Temporal changes in system-level swarm behavior are addressed by Hoff et al. [53.150] who show how a swarm can change and improve its foraging behavior by switching between algorithms based on the environment ...
This work computes the expected error characteristics for an ideal algorithm, and compares this to the actual error in an algorithm based on multilateration, drawing the important conclusion that the error ...
doi:10.1007/978-3-319-32552-1_53
fatcat:rijl5w2zuvfyhjyx3drntjwvam
Towards efficient multiagent task allocation in the RoboCup Rescue: a biologically-inspired approach
2010
Autonomous Agents and Multi-Agent Systems
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We use a swarm intelligence based approach, address all characteristics, and compare it to other two GAP-based algorithms. ...
This paper addresses team formation in the RoboCup Rescue centered on task allocation. ...
Acknowledgments This research is partially supported by the Air Force Office of Scientific Research (AFOSR) (grant number FA9550-06-1-0517) and by the Brazilian National Council for Scientific and Technological ...
doi:10.1007/s10458-010-9136-3
fatcat:ncrbocwoabdbrbdekwpjce7aam
Special Issue on Deep Reinforcement Learning for Emerging IoT Systems
2020
IEEE Internet of Things Journal
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Jia Hu received the B.Eng. and M.Eng. degrees in electronic engineering from the Huazhong ...
Peng Liu received the B.S. and M.S. degrees in computer science and technology from Hangzhou Dianzi University, Hangzhou, China, in 2001 and 2004, respectively, and ...
To solve the problem of inadequately labeled sample data, an intelligent auto-labeling scheme based on DQN is developed. ...
doi:10.1109/jiot.2020.2998256
fatcat:rct75tsesbh7lkjmhuyogfi4ym
Multipotent Systems: Combining Planning, Self-Organization, and Reconfiguration in Modular Robot Ensembles
2018
Sensors
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Mobile multirobot systems play an increasing role in many disciplines. ...
Because typically a high degree of autonomy in such systems is a prerequisite for their practical usage, we also present the integration of necessary mechanisms and algorithms for achieving the systems ...
Those range from complex planning and coordination approaches to determine useful action sequences [21] , over so-called swarm intelligence technologies [22, 23] exploiting local interactions between ...
doi:10.3390/s19010017
fatcat:oq3ohsfduzbxtcjx2m42jv4sfq
An agent-based hyper-heuristic approach to combinatorial optimization problems
2010
2010 IEEE International Conference on Intelligent Computing and Intelligent Systems
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This paper introduces a framework based on multi-agent system for solving problems of combinatorial optimization. The framework allows running various meta-heuristic algorithms simultaneously. ...
Our hyper-heuristic approach is defined as a high-level search in algorithm space implemented within agents. ...
In both cases we have to select a feasible subset of all available algorithms and in case of sequencing even a proper algorithm order. ...
doi:10.1109/icicisys.2010.5658624
fatcat:6mp5pqd6x5dpvenoasrq2om4su
Current advancements on autonomous mission planning and management systems: An AUV and UAV perspective
2018
Annual Reviews in Control
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2020 pre-print arXiv:2007.05179v1 fatcat:fctc5obkwfb65fn4zezmhntkty
This paper serves as an introduction to UVs mission planning and management systems aiming to highlight some of the recent developments in the field of autonomous underwater and aerial vehicles in addition ...
onboard intelligence. ...
An autonomous system, on the other hand, can select amongst multiple possible action sequences in order to achieve its goals. ...
doi:10.1016/j.arcontrol.2018.07.002
fatcat:fq5q25mqgjhczjtojlganzrmue
Coordinated Control of Distributed Traffic Signal Based on Multiagent Cooperative Game
2021
Wireless Communications and Mobile Computing
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This paper proposes multiagent reinforcement learning based on cooperative game (CG-MARL) to design the intersection as an agent structure. ...
The distributed multiagent RL (MARL) can avoid this kind of problem by observing some areas of each local RL in the complex plane traffic area. ...
In recent years, the algorithm of traffic signal control is developing towards intelligence, for example, swarm intelligence algorithms (particle swarm optimization (PSO), ant colony optimization (ACO) ...
doi:10.1155/2021/6693636
fatcat:7amnnzidtjbhnlnydlzfiiydg4
A Multiagent Approach for Metaheuristics Hybridization Applied to the Traveling Salesman Problem
2012
2012 Brazilian Symposium on Neural Networks
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This paper proposes a multiagent approach for metaheuristics hybridization inspired on the popular technique called Particle Swarm Optimization (PSO). ...
Each particle is an autonomous agent with memory and methods for learning and making decisions. The proposed approach is applied to the Traveling Salesman Problem in order to test its effectiveness. ...
INTRODUCTION Swarm intelligence is an artificial intelligence subarea related to the design of intelligent systems based on the behavior of social insects such as ants and bees, as well as on other animal ...
doi:10.1109/sbrn.2012.39
dblp:conf/sbrn/SouzaGGC12
fatcat:szpkdgkeq5axng2izz6setuzwm
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