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A Multi-Agent Bio- Inspired System to Map Learners with Learning Resources using Clustering Based Personalization

The work makes an examination of clustering methods in a multi-agent system which is fully decentralized.  ...  The results of the experiment prove that the multi-agent firefly clustering has better performance compared to that of a multi-agent K-Means clustering or a multi-agent DE clustering.  ...  Multi Agent K Means Clustering Algorithm One of the most popular methods of clustering is the K-means clustering in cluster analysis aiming to divide n observations into the k clusters where every observation  ... 
doi:10.35940/ijitee.j9833.0881019 fatcat:objnmpajgnetzpep2yeojdn6be

Cluster-based informed agents selection for flocking with a virtual leader

Nuwan Ganganath, Chi-Tsun Cheng, Chi K. Tse, Xiaofan Wang
2015 2015 IEEE International Symposium on Circuits and Systems (ISCAS)  
Recent literature on flocking in multi-agent systems show that a minority of informed agents in a group of dynamic agents can influence a majority to follow a virtual leader.  ...  The proposed method enables us to select informed agents such that they are spatially evenly distributed within the group of agents.  ...  Based on the observations, we propose a novel cluster-based informed agents selection method for flocking of multi-agent dynamic systems with a virtual leader.  ... 
doi:10.1109/iscas.2015.7169241 dblp:conf/iscas/GanganathCTW15 fatcat:x5zz6e63zrcb3i5yhdbxqheuei

Can Multi-Agents Wake Us from IC Design Productivity Nightmare? [chapter]

Peter van Staa, Christian Sebeke
2007 Lecture Notes in Computer Science  
Perceptual Services p. 104 New Technologies and Techniques An Ontology-Based Reconfiguration Agent for Intelligent Mechatronic Systems p. 114 Methods to Observe the Clustering of Agents Within  ...  Issues A Holonic Metamodel for Agent-Oriented Analysis and Design p. 237 Using Adaptable Design to Classify Interactions Within a Distributed Control Architecture p. 247 Application of the Holonic  ... 
doi:10.1007/978-3-540-74481-8_2 fatcat:teicxmob2naw3isqb2yjlyqzgq

Hybrid Approach for Wind Turbines Power Curve Modeling Founded on Multi-Agent System and Two Machine Learning Algorithms, K-Means Method and the K-Nearest Neighbors, in the Retrieve Phase of the Dynamic Case Based Reasoning

Mohamed Kouissi, El Mokhtar En-Naimi, Abdelhamid Zouhair
2022 International Journal of Online and Biomedical Engineering (iJOE)  
In this paper, we present a hybrid approach of wind turbines power curve modeling based on Case Based Reasoning approach, multi agent system, the K-Means unsupervised machine learning method, and then  ...  Finally, a set of WTPC with similar characteristics of the target case are proposed.  ...  Multi agent system The multi agent system (MAS) is a system composed of a collection of autonomous software agents that work together to accomplish a particular task irrespective of their capabilities  ... 
doi:10.3991/ijoe.v18i06.29565 fatcat:cvpzfg757bbq5bz5x3vasuwkry


L. Motus, M. Meriste, T. Kelder, J. Helekivi
2002 IFAC Proceedings Volumes  
Architecture of a test-bed is suggested that has capabilities for the development of agents and multi-agent systems, and also serves for semi-automatic testing, assessment and verification of selected  ...  properties of those agents and systems.  ...  ACKNOWLEDGMENT The partial financial support provided by ETF grant 4860 and grants no. 0140237s98, 0250556s98 from Estonian Ministry of Education is acknowledged.  ... 
doi:10.3182/20020721-6-es-1901.00979 fatcat:gtr324nnu5d5zlu4tcmxm6tdu4

Multi-Agent Belief Sharing through Autonomous Hierarchical Multi-Level Clustering [article]

Mirco Theile, Jonathan Ponniah, Or Dantsker, Marco Caccamo
2021 arXiv   pre-print
The problem is exacerbated through the individual take-off and landing of agents for battery recharging leading to a varying number of active agents throughout the whole mission.  ...  Using observation aggregation, compression, and dissemination, agents share local observations throughout the hierarchy, giving every agent a total system belief with spatially dependent resolution and  ...  OBSERVATION COMMUNICATION The previously described multi-level clustering is intended to be used as a backbone for communication within a multiagent system.  ... 
arXiv:2107.09973v1 fatcat:j6iatr4eqbbtdbfqfasyf3tpdq

An aspect-oriented approach for modeling self-organizing emergent structures

Linda M. Seiter, Daniel W. Palmer, Marc Kirschenbaum
2006 Proceedings of the 2006 international workshop on Software engineering for large-scale multi-agent systems - SELMAS '06  
Multi-agent systems must be engineered to ensure that desirable system-level properties will consistently emerge from the complex interactions of the underlying agents, while also guaranteeing that undesirable  ...  The identification of such patterns allows us to implement a feedback loop to steer the behavior of the lower level agents towards actions favorable for the emergence of a reliable solution.  ...  Graph Coloring To demonstrate the application of AOP, we present a multi-agent system developed to solve graph coloring.  ... 
doi:10.1145/1138063.1138075 fatcat:5v6ryhjyp5am7khma3gj3ayxwm

Learning to Ground Decentralized Multi-Agent Communication with Contrastive Learning [article]

Yat Long Lo, Biswa Sengupta
2022 arXiv   pre-print
Inducing the emergence of a common language has been a difficult challenge to multi-agent learning systems.  ...  Based on this perspective, we propose a simple approach to induce the emergence of a common language by maximizing the mutual information between messages of a given trajectory in a self-supervised manner  ...  Yet, existing decentralized approaches to communication in multi-agent reinforcement learning (MARL) systems are known to perform poorly even in simple tasks (Foerster et al., 2016) .  ... 
arXiv:2203.03344v1 fatcat:tdnw4c27obgkdlt5soiudu44vm

Multi-Agent Reinforcement Learning-based Adaptive Sampling for Conformational Sampling of Proteins [article]

Diego E. Kleiman, Diwakar Shukla
2022 bioRxiv   pre-print
A stakes function is introduced to modulate how different agents sense rewards from discovered states of the system.  ...  To fill this gap, we propose two algorithms inspired by multi-agent RL that extend the functionality of closely-related techniques (REAP and TSLC) to situations where the sampling can be accelerated by  ...  The agents can make observations by sampling a thermodynamic ensemble of the system using standard MD methods.  ... 
doi:10.1101/2022.05.31.494208 fatcat:ojevrzoptjg4fo6bntqw6yenyi

Social Simulation for Analyzing Product Recall Systems Using Co-Evolution Model with Price Competition

Tetsuroh Watanabe, Taro Kanno, Kazuo Furuta
2018 Journal of Mathematics and System Science  
To improve product recall systems, we studied social simulation using a multi-agent system with a co-evolution model.  ...  For this study, we used a Layered Co-evolution Model to reflect situations of the real society using producer agents and consumer agents.  ...  Cluster analysis of consumer agents Finally, we explore cluster analysis of consumer agents. Following Algorithm 6, we observed the distribution of producer agents using clustering method.  ... 
doi:10.17265/2159-5291/2018.02.001 fatcat:yxf7shjlr5c5zbhynceekjir2q

Toward a Methodology for Agent-Based Data Mining and Visualization [chapter]

Elizabeth Sklar, Chipp Jansen, Jonathan Chan, Michael Byrd
2012 Lecture Notes in Computer Science  
We explore the notion of agent-based data mining and visualization as a means for exploring large, multi-dimensional data sets.  ...  The visualization quickly shows separation of data boids into clusters, where members are attracted to each other by common feature values.  ...  Acknowledgments We would like to thank the anonymous reviewers of this paper for their comments, which were not only helpful for the current revision but also provide guidance for the next stages of our  ... 
doi:10.1007/978-3-642-27609-5_2 fatcat:bq6uwwdi5bba5aa3gdtutvjci4

Complex Laplacian based Distributed Control for Multi-Agent Network [article]

Aniket Deshpande, Pushpak Jagtap, Prashant Bansode, Arun Mahindrakar, Navadeep Singh
2018 arXiv   pre-print
The proposed technique exploits the traditional method of organizing large scattered networks into smaller interconnected clusters to optimize information flow within the network.  ...  The complex Laplacian-based approach results in a hierarchical structure, with formation of a meta-cluster leading other clusters in the network.  ...  Introduction The broad application domain of distributed control methods in multi-agent systems have attracted a considerable attention of researchers in recent years.  ... 
arXiv:1609.05520v2 fatcat:3zfnjyf2rnazngzt7td7mv7c34

A Framework: Cluster Detection and Multidimensional Visualization of Automated Data Mining Using Intelligent Agents

R Jayabrabu
2012 International Journal of Artificial Intelligence & Applications  
data mining techniques based on the user profile by means of intelligent agents.  ...  Data Mining techniques plays a vital role like extraction of required knowledge, finding unsuspected information to make strategic decision in a novel way which in term understandable by domain experts  ...  behaviors of the agents depends on the observed data from distributed system.  ... 
doi:10.5121/ijaia.2012.3110 fatcat:mkkkf6hkvbb2tpgnql3xopo6sm

CCNet: Cluster-Coordinated Net for Learning Multi-agent Communication Protocols with Reinforcement Learning

Xin Wen, Zheng-Jun Zha, Zilei Wang, Liansheng Zhuang, Houqiang Li
2018 Asian Conference on Machine Learning  
In this paper, we develop a Cluster-Coordinated Network (CCNet) to address the "Learning-to-communicate" problem in multi-agent system by utilizing the combination of a trainable Vector of Locally Aggregated  ...  observable environments and possesses robustness to the dynamic changes of agent number as well.  ...  Acknowledgments This work was supported by the National Key R&D Program of China under Grant 2017YFB1300201.  ... 
dblp:conf/acml/WenZWZL18 fatcat:iferhuu5cnbmlelcqrg726vhya

Multi-agent tasks scheduling for coordinated actions of unmanned aerial vehicles acting in group

Petr Skobelev, Denis Budaev, Aleksey Brankovsky, Georgy Voschuk
2018 International Journal of Design & Nature and Ecodynamics  
We describe the approach for system implementation as a whole and software agents within the system.  ...  This paper discusses hardware and software prototype of multi-agent system for unmanned aerial vehicles (UAVs) group action planning.  ...  After the initial clustering each UAV agent receives its individual area within the corresponding cluster, that is, some set of observations squares, in which the agent has to build a flight path to perform  ... 
doi:10.2495/dne-v13-n1-39-45 fatcat:bd7sormfsfavvheqwfysdtc74y
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