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Distributed estimation that recruits potentially large groups of humans to collect data about a phenomenon of interest has emerged as a paradigm applicable to a broad range of detection and estimation tasks. However, it also presents a…

Signal Processing · Electrical Eng. & Systems 2020-01-28 Kewei Chen , Donya Ghavidel , Vijay Gupta , Yih-Fang Huang

In a setting where heterogeneous agents interact to accomplish a given set of goals, cooperation is of utmost importance, especially when agents cannot achieve their individual goals by exclusive use of their own efforts. Even when we…

Multiagent Systems · Computer Science 2008-06-25 Ilker Yildirim , Haluk Bingol

Based on economic theories and integrated with machine learning technology, this study explores a collaborative Supply Chain Management and Financial Supply Chain Management (SCM - FSCM) model to solve issues like efficiency loss, financing…

Machine Learning · Computer Science 2025-09-05 Hang Wang , Huijie Tang , Ningai Leng , Zhoufan Yu

Mobile crowdsourcing refers to systems where the completion of tasks necessarily requires physical movement of crowdworkers in an on-demand workforce. Evidence suggests that in such systems, tasks often get assigned to crowdworkers who…

Artificial Intelligence · Computer Science 2024-01-24 Ralf Bruns , Jeremias Dötterl , Jürgen Dunkel , Sascha Ossowski

We develop elements of a theory of cooperation and coordination in networks. Rather than considering a communication network as a means of distributing information, or of reconstructing random processes at remote nodes, we ask what…

Information Theory · Computer Science 2011-04-04 Paul Cuff , Haim Permuter , Thomas Cover

Effective problem solving among multiple agents requires a better understanding of the role of communication in collaboration. In this paper we show that there are communicative strategies that greatly improve the performance of…

cmp-lg · Computer Science 2008-02-03 Marilyn A. Walker

This paper proposes decentralized resource-aware coordination schemes for solving network optimization problems defined by objective functions which combine locally evaluable costs with network-wide coupling components. These methods are…

Systems and Control · Electrical Eng. & Systems 2022-01-04 Priyank Srivastava , Guido Cavraro , Jorge Cortes

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, we…

Optimization and Control · Mathematics 2023-09-21 Bryan Van Scoy , Laurent Lessard

Multi-agent planning (MAP) approaches have been typically conceived for independent or loosely-coupled problems to enhance the benefits of distributed planning between autonomous agents as solving this type of problems require less…

Artificial Intelligence · Computer Science 2015-01-30 Alejandro Torreño , Eva Onaindia , Óscar Sapena

Conventional control of fluid systems does not consider system-wide knowledge for optimising energy efficient operation. Distributed control of fluid systems combines reliable local control of components while using system-wide cooperation…

Systems and Control · Electrical Eng. & Systems 2023-04-26 Kevin T. Logan , J. Marius Stürmer , Tim M. Müller , Peter F. Pelz

As product complexity and marketing competition increase, a collaborative product development is necessary for companies which develop high quality products in short lead-times. To support product actors from different fields, disciplines,…

Human-Computer Interaction · Computer Science 2007-06-22 Hichem Geryville , Abdelaziz Bouras , Yacine Ouzrout , Nikolaos Sapidis

To ensure that social networks (e.g. opinion consensus, cooperative estimation, distributed learning and adaptation etc.) proliferate and efficiently operate, the participating agents need to collaborate with each other by repeatedly…

Computer Science and Game Theory · Computer Science 2015-06-17 Jie Xu , Yangbo Song , Mihaela van der Schaar

Supply Chain Management requires addressing a variety of complex decision-making challenges, from sourcing strategies to planning and execution. Over the last few decades, advances in computation and information technologies have enabled…

Artificial Intelligence · Computer Science 2025-07-30 David Simchi-Levi , Konstantina Mellou , Ishai Menache , Jeevan Pathuri

The Agentic Service Ecosystem consists of heterogeneous autonomous agents (e.g., intelligent machines, humans, and human-machine hybrid systems) that interact through resource exchange and service co-creation. These agents, with distinct…

Multiagent Systems · Computer Science 2025-08-12 Xuwen Zhang , Xiao Xue , Xia Xie , Qun Ma , Xiangning Yu , Deyu Zhou , Yifan Wang , Ming Zhang

We study a supply chain consisting of production-inventory systems at several locations which are coupled by a common supplier. Demand of customers arrives at each production system according to a Poisson process and is lost if the local…

Probability · Mathematics 2023-03-21 Sonja Otten

Large scale systems are forecasted to greatly impact our future lives thanks to their wide ranging applications including cooperative robotics, mobility on demand, resource allocation, supply chain management. While technological…

Optimization and Control · Mathematics 2024-12-20 Dario Paccagnan

Technology has been playing a major role in our lives. One definition for technology is all the knowledge, products, processes, tools,methods and systems employed in the creation of goods or in providing services.This makes technological…

Computers and Society · Computer Science 2019-01-24 M. M. Eljazzar , M. A. Amr , S. S. Kassem , M. Ezzat

Modern supervisory control and data acquisition (SCADA) systems comprise variety of industrial equipment such as physical control processes, logical control systems, communication networks, computers, and communication protocols. They are…

Systems and Control · Computer Science 2015-09-29 Hosny Abbas , Samir Shaheen , Mohammed Amin

Coupon distribution is a critical marketing strategy used by online platforms to boost revenue and enhance user engagement. Regrettably, existing coupon distribution strategies fall far short of effectively leveraging the complex sequential…

Machine Learning · Computer Science 2026-02-03 Li Kong , Bingzhe Wang , Zhou Chen , Suhan Hu , Yuchao Ma , Qi Qi , Suoyuan Song , Bicheng Jin

The increasing use of LLM-based agents to support decision-making and control across diverse domains motivates the need for systematic deconfliction of their proposed actions. We present a deconfliction framework for coordinating multiple…

Systems and Control · Electrical Eng. & Systems 2026-04-14 Shiva Poudel , Thiagarajan Ramachandran , Orestis Vasios , Andrew P. Reiman