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What is Multi-Agent Systems (MAS)

Bioethics of Cognitive Ergonomics and Digital Transition
Compromised of multiple interacting autonomous agents.
Published in Chapter:
Multi-Agent Models in Healthcare System Design
Muhammad Usman Tariq (Abu Dhabi University, UAE & University of Glasgow, Glasgow, UK)
Copyright: © 2024 |Pages: 28
DOI: 10.4018/979-8-3693-2667-1.ch008
Abstract
The chapter delves into the pivotal role of multiagent models (MAS) in designing healthcare systems, addressing the escalating complexity and interconnected nature inherent in contemporary healthcare. Against historical progress in healthcare systems, the chapter explores the fundamental principles and architectural frameworks specifically tailored for MAS in healthcare applications. It presents MAS as dynamic and adaptable solutions, offering an innovative framework for tackling the intricate challenges healthcare environments face. It analyzes various applications of MAS in healthcare system design, encompassing its impact on hospital management, patient care coordination, resource allocation, and telemedicine. Through case studies and examples, it elucidates how MAS enhances efficiency, reduces costs, and facilitates real-time healthcare delivery decision-making. Furthermore, the chapter critically examines the challenges inherent in implementing MAS, encompassing technical complexities, organizational hurdles, and ethical considerations such as patient privacy and data security.
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More Results
Social Knowledge in Multi-Agent Systems
A group of agents organized according to specific, precisely defined principles of community organization and operation (architecture, style of messaging, and negotiations protocols, etc.), and being supported by an adequate agent platform or infrastructure (registration, deregistration processes, communications support, etc.).
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Contingency Theory, Agent-Based Systems, and a Virtual Advisor
Multi-agent systems are those in which multiple agents (usually) cooperate to perform some task.
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Applications of Reinforcement Learning and Bayesian Networks Algorithms to the Load-Frequency Control Problem
A multi-agent system can be defined as a group of autonomous, interacting entities (agents) sharing a common environment, which they perceive with sensors and act with actuators. Then multi-agent systems consist of agents and their environment. According to Wooldridge (2002) . The agents in a multi-agent system have several important characteristics like, autonomy : the agents are at least partially autonomous, local views : no agent has a full global view of the system, decentralization : there is no designated controlling agent (or the system is effectively reduced to a monolithic system).
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