Multi-Agent System Concepts Theory and Application Phases

Al-Jumaily, Adel

doi:10.5772/4730

Cited by 2 publications

(1 citation statement)

References 19 publications

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“…An agent is a computer system that existing in some environment and that is able of autonomous action in this environment in order to achieve its design objectives [1,6]. Multi-Agent Systems (MAS) is an agent based system that consists of more than one agent.…”

Section: Introductionmentioning

confidence: 99%

Development of FIPA english auction interaction protocol for multi-agent systems

Alarabiat¹,

Alarabeyyat²,

AlHeyasat³

2014

ces

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Foundation for Intelligent Physical Agents (FIPA) English Auction interaction protocol allows the customer to handle the auction by both propose and inform messages only, while it can increase the interaction domain for the customer in order to make FIPA English Auction interaction protocol more flexible to use. In this paper, we will propose a model for enhancing FIPA English Auction Interaction Protocol. This model will enable different communicative acts to be available to the customer for different reasons, these communicative acts are "refuse"," failure" and "cancel" messages. Finally, we will show when to use each of the additional communicative acts and for what reasons. These acts are explained using UML diagram and JADE platform as scenarios. 1906 Zahra' Alarabiat et al.

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Section: Introductionmentioning

confidence: 99%

Development of FIPA english auction interaction protocol for multi-agent systems

Alarabiat¹,

Alarabeyyat²,

AlHeyasat³

2014

ces

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A State-of-the-Art Survey on Various Domains of Multi-Agent Systems and Machine Learning

Barrientos¹,

Luévano²

2023

Multi-Agent Technologies and Machine Learning

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Multi-agent systems (MASs) are defined as a group of interacting entities or agents sharing a common environment that changes over time, with capabilities of perception and action, and the mechanisms for their coordination provide a modern perspective on systems that traditionally were regarded as centralized. The main characteristics of agents are learning and adaptation. In the last few years, MASs have received tremendous attention from scholars in different fields. However, there are still challenges faced by MASs and their integration with machine learning (ML) methods. The primary goal of the study is to provide a broad review of the current developments in the field of MASs combined with ML methods. First, we present features of MASs considering the ML perspective. Second, we provide a classification of applications of MASs combined with ML methods. Third, we present a density map of applications in E-learning, manufacturing, and commerce. We expect this study to serve as a comprehensive resource for researchers and practitioners in the area.

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Multi-Agent System Concepts Theory and Application Phases

Cited by 2 publications

References 19 publications

Development of FIPA english auction interaction protocol for multi-agent systems

Development of FIPA english auction interaction protocol for multi-agent systems

A State-of-the-Art Survey on Various Domains of Multi-Agent Systems and Machine Learning

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