A robust multi-agent Negotiation for advanced Image Segmentation: Design and Implementation

Allioui, Hanane; Sadgal, Mohammed; Fazziki, Abdelaziz El

doi:10.4114/intartif.vol22iss64pp102-122

Cited by 6 publications

(2 citation statements)

References 62 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The advantage of this method is that it suggests a distributed adaptation of the well-known simulated rinse algorithm and incorporates the idea of social welfare, in which agents evaluate both individual and societal rationality [16].…”

Section: Review Finding On Mas In Medical Imagementioning

confidence: 99%

A Review of Medical Image Techniques and Methods based on a Multi-agent System

Nayyef¹,

Sulaiman²,

Hasan³

et al. 2022

TEM Journal

View full text Add to dashboard Cite

In cases where the success of artificial intelligence (AI) approaches is more focused on the multi-agent system (MAS) than those that may make AI understandable to humans, in light of the repetitive cycles of the history of AI, we expect to see technology reevaluation that is commonly referred to as 'classical IA' – especially agent and MAS – in the upcoming years. Other than that, agents and multi-agent (MAS) systems are crucial to designing intelligent systems from the start. They can open new possibilities to researchers for explanatory and intelligent systems through their long-term link with logical technology, which is characteristic of its early times. That is why it is now crucial to comprehend the present position of MAS for medical image methods. This paper thus seeks to provide a complete overview by reviewing the MAS and the agent approaches. Two different views are taken and assessed for the resulting technologies: the MAS and the image processing technologies.

show abstract

Section: Review Finding On Mas In Medical Imagementioning

confidence: 99%

A Review of Medical Image Techniques and Methods based on a Multi-agent System

Nayyef¹,

Sulaiman²,

Hasan³

et al. 2022

TEM Journal

View full text Add to dashboard Cite

show abstract

“…In our system, the definition of negotiating includes all the possible actions that the agents can proceed to resolve conflicts and reach their goals. The interactions, communications, and negotiations of MAS agents are managed using a game theory paradigm, which is Pareto optimum [33], according to their plans, goals, and beliefs. For that, it is essential to define the basic elements for a strong negotiation model that can deal with agents' conflicts.…”

Section: Conflict Resolution Strategymentioning

confidence: 99%

An Improved Image Segmentation System

Allioui

Sadgal

Fazziki

2020

J. commun. softw. syst. (Online)

Self Cite

View full text Add to dashboard Cite

In this paper, we present a solution-based cooperation approach for strengthening the image segmentation.This paper proposes a cooperative method relying on Multi-Agent System. The main contribution of this work is to highlight the importance of cooperation between the contour and region growing based on Multi-Agent System (MAS). Consequently, agents’ interactions form the main part of the whole process for image segmentation. Similar works were proposed to evaluate the effectiveness of the proposed solution. The main difference is that our Multi-Agent System can perform the segmentation process ensuring efficiency. Our results show that the performance indices in the system were higher. Furthermore, the integration of the cooperation paradigm allows to speed up the segmentation process. Besides, the tests reveal the robustness of our method by proving competitive results. Our proposal achieved an accuracy of 93,51%± 0,8, a sensitivity of 93,53%± 5,08 and a specificity rate of 92,64%± 4,01.

show abstract