Multiagent and Grid Systems最新文献_第7页

A multi-agent system for fault location and service restoration in power distribution systems 配电系统故障定位与恢复的多智能体系统

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Multiagent and Grid Systems Pub Date : 2020-02-10 DOI: 10.3233/mgs-190316

Azeroual Mohamed, T. Lamhamdi, Hassan El Moussaoui, Hassane El Markhi

引用次数: 4

A novel approach for choosing dynamic community detection algorithms using PROMETHEE II 一种基于PROMETHEE II的动态社区检测算法选择新方法

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Multiagent and Grid Systems Pub Date : 2020-02-10 DOI: 10.3233/mgs-190315

S. Arab, N. Taghezout, F. Benkaddour

引用次数: 0

A new task scheduling mechanism in grid computing using trust model 基于信任模型的网格计算任务调度机制

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Multiagent and Grid Systems Pub Date : 2020-01-01 DOI: 10.3233/MGS-200325

A. Mohsenzadeh, M. Nickray, Amir Jalaly Bidgoly, Y. Farjami

引用次数: 1

Petri net and rewriting logic based formal analysis of multi-agent based safety-critical systems 基于Petri网和重写逻辑的多智能体安全关键系统形式化分析

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Multiagent and Grid Systems Pub Date : 2020-01-01 DOI: 10.3233/mgs-200320

A. Boucherit, Laura M. Castro, Abdallah Khababa, O. Hasan

引用次数: 2

Software defect prediction based on weighted extreme learning machine 基于加权极值学习机的软件缺陷预测

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Multiagent and Grid Systems Pub Date : 2020-01-01 DOI: 10.3233/mgs-200321

Jinjing Gai, Shang Zheng, Hualong Yu, Hongji Yang

引用次数: 1

Flexibility measurement model of multi-agent systems 多智能体系统柔性测量模型

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Multiagent and Grid Systems Pub Date : 2020-01-01 DOI: 10.3233/mgs-200334

Rohallah Benaboud, Toufik Marir

引用次数: 1

Hybrid analytic hierarchy process-based quantitative satisfaction propagation in goal-oriented requirements engineering through sensitivity analysis 基于混合层次分析法的敏感性需求工程定量满意度传播

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Multiagent and Grid Systems Pub Date : 2020-01-01 DOI: 10.3233/mgs-200339

Sreenithya Sumesh, A. Krishna

{"title":"Hybrid analytic hierarchy process-based quantitative satisfaction propagation in goal-oriented requirements engineering through sensitivity analysis","authors":"Sreenithya Sumesh, A. Krishna","doi":"10.3233/mgs-200339","DOIUrl":"https://doi.org/10.3233/mgs-200339","url":null,"abstract":"In the early phase of Requirements Engineering (RE), Goal-Oriented Requirements Engineering (GORE) has been found to be a valuable tool. GORE plays a vital role in requirements analysis such as alternative selection decision-making process. This is carried out to determine the practicability and effectiveness of alternative approaches to arriving at quality goals. Most GORE models handle alternative selection based on an extremely coarse-grained qualitative approach, making it impossible to distinguish two alternatives. Many proposals are based on quantitative alternative choices, yet they do not offer a clear decision-making judgement. We propose a fuzzy-based quantitative approach to perform goal analysis using inter-actor dependencies in the i* framework, thereby addressing the ambiguity problems that arise in qualitative analysis. The goal analysis in the i* framework was performed by propagating the impact and weight values throughout the entire hierarchy of an actor. In this article, the Analytic Hierarchy Process (AHP) is adapted with GORE to discuss the evaluation of alternative strategies of the i* goal model of interdependent actors. By using a quantitative requirement prioritisation method such as the AHP, weights of importance are assigned to softgoals to obtain a multi-objective optimised function. The proposed hybrid method measures the degree of contribution of alternatives to the fulfillment of top softgoals. The integration of AHP with goal anlaysis helps to measure alternative options against each other based on the requirements problem. This approach also includes the sensitivity analysis, which helps to check the system behaviour for change in input parameter. Hence, it facilitates decision-making for the benefit of the requirements’ analyst. To explain the proposed solution, this paper considers a telemedicine system case study from the existing literature.","PeriodicalId":43659,"journal":{"name":"Multiagent and Grid Systems","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76395648","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Behavioral flexibility in Belief-Desire- Intention (BDI) architectures 信念-欲望-意图(BDI)架构中的行为灵活性

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Multiagent and Grid Systems Pub Date : 2020-01-01 DOI: 10.3233/mgs-200335

Adel Saadi, R. Maamri, Z. Sahnoun

{"title":"Behavioral flexibility in Belief-Desire- Intention (BDI) architectures","authors":"Adel Saadi, R. Maamri, Z. Sahnoun","doi":"10.3233/mgs-200335","DOIUrl":"https://doi.org/10.3233/mgs-200335","url":null,"abstract":"The Belief-Desire-Intention (BDI) model is a popular approach to design flexible agents. The key ingredient of BDI model, that contributed to concretize behavioral flexibility, is the inclusion of the practical reasoning. On the other hand, researchers signaled some missing flexibility’s ingredient, in BDI model, essentially the lack of learning. Therefore, an extensive research was conducted in order to extend BDI agents with learning. Although this latter body of research is important, the key contribution of BDI model, i.e., practical reasoning, did not receive a sufficient attention. For instance, for performance reasons, some of the concepts included in the BDI model are neglected by BDI architectures. Neglecting these concepts was criticized by some researchers, as the ability of the agent to reason will be limited, which eventually leads to a more or less flexible reasoning, depending on the concepts explicitly included. The current paper aims to stimulate the researchers to re-explore the concretization of practical reasoning in BDI architectures. Concretely, this paper aims to stimulate a critical review of BDI architectures regarding the flexibility, inherent from the practical reasoning, in the context of single agents, situated in an environment which is not associated with uncertainty. Based on this review, we sketch a new orientation and some suggested improvements for the design of BDI agents. Finally, a simple experiment on a specific case study is carried out to evaluate some suggested improvements, namely the contribution of the agent’s “well-informedness” in the enhancement of the behavioral flexibility.","PeriodicalId":43659,"journal":{"name":"Multiagent and Grid Systems","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89511519","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Parallel and fault-tolerant k-means clustering based on the actor model 基于参与者模型的并行容错k-means聚类

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Multiagent and Grid Systems Pub Date : 2020-01-01 DOI: 10.3233/mgs-200336

Salah Taamneh, A. Qawasmeh, A. Aljammal

{"title":"Parallel and fault-tolerant k-means clustering based on the actor model","authors":"Salah Taamneh, A. Qawasmeh, A. Aljammal","doi":"10.3233/mgs-200336","DOIUrl":"https://doi.org/10.3233/mgs-200336","url":null,"abstract":"K-means algorithm is a well-known unsupervised machine learning tool that aims at splitting a given dataset into a fixed number of clusters via iterative refinement approach. Running such an algorithm on today’s datasets that are characterized by its high multidimensionality and huge size requires using fault-tolerance mechanisms to mitigate the impact of possible failures. In this paper, we propose an actor-based implementation of k-means algorithm. The algorithm was made fault-tolerant by periodically saving the centroids into a stable storage during the failure-free execution, and restarting from the last saved centroids upon a failure. This was implemented in two different ways: optimistic checkpointing (blocking) and pessimistic checkpointing (non-blocking). The actor-based k-means algorithm was evaluated on a machine with eight cores. The experiments showed that the proposed algorithm scales very well as the number of workers increases, and can be up to ∼ 2x faster than a Java-thread-based implementation of k-means algorithm. The results also showed that the optimistic algorithm outperformed the pessimistic one, specifically, in the presence of competing I/O operations. Several failures were forced to occur during the execution to evaluate the performance of the fault-tolerant implementations. The experiments showed that the average amount of lost work ranged from 3–6%.","PeriodicalId":43659,"journal":{"name":"Multiagent and Grid Systems","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80116851","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Plan distance heuristics for task fusion in distributed temporal continuous planning 分布式时间连续规划中任务融合的规划距离启发式算法

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Multiagent and Grid Systems Pub Date : 2020-01-01 DOI: 10.3233/MGS-200327

Gilberto Marcon dos Santos, J. Adams

引用次数: 1