Applied and Computational Mathematics

Special Issue

Multiagent Systems with Emerging and Future Applications

  • Submission Deadline: Oct. 30, 2023
  • Status: Submission Closed
  • Lead Guest Editor: Kennedy Efosa Ehimwenma
About This Special Issue
Multiagent systems (MAS) are intelligent, autonomous, social, interactive and pro-active systems. A MAS is simply a group of co-operative agents. MAS is a model that is built on the BDI (belief, desire and intention) architecture. Thus, a MAS can be designed to solve problem in different paradigms, either as a software or hardware system. Unlike monolithic systems, a group of autonomous agents, very much like humans, can function to solve a complex problem through their individually assigned roles yet co-operative in nature. Agents can sense percepts in their environment and take actions. That is, they have the ability to function in both physical and cyber systems. These environments can be in trade & commerce, engineering, education, social life & leisure, healthcare, transportation, smart cities, and (internet) security. Other areas that relates to data are, namely, big data, subject-predicate-object triples of the semantic web, and knowledge representation & reasoning. This special issue proposes to spark discussions in these and other related areas such that agents can be integrated into IoT (internet of things), machine learning techniques; and like humans, agents should to be able to formalize semantic rules (from problem) which are in turn used as specifications for software development.

Keywords:

  1. multiagent systems
  2. future applications
  3. internet of things
  4. formal methods
  5. machine learning
  6. cyber-physical systems
Lead Guest Editor
  • Kennedy Efosa Ehimwenma

    Department of Computer Science, Wenzhou Kean University, Wenzhou, China

Published Articles
  • A Fiedler’s Approach to LINEX Intuitionistic Fuzzy C-means Clustering Induced Spectral Initialization for Data Analysis

    M. Nithya , K. Bhuvaneswari , S. Senthil

    Issue: Volume 12, Issue 4, August 2023
    Pages: 82-91
    Received: May 19, 2023
    Accepted: Jun. 12, 2023
    Published: Jul. 21, 2023
    DOI: 10.11648/j.acm.20231204.11
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    Abstract: Clustering is a common technique for statistical data analysis. The clustering method based on intuitionistic fuzzy set has attracted more and more scholar’s attention nowadays. This paper discusses the intuitionistic fuzzy C-means clustering algorithm. There are a number of clustering techniques developed in the past using different distance/simil... Show More