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Electronics
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New Advances in Multi-agent Systems: Control and Modelling
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New Advances in Multi-agent Systems: Control and Modelling

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Artificial Intelligence".

Deadline for manuscript submissions: 31 December 2024 | Viewed by 2463

Special Issue Editors

Dr. Yasushi Kambayashi

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Guest Editor
Department of Informatics and Data Science, Sanyo-Onoda City University, Yamaguchi 756-0884, Japan
Interests: multi-agent systems; multi-robot systems; delay tolerable networks; ad hoc communication; AI and its social implications
Special Issues, Collections and Topics in MDPI journals
Dr. Saori Iwanaga

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Guest Editor
Department of Maritime Safety Technology, Japan Coast Guard Academy, Hiroshima 737-8512, Japan
Interests: artificial intelligence; agent based modeling
Dr. Hiroshi Sato

E-Mail Website
Guest Editor
Department of Computer Science, National Defense Academy, Hashirimizu 239-8686, Japan
Interests: artificial intelligence; agent based modeling and simulation

Special Issue Information

Dear Colleagues,

The notions of agents and multi-agent systems are understood in both academic and industrial domains. Research on these fields is advanced, but they are too extensive to easily grasp. The purpose of this Special Issue is to provide a comprehensive research summary of the theory and application in the field of agent- and multi-agent-based systems. The scope includes, but is not limited to: agent-based modeling and simulation, agent-based software construction and software engineering, frameworks of artificial intelligence based on agents, agent-based software platforms, distributed problem solving and distributed artificial intelligence, and agents and multi-agent systems in general.

Dr. Yasushi Kambayashi
Dr. Saori Iwanaga
Dr. Hiroshi Sato
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • multi-agent systems
  • multi-agent-based systems
  • distributed artificial intelligence

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Published Papers (3 papers)

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Research

17 pages, 2603 KiB  
Article
Encouraging the Submission of Information by Reducing Confirming Costs
by Saori Iwanaga, Masao Kubo and Hiroshi Sato
Electronics 2024, 13(17), 3495; https://doi.org/10.3390/electronics13173495 - 3 Sep 2024
Viewed by 314
Abstract
When a landslide occurs, the person who discovers it will likely report the disaster; however, a person who receives this report will likely need someone on site to check, since the reporter may have misread the information. This allows third parties to make [...] Read more.
When a landslide occurs, the person who discovers it will likely report the disaster; however, a person who receives this report will likely need someone on site to check, since the reporter may have misread the information. This allows third parties to make use of the confirmed information. Facilitating such mechanisms for reporting, confirming, and utilizing disaster information is considered to be necessary for sharing details about one. In this paper, we proposed and analyzed an agent-based model that incorporates disaster behavior into the model of Toriumi et al. The reporting of a disaster refers to submitting articles, the confirmation of the information by another person refers to commenting on the articles, and utilizing the information refers to comments responding to the aforementioned comment using the framework of meta-reward games, based on the prisoner’s dilemma game. We then analyze the costs and rewards to encourage cooperation in several social networks. It is found that reducing the cost of commenting (conforming) encourages the submission of information. The properties of the results do not depend on network structure, which is novel and unexpected, and it is expected that the properties of real social networks will be predictable. Full article
(This article belongs to the Special Issue New Advances in Multi-agent Systems: Control and Modelling)
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20 pages, 8689 KiB  
Article
Effects of Machine Learning and Multi-Agent Simulation on Mining and Visualizing Tourism Tweets as Not Summarized but Instantiated Knowledge
by Shun Hattori, Yuto Fujidai, Wataru Sunayama and Madoka Takahara
Electronics 2024, 13(16), 3276; https://doi.org/10.3390/electronics13163276 - 19 Aug 2024
Viewed by 539
Abstract
Various technologies with AI (Artificial Intelligence), DS (Data Science), and/or IoT (Internet of Things) have been starting to be pervasive in e-tourism (i.e., smart tourism). However, most of them for a target (e.g., what to do in such a tourism spot as Hikone [...] Read more.
Various technologies with AI (Artificial Intelligence), DS (Data Science), and/or IoT (Internet of Things) have been starting to be pervasive in e-tourism (i.e., smart tourism). However, most of them for a target (e.g., what to do in such a tourism spot as Hikone Castle) utilize their “typical/major signals” (e.g., taking a photo) as summarized knowledge based on “The Principle of Majority”, and tend to filter out not only their noises but also their valuable “peculiar/minor signals” (e.g., view Sawayama Castle) as instantiated knowledge. Therefore, as a challenge to salvage not only “typical signals” but also “peculiar signals” without noises for e-tourism, this paper compares various methods of ML (Machine Learning) to text-classify a tweet as being a “tourism tweet” or not, to precisely mine tourism tweets as not summarized but instantiated knowledge. In addition, this paper proposes a MAS (Multi-Agent Simulation), powered with artisoc, for visualizing “tourism tweets”, including not only “typical signals” but also “peculiar signals”, whose number can be enormous, as not summarized but instantiated knowledge, i.e., instances of them without any summarization, and validates the effects of the proposed MAS by conducting some experiments with subjects. Full article
(This article belongs to the Special Issue New Advances in Multi-agent Systems: Control and Modelling)
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14 pages, 1027 KiB  
Article
Caching Method for Information-Centric Ad Hoc Networks Based on Content Popularity and Node Centrality
by Masaki Koide, Naoyuki Matsumoto and Tomofumi Matsuzawa
Electronics 2024, 13(12), 2416; https://doi.org/10.3390/electronics13122416 - 20 Jun 2024
Viewed by 789
Abstract
In recent years, most internet communications have focused on accessing content such as video, web services, and audio. Conversely, traditional Internet communications are inefficient because they are primarily designed for data transfer between hosts. In response, Information-Centric Networking (ICN) has emerged as a [...] Read more.
In recent years, most internet communications have focused on accessing content such as video, web services, and audio. Conversely, traditional Internet communications are inefficient because they are primarily designed for data transfer between hosts. In response, Information-Centric Networking (ICN) has emerged as a content-oriented networking model. The impact of ICN in reducing the location dependency of data and its high compatibility with ad hoc networks has led to research on realizing Information-Centric ad hoc Networks (ICANET). There has also been extensive research into caching content in the network, which is one of the features of ICN. In static networks, methods have been proposed to cache highly popular content in nodes that are more likely to be used for shortest paths. However, in dynamic networks, content with high popularity should be cached on nodes that are more likely to reach all nodes, as missing nodes need to be taken into account. In this study, we propose a cache control scheme for content caching in ICANET that utilizes both content popularity and the closeness centrality of nodes within the ad hoc network as indicators. To realise the proposed method, a new packet flow based on the Pending Interest Table (PIT) and Content Store (CS) was implemented in the forwarding strategy of ICN. The experiments used ndnSIM, a protocol implementation of NDN based on Network Simulator3, which is widely used in wireless network research. The experimental results showed that the cache hit rate could be increased by up to 4.5% in situations with low content bias. In the same situation, the response delay was also reduced by up to 28.3%. Full article
(This article belongs to the Special Issue New Advances in Multi-agent Systems: Control and Modelling)
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