A Systematic Literature Review of Multi-agent Pathfinding for Maze Research

Tjiharjadi, Semuil; Razali, Sazalinsyah; Sulaiman, Hamzah Asyrani

doi:10.12720/jait.13.4.358-367

Cited by 14 publications

(2 citation statements)

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“…This study is a systematic literature review (SLR) which systematically maps several literatures with the aim of collecting and classifying these literatures based on certain criteria [21]. The systematic review process is shown in Figure 1.…”

Section: Methodsmentioning

confidence: 99%

Do clinical decision support systems for prescribing improve patient safety? a systematic literature review

Kusumadewi

Miladiyah

2023

IJEECS

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Clinical decision support systems (CDSS) are developed independently or connected to the electronic health record (EHR) or other computerized systems. The study begins with identification by searching the literature through the Google Scholar, PubMed and ScienceDirect databases. The search results obtained 5,595 articles. Forty-two articles were obtained, which were used further. Most of the research focus is on "CDSS development and evaluation". In terms of impacts, the most common is "reduce prescribing errors". One of the biggest problems reported was the presence of "alert fatigue," which was felt to be disturbing to doctors and pharmacists. CDSS must be supported by a method that is able to indicate the presence of drug-drug interactions (DDI). The use of alerts indicating the presence of a DDI should be interpreted using clinical judgment to determine the risks and benefits of a particular drug for a specific patient. The performance of CDSS is mostly reported to have been able to reduce prescribing errors, which in turn will improve patient safety. However, increased adherence to clinical protocols has not been widely reported. Complaints that are still quite a lot reported are the presence of "alert fatigue", which can interfere with effectiveness.

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Section: Methodsmentioning

confidence: 99%

Do clinical decision support systems for prescribing improve patient safety? a systematic literature review

Kusumadewi

Miladiyah

2023

IJEECS

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“…Labirin merupakan teka-teki perjalanan dengan percabangan yang rumit dimana penjelajah harus menemukan jalan keluar [14]. Labirin banyak digunakan sebagai sarana hiburan contohnya pada video game.…”

Section: Pendahuluanunclassified

Website Pembelajaran Algoritma Dengan Visualisasi: Kasus Jalur Labirin Dengan Algoritma Pathfinding

Suwarno,

Pratama,

Vendryan

2024

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Understanding pathfinding algorithms is crucial for programmers. Pathfinding algorithms have been applied in many domains, including robotics, network routing, video game, and GPS. Computer science students are taught this pathfinding algorithm in their classes. Without concrete examples, algorithms have always been an abstract idea that is challenging to understand. Based on this, the research developed a website for the pathfinding algorithm visualization using the ADDIE method, which visualizes the maze's completion by employing the Breadth First Search, Depth First Search, and A* search. Subsequently, study was conducted utilizing the UTAUT model to analyze the components that motivate students to utilize the website. The study found that factors such as ease of use and comfort when using a pathfinding website's visualization algorithm increase students' willingness to use it and social factors have no influence on students.

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Learning team-based navigation: a review of deep reinforcement learning techniques for multi-agent pathfinding

Chung,

Fayyad,

Younes

et al. 2024

Artif Intell Rev

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Multi-agent pathfinding (MAPF) is a critical field in many large-scale robotic applications, often being the fundamental step in multi-agent systems. The increasing complexity of MAPF in complex and crowded environments, however, critically diminishes the effectiveness of existing solutions. In contrast to other studies that have either presented a general overview of the recent advancements in MAPF or extensively reviewed Deep Reinforcement Learning (DRL) within multi-agent system settings independently, our work presented in this review paper focuses on highlighting the integration of DRL-based approaches in MAPF. Moreover, we aim to bridge the current gap in evaluating MAPF solutions by addressing the lack of unified evaluation indicators and providing comprehensive clarification on these indicators. Finally, our paper discusses the potential of model-based DRL as a promising future direction and provides its required foundational understanding to address current challenges in MAPF. Our objective is to assist readers in gaining insight into the current research direction, providing unified indicators for comparing different MAPF algorithms and expanding their knowledge of model-based DRL to address the existing challenges in MAPF.

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A Systematic Literature Review of Multi-agent Pathfinding for Maze Research

Cited by 14 publications

References 0 publications

Do clinical decision support systems for prescribing improve patient safety? a systematic literature review

Do clinical decision support systems for prescribing improve patient safety? a systematic literature review

Website Pembelajaran Algoritma Dengan Visualisasi: Kasus Jalur Labirin Dengan Algoritma Pathfinding

Learning team-based navigation: a review of deep reinforcement learning techniques for multi-agent pathfinding

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