Article
History & Philosophy Of Science
Alex Fisher
Summary: This paper discusses the issue of truth in interactive fiction and proposes a complex account to capture the multitude of fictions in interactive fiction.
Article
Computer Science, Cybernetics
Edirlei Soares de Lima, Bruno Feijo, Antonio L. Furtado
Summary: The use of narrative generation methods in games is a complex challenge that involves multiple problems. This work presents a new approach that combines multi-agent planning with a drama management strategy to generate and manage the plot structure of character-based interactive narratives in games. The proposed method is supported by an authoring tool that allows authors to create and test interactive narratives using graphical interfaces and intuitive diagrams. The results suggest the effectiveness of the approach in generating interactive narratives for highly interactive game environments.
ENTERTAINMENT COMPUTING
(2023)
Article
Computer Science, Cybernetics
Weimin Toh
Summary: This study explores the player experience of commercial narrative games using user experience approaches. Four types of player interactional patterns are identified, and a set of principles is derived from the study to guide game designers in designing narrative games.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION
(2023)
Article
Computer Science, Artificial Intelligence
Ozan Okudan, Cenk Budayan, Irem Dikmen
Summary: This study aims to enhance the effectiveness of risk management in construction projects by developing a knowledge-based RM tool using case-based reasoning. The tool supports the cyclic RM process and utilizes a comprehensive list of project similarity features in the form of fuzzy linguistic variables.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Green & Sustainable Science & Technology
Se-Hak Chun, Jae-Won Jang
Summary: This paper proposes a new case-based reasoning method for stock price predictions by utilizing traders' knowledge to select similar past patterns among nearest neighbors. It demonstrates how traders can use graphical interface to choose similar patterns, serving as an exemplar for the target. The method is compared with a random walk model in predicting the prices of individual stocks and the Dow Jones Industrial Average, showing effectiveness but not statistically superior to the random walk model.
Article
Economics
Jianfang Shao, Changyong Liang, Yujia Liu, Jian Xu, Shuping Zhao
Summary: The paper proposes a demand prediction method called intuitionistic fuzzy case-based reasoning (IFCBR) for relief material requirements, which combines the advantages of intuitionistic fuzzy theory and case-based reasoning. Similarity calculation methods and a new weight calculation method are also introduced. The validity of the method is verified through a case study and empirical evaluation experiment, providing decision support for relief material requirements and a basis for resource allocation.
SOCIO-ECONOMIC PLANNING SCIENCES
(2021)
Article
Chemistry, Analytical
Tzu-Chieh Hsieh, Chien-Min Wu, Cheng-Chung Tsai, Wen-Chien Lo, Yu-Min Wang, Shana Smith
Summary: The newly developed portable interactive human pulse measurement and reproduction system allows users to take arbitrary pulses and experience realistic simulated pulse tactile feedback in real time. Through empirical mode decomposition and artificial neural network training, the system can reproduce high-fidelity pulse tactile vibrations.
Article
Chemistry, Multidisciplinary
Qicai Wu, Haiwen Yuan, Haibin Yuan
Summary: The CBR method predicts the future health condition of a system based on past and present operating data records, and is applicable to the PHM framework; the complexity of existing algorithms hinders the establishment of a CBR model for practical use; this paper introduces a CBR model application development combining case representation, retrieval, reuse, and simulated annealing algorithm to address health performance issues in the GSV PHM framework.
APPLIED SCIENCES-BASEL
(2021)
Article
Computer Science, Artificial Intelligence
Parfait Atchade Adelomou, Daniel Casado Fauli, Elisabet Golobardes Ribe, Xavier Vilasis-Cardona
Summary: “Case-Based Reasoning (CBR) is an artificial intelligence approach that has achieved success. This article proposes using Quantum Computing to improve CBR and presents a comparative study between quantum and classical CBR.”
ARTIFICIAL INTELLIGENCE REVIEW
(2023)
Article
Engineering, Multidisciplinary
Lei Yu, Long ZhiHe, Liang Shan, Zhong TianYan, Xing LiLi, Xue XinYu
Summary: This study presents a self-powered and flexible player-interactive patch system for guitar-learning assistance, which helps players adjust their posture and rhythm in real time, improving their playing technique.
SCIENCE CHINA-TECHNOLOGICAL SCIENCES
(2022)
Article
Environmental Sciences
Jerome Cerutti, Irene Abi-Zeid, Luc Lamontagne, Roxane Lavoie, Manuel J. Rodriguez-Pinzon
Summary: To support water management and governance actors in identifying appropriate actions for protecting drinking water sources, we designed and implemented a prototype case-based reasoning (CBR) system. This system organized knowledge from past experiences of implementing water protection actions and successfully applied a CBR approach to support water actors in Quebec, Canada. The process involved collaboration with 102 water management and governance actors and can be generalized to other similar contexts.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Article
Chemistry, Multidisciplinary
Shui Ming Li, Carman Ka Man Lee
Summary: Enterprises are facing challenges in their new-product development processes due to the changing business environment, which calls for the revamping of existing processes. New-product portfolio management is an active research area, and this study explores the standardization of its configuration mechanism in a systematic way. By applying case-based reasoning and transfer-learning-based text classification model, the values of enterprises and customers can be balanced, facilitating new-product portfolio management.
APPLIED SCIENCES-BASEL
(2022)
Article
Computer Science, Software Engineering
Dirk Streeb, Yannick Metz, Udo Schlegel, Bruno Schneider, Mennatallah El-Assady, Hansjoerg Neth, Min Chen, Daniel A. Keim
Summary: This article provides an overview of visualizations for decision tree classifiers, focusing on the differences in visualizations for 16 tasks. The study finds that existing interactive visual analytics systems offer a variety of visual designs for classifier development, but there is limited coverage of utilization tasks and visual representations of quality measures other than accuracy. The authors suggest integrating algorithmic techniques, mathematical quality measures, and tailored interactive visualizations to enhance the utilization of knowledge by human experts.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2022)
Article
Computer Science, Artificial Intelligence
Walid Bannour, Ahmed Maalel, Henda Hajjami Ben Ghezala
Summary: This paper provides a comprehensive literature review of recent developments and improvement opportunities in case-based reasoning (CBR) systems for emergency management.
JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE
(2023)
Article
Computer Science, Interdisciplinary Applications
Shuangbu Wang, Yu Xia, Lihua You, Hassan Ugail, Alfonso Carriazo, Andres Iglesias, Jianjun Zhang
Summary: This paper introduces a method that combines boundary-based surface creation and partial differential equation (PDE)-based geometric modeling for quick creation of 3D models. By converting vertex frames into C-0 continuous 4-sided PDE patches and developing a user-friendly interface, the authors achieve real-time creation and modification of 3D models.
ENGINEERING WITH COMPUTERS
(2022)