Rafael Garcia Barbosa, Maria Andréia Formico Rodrigues
{"title":"An interchangeable editor to create generic and adaptable decision trees for versatile applications and game development scenarios","authors":"Rafael Garcia Barbosa, Maria Andréia Formico Rodrigues","doi":"10.1016/j.entcom.2024.100864","DOIUrl":null,"url":null,"abstract":"<div><p>This paper introduces a novel software tool developed to serve as an editor for the manual construction of decision trees, characterized by their generic nature, flexibility, and adaptability across a wide range of applications and game development scenarios. The editor enables straightforward definition and modification of decision tree elements and data, dynamically updating to meet changing needs and contexts. A key feature of this tool is its capability to export decision trees in a standardized interchange format, enhancing interoperability by allowing seamless integration with other computational platforms, including game engines. We demonstrate the utility and versatility of our editor with three distinct and comprehensive use cases, highlighting its potential as a significant contribution to interactive technology. The tool facilitates the development of decision trees, enhancing informed decision-making and strategic planning, and supports personalized learning to improve engagement and outcomes.</p></div>","PeriodicalId":55997,"journal":{"name":"Entertainment Computing","volume":"52 ","pages":"Article 100864"},"PeriodicalIF":2.8000,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Entertainment Computing","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1875952124002325","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, CYBERNETICS","Score":null,"Total":0}
引用次数: 0
Abstract
This paper introduces a novel software tool developed to serve as an editor for the manual construction of decision trees, characterized by their generic nature, flexibility, and adaptability across a wide range of applications and game development scenarios. The editor enables straightforward definition and modification of decision tree elements and data, dynamically updating to meet changing needs and contexts. A key feature of this tool is its capability to export decision trees in a standardized interchange format, enhancing interoperability by allowing seamless integration with other computational platforms, including game engines. We demonstrate the utility and versatility of our editor with three distinct and comprehensive use cases, highlighting its potential as a significant contribution to interactive technology. The tool facilitates the development of decision trees, enhancing informed decision-making and strategic planning, and supports personalized learning to improve engagement and outcomes.
期刊介绍:
Entertainment Computing publishes original, peer-reviewed research articles and serves as a forum for stimulating and disseminating innovative research ideas, emerging technologies, empirical investigations, state-of-the-art methods and tools in all aspects of digital entertainment, new media, entertainment computing, gaming, robotics, toys and applications among researchers, engineers, social scientists, artists and practitioners. Theoretical, technical, empirical, survey articles and case studies are all appropriate to the journal.