ARTÍCULO
TITULO

Development of Classification and Catalog of Software for Modeling Argumentation and Deliberative Reasoning

Elena Lisanyuk    
Dmitry Prokudin    

Resumen

As a result of the conducted research, we propose an approach to the development of a comprehensive classification of software applications, software and information systems designed for modeling and representation of argumentation, broad-based deliberative reasoning, support of decision-making processes and the formation of argumentation and critical thinking skills. The classification is based on the corpus of criteria developed as a result of this study, which determine the essential characteristics and functional features of such software, which must be taken into account when developing software for modeling argumentation, especially software with the function of evaluating arguments and finding solutions. The classification takes into account different types of justifications and counterarguments, the features of dialogues where arguments are given, and the structure of arguments of different types, including deliberative arguments. Based on the developed classification, a catalog is proposed in which descriptions of the corresponding software are made using the DCMES metadata scheme, which in the application plan is aimed at creating an electronic catalog in a machine-readable format. We have proposed a palliative solution for implementing the catalog in a machine-readable format. The proposed approach aims not only to support a rational and reasonable choice of software systems and applications for use in solving user tasks in the academic, research and educational communities, but also to serve as a tool for the prompt selection of appropriate software based on a search for metadata describing it.

 Artículos similares

       
 
Jie Ren, Changmiao Li, Yaohui An, Weichuan Zhang and Changming Sun    
Few-shot fine-grained image classification (FSFGIC) methods refer to the classification of images (e.g., birds, flowers, and airplanes) belonging to different subclasses of the same species by a small number of labeled samples. Through feature representa... ver más
Revista: AI

 
Peranut Nimitsurachat and Peter Washington    
Emotion recognition models using audio input data can enable the development of interactive systems with applications in mental healthcare, marketing, gaming, and social media analysis. While the field of affective computing using audio data is rich, a m... ver más
Revista: AI

 
Bahaa Yamany, Mahmoud Said Elsayed, Anca D. Jurcut, Nashwa Abdelbaki and Marianne A. Azer    
Ransomware is a type of malicious software that encrypts a victim?s files and demands payment in exchange for the decryption key. It is a rapidly growing and evolving threat that has caused significant damage and disruption to individuals and organizatio... ver más
Revista: Information

 
Waseem Abbas, Zuping Zhang, Muhammad Asim, Junhong Chen and Sadique Ahmad    
In the ever-expanding online fashion market, businesses in the clothing sales sector are presented with substantial growth opportunities. To utilize this potential, it is crucial to implement effective methods for accurately identifying clothing items. T... ver más
Revista: Information

 
Thomas Kopalidis, Vassilios Solachidis, Nicholas Vretos and Petros Daras    
Recent technological developments have enabled computers to identify and categorize facial expressions to determine a person?s emotional state in an image or a video. This process, called ?Facial Expression Recognition (FER)?, has become one of the most ... ver más
Revista: Information