A Methodological Approach to Model CBR-based Systems

Autor:	Oliveira, Eliseu M., Reale, Rafael F., Martins, Joberto S. B.
Rok vydání:	2020
Předmět:	Computer Science - Artificial Intelligence Computer Science - Machine Learning Computer Science - Networking and Internet Architecture I.2.1 F.4.1
Zdroj:	Journal of Computer and Communications, September 2020, ISSN Online: 2327-5227
Druh dokumentu:	Working Paper
DOI:	10.4236/jcc.2020.89001
Popis:	Artificial intelligence (AI) has been used in various areas to support system optimization and find solutions where the complexity makes it challenging to use algorithmic and heuristics. Case-based Reasoning (CBR) is an AI technique intensively exploited in domains like management, medicine, design, construction, retail and smart grid. CBR is a technique for problem-solving and captures new knowledge by using past experiences. One of the main CBR deployment challenges is the target system modeling process. This paper presents a straightforward methodological approach to model CBR-based applications using the concepts of abstract and concrete models. Splitting the modeling process with two models facilitates the allocation of expertise between the application domain and the CBR technology. The methodological approach intends to facilitate the CBR modeling process and to foster CBR use in various areas outside computer science. Comment: pp 1-16, 3 figures
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2009.04346 Zobrazit plný text záznamu View this record from Arxiv