Data/hora: 21/09/2024 13:47:07

Biblioteca(s): 	Embrapa Meio Ambiente.	
Tipo da produção científica: 	Artigo em Anais de Congresso	
Data corrente: 	13/12/2019	
Data da última atualização: 	21/01/2020	
Autoria: 	REIS, J. C. dos; BONACIN, R.; CORREA, A.; PEREIRA, F. E. D.; PIEROZZI JUNIOR, I.; TORQUATO, S. A.; CARDOSO JUNIOR, J. L.; JESUS, K. R. E. de; ARAUJO, O. F. N.	
Afiliação: 	JULIO CESAR DOS REIS, IC-UNICAMP; RODRIGO BONACIN, INIFACCAMP; ANDREIWID CORREA, IFSP; FRANCISCO EDENEZIANO D PEREIRA; IVO PIEROZZI JUNIOR, CNPTIA; SERGIO A TORQUATO, IEA; JARBAS L CARDOSO JUNIOR, CTI Rnato Archer; KATIA REGINA EVARISTO DE JESUS, SIRE; OLGA FERNANDA N ARAUJO, CTI Renato Archer.	
Título: 	A framework for designing cognitive assistants to support agricultural production systems.	
Ano de publicação: 	2018	
Fonte/Imprenta: 	In: IEEE INTERNATIONAL CONFERENCE ON ENABLING TECHNOLOGIES, 27., 2018, Paris. Infrastructure for collaborative enterprises: proceedings. Paris: Institute of Electrical and Electronics Engineers, 2018.	
Páginas: 	p. 281-284.	
Idioma: 	Inglês	
Conteúdo: 	Abstract: Cognitive assistants bring new opportunities to strengthen the coupling of data, information and knowledge aiming to collective intelligence. This technology can boost decision making on complex issues, such as Sustainability and Bioeconomy on agricultural production systems. However, the design of collaborative systems that explore cognitive assistants is an open research question. This challenge deals with meaning interpretation and involves semantic formal models to represent, in a systemic view, knowledge related to the structures, competencies, responsibilities, policies, and culture of a production system. In this paper, we propose a design framework for the development of solutions based on cognitive assistant technology. This framework contributes to a novel view of the design process by integrating a method for modeling complex system with formal semantic models, collective intelligent systems, and cognitive assistant development technologies. A scenario in a sugarcane production system illustrates the proposed framework.	
Palavras-Chave: 	Cognitive assistant design; Complex systems modelling; Digital agriculture; Semantic technologies.	
Thesaurus Nal: 	Computer software; Knowledge.	
Categoria do assunto: 	X Pesquisa, Tecnologia e Engenharia	
Registro original: 	Embrapa Meio Ambiente (CNPMA)	
Exemplares: 	CNPMA - (16651-1) - UPC - PC - DD -  -  -  - DIS