Research initiative, treatment action : RITA最新文献_第2页

Using the Myers-Briggs Type Indicator (MBTI) for Modeling Multiagent Systems 使用Myers-Briggs类型指标(MBTI)建模多智能体系统

Research initiative, treatment action : RITA Pub Date : 2022-01-11 DOI: 10.22456/2175-2745.110015

Luiz Fernando Braz, Jaime Simão Sichman

{"title":"Using the Myers-Briggs Type Indicator (MBTI) for Modeling Multiagent Systems","authors":"Luiz Fernando Braz, Jaime Simão Sichman","doi":"10.22456/2175-2745.110015","DOIUrl":"https://doi.org/10.22456/2175-2745.110015","url":null,"abstract":"The formation of high-performance teams has been a constant challenge for organizations, which despite considering human capital as one of the most important resources, it still lacks the means to allow them to have a better understanding of several factors that influence the formation of these teams. In this sense, studies also demonstrate that teamwork has a significant impact on the results presented by organizations, in which human behavior is highlighted as one of the main aspects to be considered in the building of work teams. The Myers-Briggs Type Indicator seeks to classify the behavioral preferences of individuals around eight characteristics, which grouped as dichotomies, describe different psychological types. With it, researchers have sought to expand the ability to understand the human factor, using strategies with multiagent systems that, through experiments and simulations, using computer resources, enable the development of artificial agents that simulate human actions. In this work, we present an overview of the research approaches that use MBTI to model agents, aiming at providing a better knowledge of human behavior. Additionally, we make a preliminary discussion of how these results could be explored in order to advance the studies of psychological factors' influence in organizations' work teams formation.","PeriodicalId":82472,"journal":{"name":"Research initiative, treatment action : RITA","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87092865","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

An Agent-Based Model for Simulating Irrigated Agriculture in the Samambaia Basin in Goiás 基于agent的Goiás Samambaia流域灌溉农业模拟模型

Research initiative, treatment action : RITA Pub Date : 2021-08-29 DOI: 10.22456/2175-2745.107041

Guido Dutra de Oliveira, Pedro Phelipe Gonçalves Porto, Conceição de Maria Albuquerque Alves, C. Ralha

引用次数: 1

Hash Tables for a Digital Lexicon 数字词典的哈希表

Research initiative, treatment action : RITA Pub Date : 2021-08-29 DOI: 10.22456/2175-2745.107128

Fábio Carlos Moreno, C. R. Barbosa, Edio Roberto Manfio

引用次数: 0

Centralized Algorithms Based on Clustering with Self-tuning of Parameters for Cooperative Target Observation 基于参数自整定聚类的协同目标观测集中算法

Research initiative, treatment action : RITA Pub Date : 2021-08-29 DOI: 10.22456/2175-2745.107154

J. Andrade, J. E. B. Maia, G. Campos

引用次数: 1

The Notification Oriented Paradigm Language to Digital Hardware as an Intuitive High-level Synthesis Tool

Research initiative, treatment action : RITA Pub Date : 2021-08-29 DOI: 10.22456/2175-2745.112006

Ricardo Kerschbaumer, André Augusto Kaviatkovski, Gabriel Rodrigues Garcia, C. R. E. Lima, J. M. Simão

{"title":"The Notification Oriented Paradigm Language to Digital Hardware as an Intuitive High-level Synthesis Tool","authors":"Ricardo Kerschbaumer, André Augusto Kaviatkovski, Gabriel Rodrigues Garcia, C. R. E. Lima, J. M. Simão","doi":"10.22456/2175-2745.112006","DOIUrl":"https://doi.org/10.22456/2175-2745.112006","url":null,"abstract":"The parallelism allowed by FPGAs has attracted attention for knowing applications that need processing power. However, the need for specific and very technical development language has not stimulate its broad use. As an alternative, there are High-level Synthesis Languages (HSL), which allow less complicated FPGA use. However, they do not tend to take full advantage of the FPGA technology. Therefore, another alternative was developed, based on the Notification Oriented Paradigm (NOP), called NOP for Digital Hardware (NOP-DH). NOP allows development in high level with its rule-oriented language called NOPL. Its entity decoupling, parallelism, and redundancy avoidance are useful for best performance. In turn, the NOP-DH brings NOP for the FPGA context with the benefits observed in software but enhanced by hardware nature. This paper reviews the NOPL for NOP-DH (NOPL-DH) that aims high level programming for FPGA. The paper proposes the NOPL-DH test by independent developers, by developing a monitoring device for a box transporting bidirectional conveyer. As a result, NOPL-DH allowed high-level development under the NOP-DH structure in an FPGA, without the need for technical knowledge and, still, maintaining and exploring the NOP properties in FPGA","PeriodicalId":82472,"journal":{"name":"Research initiative, treatment action : RITA","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72463480","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Ab Initio Protein Structure Prediction Using Evolutionary Approach: A Survey 从头开始用进化方法预测蛋白质结构:综述

Research initiative, treatment action : RITA Pub Date : 2021-08-29 DOI: 10.22456/2175-2745.111993

Lucas Siqueira, Sandra M. Venske

引用次数: 3

Classification Based on Rules for the Study of Cotton Productivity in the State of Mato Grosso 基于规则的马托格罗索州棉花生产力分类研究

Research initiative, treatment action : RITA Pub Date : 2021-08-29 DOI: 10.22456/2175-2745.108126

A. Silva, C. Vaz, E. Ferreira, R. Galbieri

{"title":"Classification Based on Rules for the Study of Cotton Productivity in the State of Mato Grosso","authors":"A. Silva, C. Vaz, E. Ferreira, R. Galbieri","doi":"10.22456/2175-2745.108126","DOIUrl":"https://doi.org/10.22456/2175-2745.108126","url":null,"abstract":"The advance of cotton farming in the Brazilian savannah boosted and made possible a highly technified, efficient and profitable production, elevating the country from the condition of cotton fiber importer in the 70s to one of the main exporters so far. Despite the increasing contribution of technologies such as transgenic cultivars, machines, inputs and more efficient data management, in recent years there has been a stagnation of cotton productivity in the State of Mato Grosso (MT). Data Mining (MD) techniques offer an excellent opportunity to assess this problem. Through the rules-based classification applied to a real database (BD) of cotton production in MT, factors were identified that were affecting and consequently limiting the increase in productivity. In the pre-processing of the data, we perform the attributes, selection, transformation and identification of outliers. Numerical attributes were discretized using automatic techniques: Kononenko (KO), Better Encoding (BE) and combination: KO + BE. In modeling the rule algorithms used were PART and JRip, both implemented in the WEKA tool. Performance was assessed using statistical metrics: accuracy, recall, cost and their combination using the I_FC index (created by the authors). Results showed better performance for the PART classifier, with discretization by the KO + BE technique, followed by binary conversion. The analysis of the rules made it possible to identify the attributes that most impact productivity. This article is an excerpt from an ICMC/USP Professional Master's Dissertation in Science carried out in São Carlos-SP/BR.","PeriodicalId":82472,"journal":{"name":"Research initiative, treatment action : RITA","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78077809","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Efficient Breast Cancer Classification Using Histopathological Images and a Simple VGG 利用组织病理图像和简单的VGG进行乳腺癌的有效分类

Research initiative, treatment action : RITA Pub Date : 2021-07-18 DOI: 10.5753/bresci.2021.15783

Marcelo Luis Rodrigues Filho, O. Cortes

引用次数: 3

Integrating Exploitative and Explorative Thinking in Business Process Analysis: A Conceptual Model and Method 在业务流程分析中整合利用性与探索性思维:一个概念模型与方法

Research initiative, treatment action : RITA Pub Date : 2021-01-19 DOI: 10.22456/2175-2745.106891

C. Alves, H. Santos

引用次数: 2

Overload Control in a Token Player for a Fuzzy Workflow Management System 模糊工作流管理系统令牌播放器的过载控制

Research initiative, treatment action : RITA Pub Date : 2021-01-19 DOI: 10.22456/2175-2745.105893

Felipe Nedopetalski, Joslaine Cristina Jeske de Freitas

引用次数: 0