An Agent-based Environment for Dynamic Positioning of the Fogg Behavior Model Threshold Line

In this paper, it is presented a mathematical modeling for the action line, or threshold line, of the Fogg Behavior Model (FBM) as well as an analysis of its positioning in relation to the dataset. According to the mathematical modeling formation process for both Motivation and Ability axes, the action line evaluation was performed by simulations via agents. This behavioral model is mainly used as an empirical evaluation method applied to processes based on persuasive technologies. The results showed that the threshold line should not be fixed, as originally proposed in the model, but dynamically allocated based on the Kolmogorov mean. This dynamic allocation ensures its use as a visual feature towards greater efficiency in triggers implementations. This work aims to contribute with an approach that transits between theoretical and practical when related to applications that requires the FBM, thus allowing the use of this behavioral model with higher degree of certainty and thus maximizing efficiency in the evaluation and implementation processes based on persuasive technologies

Aprendizado da ligação entre genes em computação evolutiva : uma nova abordagem baseada em estatísticas de baixa ordem /

Orientadora : Profª Drª Aurora Trinidad Ramirez PozoTese (doutorado) - Universidade Federal do Paraná, Setor de Ciencias Exatas e Setor de Tecnologia, Programa de Pós-Graduaçao em Métodos Numéricos em Engenharia. Defesa: Curitiba, 2007Inclui bibliografiaÁrea de concentração: Programação matemátic

Applying d-XChoquet integrals in classification problems

Several generalizations of the Choquet integral have been applied in the Fuzzy Reasoning Method (FRM) of Fuzzy Rule-Based Classification Systems (FRBCS's) to improve its performance. Additionally, to achieve that goal, researchers have searched for new ways to provide more flexibility to those generalizations, by restricting the requirements of the functions being used in their constructions and relaxing the monotonicity of the integral. This is the case of CT-integrals, CC-integrals, CF-integrals, CF1F2-integrals and dCF-integrals, which obtained good performance in classification algorithms, more specifically, in the fuzzy association rule-based classification method for high-dimensional problems (FARC-HD). Thereafter, with the introduction of Choquet integrals based on restricted dissimilarity functions (RDFs) in place of the standard difference, a new generalization was made possible: the d-XChoquet (d-XC) integrals, which are ordered directional increasing functions and, depending on the adopted RDF, may also be a pre-aggregation function. Those integrals were applied in multi-criteria decision making problems and also in a motor-imagery brain computer interface framework. In the present paper, we introduce a new FRM based on the d-XC integral family, analyzing its performance by applying it to 33 different datasets from the literature.Supported by Navarra de Servicios y Tecnologías, S.A. (NASERTIC), CNPq (301618/2019-4, 305805/2021-5), FAPERGS (19/2551-0001660-3), the Spanish Ministry of Science and Technology (TIN2016-77356-P, PID2019- 108392GB I00 (MCIN/AEI/10.13039/501100011033)

Um modelo computacional para a propagação de plantas anuais

Este trabalho apresenta um modelo computacional para a dinâmica populacional de plantas anuais. O modelo é baseado em autômatos celulares, com uma vizinhança de tamanho e geometria fixas. Simulações são descritas e o potencial expressivo dos modelos é exploradoThis paper presents models for the population dynamics of annual plants. It is a cellular automatabased model, where a neighbourhood with fixed size and geometry is adopted. Simulations are described and the expressiveness of each model is explore

Um modelo computacional para a propagação de plantas anuais

This paper presents models for the population dynamics of annual plants. It is a cellular automatabased model, where a neighbourhood with fixed size and geometry is adopted. Simulations are described and the expressiveness of each model is explored.Este trabalho apresenta um modelo computacional para a dinâmica populacional de plantas anuais. O modelo é baseado em autômatos celulares, com uma vizinhança de tamanho e geometria fixas. Simulações são descritas e o potencial expressivo dos modelos é explorado

Um modelo computacional para a propagação de plantas anuais

Este trabalho apresenta um modelo computacional para a dinâmica populacional de plantas anuais. O modelo é baseado em autômatos celulares, com uma vizinhança de tamanho e geometria fixas. Simulações são descritas e o potencial expressivo dos modelos é explorado

Aprendizado da ligação entre genes em computação evolutiva : uma nova abordagem baseada em estatísticas de baixa ordem

Orientadora : Profª Drª Aurora Trinidad Ramirez PozoTese (doutorado) - Universidade Federal do Paraná, Setor de Ciencias Exatas e Setor de Tecnologia, Programa de Pós-Graduaçao em Métodos Numéricos em EngenhariaBibliografia: f. 91-97Defesa: Curitiba, 2007Área de concentração: Programação matemátic

A computational model for the propagation of annual plants

Submitted by Eliezer Mendes Lopes ([email protected]) on 2015-04-22T23:40:38Z No. of bitstreams: 1 Um modelo computacional para a propagação de plantas anuais.pdf: 1647197 bytes, checksum: 02e77982f261ac420f9b5b0abcb3cc5b (MD5)Approved for entry into archive by Vitor de Carvalho ([email protected]) on 2015-05-29T23:00:13Z (GMT) No. of bitstreams: 1 Um modelo computacional para a propagação de plantas anuais.pdf: 1647197 bytes, checksum: 02e77982f261ac420f9b5b0abcb3cc5b (MD5)Made available in DSpace on 2015-05-29T23:00:13Z (GMT). No. of bitstreams: 1 Um modelo computacional para a propagação de plantas anuais.pdf: 1647197 bytes, checksum: 02e77982f261ac420f9b5b0abcb3cc5b (MD5) Previous issue date: 2006Este trabalho apresenta um modelo computacional para a dinâmica populacional de plantas anuais. O modelo é baseado em autômatos celulares, com uma vizinhança de tamanho e geometria fixas. Simulações são descritas e o potencial expressivo dos modelos é exploradoThis paper presents models for the population dynamics of annual plants. It is a cellular automatabased model, where a neighbourhood with fixed size and geometry is adopted. Simulations are described and the expressiveness of each model is explore