926 resultados para Adaptive learning, Sticky information, Inflation dynamics, Nonlinearities


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This paper presents an adaptive learning model for market-making under the reinforcement learning framework. Reinforcement learning is a learning technique in which agents aim to maximize the long-term accumulated rewards. No knowledge of the market environment, such as the order arrival or price process, is assumed. Instead, the agent learns from real-time market experience and develops explicit market-making strategies, achieving multiple objectives including the maximizing of profits and minimization of the bid-ask spread. The simulation results show initial success in bringing learning techniques to building market-making algorithms.

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As people get older, they tend to remember more positive than negative information. This age-by-valence interaction has been called “positivity effect.” The current study addressed the hypotheses that baseline functional connectivity at rest is predictive of older adults' brain activity when learning emotional information and their positivity effect in memory. Using fMRI, we examined the relationship among resting-state functional connectivity, subsequent brain activity when learning emotional faces, and individual differences in the positivity effect (the relative tendency to remember faces expressing positive vs. negative emotions). Consistent with our hypothesis, older adults with a stronger positivity effect had increased functional coupling between amygdala and medial PFC (MPFC) during rest. In contrast, younger adults did not show the association between resting connectivity and memory positivity. A similar age-by-memory positivity interaction was also found when learning emotional faces. That is, memory positivity in older adults was associated with (a) enhanced MPFC activity when learning emotional faces and (b) increased negative functional coupling between amygdala and MPFC when learning negative faces. In contrast, memory positivity in younger adults was related to neither enhanced MPFC activity to emotional faces, nor MPFC–amygdala connectivity to negative faces. Furthermore, stronger MPFC–amygdala connectivity during rest was predictive of subsequent greater MPFC activity when learning emotional faces. Thus, emotion–memory interaction in older adults depends not only on the task-related brain activity but also on the baseline functional connectivity.

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Our digital universe is rapidly expanding,more and more daily activities are digitally recorded, data arrives in streams, it needs to be analyzed in real time and may evolve over time. In the last decade many adaptive learning algorithms and prediction systems, which can automatically update themselves with the new incoming data, have been developed. The majority of those algorithms focus on improving the predictive performance and assume that model update is always desired as soon as possible and as frequently as possible. In this study we consider potential model update as an investment decision, which, as in the financial markets, should be taken only if a certain return on investment is expected. We introduce and motivate a new research problem for data streams ? cost-sensitive adaptation. We propose a reference framework for analyzing adaptation strategies in terms of costs and benefits. Our framework allows to characterize and decompose the costs of model updates, and to asses and interpret the gains in performance due to model adaptation for a given learning algorithm on a given prediction task. Our proof-of-concept experiment demonstrates how the framework can aid in analyzing and managing adaptation decisions in the chemical industry.

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The l1-norm sparsity constraint is a widely used technique for constructing sparse models. In this contribution, two zero-attracting recursive least squares algorithms, referred to as ZA-RLS-I and ZA-RLS-II, are derived by employing the l1-norm of parameter vector constraint to facilitate the model sparsity. In order to achieve a closed-form solution, the l1-norm of the parameter vector is approximated by an adaptively weighted l2-norm, in which the weighting factors are set as the inversion of the associated l1-norm of parameter estimates that are readily available in the adaptive learning environment. ZA-RLS-II is computationally more efficient than ZA-RLS-I by exploiting the known results from linear algebra as well as the sparsity of the system. The proposed algorithms are proven to converge, and adaptive sparse channel estimation is used to demonstrate the effectiveness of the proposed approach.

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No início dos anos 90, começou a ser observada uma queda e uma maior estabilização da inflação mundial, principalmente em economias desenvolvidas. Esse fenômeno também foi observado em economias em desenvolvimento como a brasileira, protagonistas de momentos de hiperinflação em um passado recente. Com a queda substancial da inflação mundial, alguns economistas sugerem que se incorporem os efeitos dos fatores globais na dinâmica da inflação doméstica. Este presente estudo tem por objetivo verificar se fatores externos têm reduzido a sensibilidade dos preços domésticos às condições econômicas exclusivamente domésticas. É feita uma análise do papel dos preços internacionais na dinâmica da taxa de inflação no Brasil através de estudos da dinâmica da curva de Phillips, a partir da metodologia VAR. Através dos resultados obtidos, concluiu-se que apesar de boa parte da estabilidade da inflação ser conseqüência da credibilidade da política monetária adotada pelo Banco Central, da maneira como ele consegue ancorar essas expectativas e da adoção de boas práticas monetárias e fiscais, não se pode negar o importante papel dos fatores globais na dinâmica da inflação brasileira.

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This study discusses the use of information technologies for knowledge management in networks of franchises in the Rio Grande do Norte/Brazil, whose management and operation are complex activities, characterized by the geographic spread of their network unities, creating barriers to communication and information sharing between franchisors, franchisees and final customers. In view of this, the following hypotheses were formulated: the knowledge management can be a positive alternative for improving communication between units; and information technology can eliminate many problems related mainly to capture and share knowledge. In general, it aims to investigate, in qualitative and quantitative aspects, how information technology can support knowledge management in networks of franchises. Specifically purposes to register the existence of managerial practices related to knowledge management in enterprises at the franchising sector; to verify whether they have the technological resources with the potential to facilitate the sharing of information; to identify what are the technologies of information and communication used in the organizational environment; and suggest measures that will facilitate the process of organizational learning, using information technology and communication as tools. It concludes that knowledge management becomes a positive alternative, especially in strengthening of bonds of communication and sharing of knowledge between the franchises. In this regard, information technology must provide all the services of the corporation to facilitate communication between franchisor and franchisee, through a single and integrated system. However, they still show unsuitable for more sophisticated technology platforms

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The aim of the present paper is to reorganize a discipline on technological physics so that the construction site of civil engineering becomes a natural environment of learning, providing the learner with the association between theory and practice as well as allowing the subject to process, in real time, information generated from his cognitive constructions and his contextualizations. Thus, a sequence of actions was taken into account: firstly, the programme was developed in the classroom, sharing with its contextualized information through experiments done under supervision by the learners in laboratories; secondly, the data which associate physics with construction were collected and, to do so, technical visits to construction sites were realized, providing the learner the association between the theory and the practice in a suitable site to the constructivist approach. As a result, the first discipline on physics of the Curso de Tecnólogos em Gerência de Obras de Edificações do CEFET/PB was re-structured in terms of syllabus, methodology, application and evaluation. In fact, this work deals with a dynamic process that gathers and gives emphasis to teaching, learning, technology, information, creativity, competence and abilities in a constructivist learning process and, as a consequence, having allowed institutional engagement

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Displays the context of the Project Network cooperation and learning in information science: PPGCI / UFPB and PPGCI / UNESP / Marilia, under the National Program of Academic Cooperation - Action New Frontiers (NF-Procad) Coordination for the Improvement of Higher (CAPES). Describes the procedures for financing, consisting of Missions Studies, Missions Teaching and Research and Post-Doctoral Internship in the country highlights the Groups and Research areas involved in the project and discusses the theoretical approach adopted and the conceptual network that guides actions teaching and research. We report the activities in the first two years of the project and discusses ongoing and planned activities.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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The search for international impact and the need to create formal or informal networks of academic cooperation are some of the most common features of the current training offered by many universities. Aware of this difficulty and the desirability of creating synergies to enrich teaching and academic collaboration networks between universities, an experience is presented, in the context of the teaching of Information and Documentation, of inter-university collaboration for the joint design of learning activities and skills assessment, developed by teachers in the public universities of Zaragoza and Salamanca (Spain) and the São Paulo Universidade Estadual Paulista Júlio de Mesquita Filho (São Paulo, Brazil). The experience is developed using models that facilitate the structuring of learning activities aimed at the acquisition of common skills. Each activity that is proposed and developed is recorded in a spreadsheet which collects the information arranged in various fields such as: description, skills, objectives, expected learning outcomes, tools, required resources and materials, evaluation criteria, amongst others, so that the student can see what he is asked to do, how to do it and how useful it will be. This way of designing skills-based learning activities is possible, in geographically diverse academic settings through the use of Information Technology and Communication, enabling both remote cooperation between teachers and also materials offered on the platforms of each of the universities.

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Bio-molecular computing, 'computations performed by bio-molecules', is already challenging traditional approaches to computation both theoretically and technologically. Often placed within the wider context of ´bio-inspired' or 'natural' or even 'unconventional' computing, the study of natural and artificial molecular computations is adding to our understanding of biology, physical sciences and computer science well beyond the framework of existing design and implementation paradigms. In this introduction, We wish to outline the current scope of the field and assemble some basic arguments that, bio-molecular computation is of central importance to computer science, physical sciences and biology using HOL - Higher Order Logic. HOL is used as the computational tool in our R&D work. DNA was analyzed as a chemical computing engine, in our effort to develop novel formalisms to understand the molecular scale bio-chemical computing behavior using HOL. In our view, our focus is one of the pioneering efforts in this promising domain of nano-bio scale chemical information processing dynamics.

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Pós-graduação em Educação Escolar - FCLAR

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A good night sleep is part of a healthy lifestyle. However, children and adolescents replace sleeping hours by several other activities. This project aimed to disseminate information about sleeping and stimulate some reflections about the risk factors to health arising frompersonal and collective habits. A group of 1014 junior high school students from five schools in the city of Assis-SP, participated in the project. The students visited an exhibition about the theme "sleeping and health" and took part of group assignments. Issues related to sleeping and alternatives to promote healthy sleeping habits in day-life context were discussed. The activities were planned and executed by six trainees under the supervision of the responsible teacher. The majority of the visitors reported pleasure (90% of students) and interest in the subject; (85%) enjoyed learning new information about it (93%). Among the activities performed, 25% of visitors particularly enjoyed playful educational activities, 19% the oral presentation and 23% all the activities without distinction. Group discussion on everyday situations encouraged the adolescents to reevaluate previous experiences and knowledge that were not always consistent with current scientific knowledge. Undergraduate students had a rich practical opportunity that stimulated them to create health education strategies for adolescents. Some adolescents got more involved in the activities and others were more stimulated by the change of school routine. The activities were feasible and can be designed according to the target public. Certainly individual experience was sporadic and we suggest that future projects might be improved by stimulating bigger schools and more teachers to participate.

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Nutcracking capuchins are mentioned in reports dating as far back as the sixteenth century,(1,2) as well as in Brazilian folklore.(3) However, it was barely a decade ago that primatologists ""discovered"" the spontaneous use of stones to crack nuts in a semi-free ranging group of tufted capuchin monkeys. Since then, we have found several more capuchin populations in savanna-like environments which(5-7) employ this form of tool use. The evidence so far only weakly supports geneti cally based behavioral differences between populations and does not suggest that dietary pressures in poor environments are proximate determinants of the likelihood of tool use. Instead, tool use within these capuchin populations seems to be a behavioral tradition that is socially learned and is primarily associated with more terrestrial habits. However, differences in the diversity of ""tool kits"" between populations remain to be understood.