3 resultados para standard batch algorithms

em Universidade Federal do Rio Grande do Norte(UFRN)


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The central interest of this thesis is to comprehend how the public action impels the formation and transformation of the tourist destinies. The research was based on the premise that the public actions are the result of the mediation process of state and non-state actors considered important in a section, which interact aiming for prevailing their interests and world visions above the others. The case of Porto de Galinhas beach, in Pernambuco, locus of the investigation of this thesis, allowed the analysis of a multiplicity of actors on the formation and implementation of local actions toward the development of the tourism between the years 1970 and 2010, as well as permitted the comprehension of the construction of the referential on the interventions made. This thesis, of a qualitative nature, has as theoretical support the cognitive approach of analysis of the public policies developed in France, and it has as main exponents the authors Bruno Jobert and Pierre Muller. This choice was made by the emphasis on the cognitive and normative factors of the politics, which aspects are not very explored in the studies of public policies in Brazil. As the source of the data collection, documental, bibliographic and field researches were utilized to the (re)constitution of the formation and transformation in the site concerned. The analysis techniques applied were the content and the documental analysis. To trace the public action referential, it started by the characterization of the touristic section frontiers and the creation of images by the main international body: the World Tourism Organization, of which analysis of the minutes of the meetings underscored guidelines to the member countries, including Brazil, which compounds the global-sectorial reference of the section. As from the analysis of the evolution of the tourism in the country, was identified that public policies in Brazil passed by transformations in their organization over the years, indicating changes in the referential that guided the interventions. These guidelines and transformations were identified in the construction of the tourist destination of Porto de Galinhas, of which data was systematized and presented in four historical periods, in which were discussed the values, the standard, the algorithms, the images and the important mediators. It has been revealed that the State worked in different roles in the decades analyzed in local tourism. From the 1990s, however, new actors were inserted in the formulation and implementation of policies developed, especially for local hotelkeepers. These, through their association, establishes a leadership relation in the local touristic section, thereby, they could set their hegemony and spread their own interest. The leadership acquired by a group of actors, in the case of Porto de Galinhas, does not mean that trade within the industry were neutralized, but that there is a cognitive framework that confronts the actors involved. In spite of the advances achieved by the work of the mediators in the last decades, that resulted in an amplification and diversification of the activity in the area, as well as the consolidation at the beach, as a tourist destiny of national standout, the position of the place is instable, concerned to the competitiveness, once that there is an situation of social and environmental unsustainability

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The central interest of this thesis is to comprehend how the public action impels the formation and transformation of the tourist destinies. The research was based on the premise that the public actions are the result of the mediation process of state and non-state actors considered important in a section, which interact aiming for prevailing their interests and world visions above the others. The case of Porto de Galinhas beach, in Pernambuco, locus of the investigation of this thesis, allowed the analysis of a multiplicity of actors on the formation and implementation of local actions toward the development of the tourism between the years 1970 and 2010, as well as permitted the comprehension of the construction of the referential on the interventions made. This thesis, of a qualitative nature, has as theoretical support the cognitive approach of analysis of the public policies developed in France, and it has as main exponents the authors Bruno Jobert and Pierre Muller. This choice was made by the emphasis on the cognitive and normative factors of the politics, which aspects are not very explored in the studies of public policies in Brazil. As the source of the data collection, documental, bibliographic and field researches were utilized to the (re)constitution of the formation and transformation in the site concerned. The analysis techniques applied were the content and the documental analysis. To trace the public action referential, it started by the characterization of the touristic section frontiers and the creation of images by the main international body: the World Tourism Organization, of which analysis of the minutes of the meetings underscored guidelines to the member countries, including Brazil, which compounds the global-sectorial reference of the section. As from the analysis of the evolution of the tourism in the country, was identified that public policies in Brazil passed by transformations in their organization over the years, indicating changes in the referential that guided the interventions. These guidelines and transformations were identified in the construction of the tourist destination of Porto de Galinhas, of which data was systematized and presented in four historical periods, in which were discussed the values, the standard, the algorithms, the images and the important mediators. It has been revealed that the State worked in different roles in the decades analyzed in local tourism. From the 1990s, however, new actors were inserted in the formulation and implementation of policies developed, especially for local hotelkeepers. These, through their association, establishes a leadership relation in the local touristic section, thereby, they could set their hegemony and spread their own interest. The leadership acquired by a group of actors, in the case of Porto de Galinhas, does not mean that trade within the industry were neutralized, but that there is a cognitive framework that confronts the actors involved. In spite of the advances achieved by the work of the mediators in the last decades, that resulted in an amplification and diversification of the activity in the area, as well as the consolidation at the beach, as a tourist destiny of national standout, the position of the place is instable, concerned to the competitiveness, once that there is an situation of social and environmental unsustainability

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In multi-robot systems, both control architecture and work strategy represent a challenge for researchers. It is important to have a robust architecture that can be easily adapted to requirement changes. It is also important that work strategy allows robots to complete tasks efficiently, considering that robots interact directly in environments with humans. In this context, this work explores two approaches for robot soccer team coordination for cooperative tasks development. Both approaches are based on a combination of imitation learning and reinforcement learning. Thus, in the first approach was developed a control architecture, a fuzzy inference engine for recognizing situations in robot soccer games, a software for narration of robot soccer games based on the inference engine and the implementation of learning by imitation from observation and analysis of others robotic teams. Moreover, state abstraction was efficiently implemented in reinforcement learning applied to the robot soccer standard problem. Finally, reinforcement learning was implemented in a form where actions are explored only in some states (for example, states where an specialist robot system used them) differently to the traditional form, where actions have to be tested in all states. In the second approach reinforcement learning was implemented with function approximation, for which an algorithm called RBF-Sarsa($lambda$) was created. In both approaches batch reinforcement learning algorithms were implemented and imitation learning was used as a seed for reinforcement learning. Moreover, learning from robotic teams controlled by humans was explored. The proposal in this work had revealed efficient in the robot soccer standard problem and, when implemented in other robotics systems, they will allow that these robotics systems can efficiently and effectively develop assigned tasks. These approaches will give high adaptation capabilities to requirements and environment changes.