Inclusão e deficiência: em busca das representações sociais na mídia impressa em Natal/RN

This thesis is the result of an extensive research on print media discourse on the inclusion of disabled people in society. Articles published in the newspapers Diário de Natal/O Poti and Tribuna do Norte from 1992 to 2002 have been analyzed. Beginning with the very same questions that moved Moscovici (1978) in his classic study La Psychalyse son image et son public , according to which the media play a predominant role in the formation and propagation of social representations as well as in the construction of human behaviors, we have chosen this mass media as our investigation field. Understanding the importance of the communication theory, we intend to associate it to the social representation theory, since communication, as an aspiration, relates to the fundamentals of all humanity (WOLTON, 2004, p. 56). Moreover, means of communication represent an important space for symbolic production and representational process, allowing the analysis of the circulating discourses on social inclusion and disability. Based on these questions, we have determined social representations present in print media on the subject to be our study object. This objective was elected due to the fact that the thematic of disability and inclusion is scarcely and sporadically found in journalistic speech. The research questions have been: which is the representation of disabled people s condition in print media? What changes have occurred during the analyzed period and which was the role played by print media in this process? The research corpus was composed of newspaper articles about various aspects concerning disability and of free word association by reporters. We have analysed: 1) graphical language promoted by the picture of the substances propagated in the period from 1992 a 2002; 2) free word association experiments carried out with reporters of both newspapers; and 3) texts published from 1996 to 1997 using the high-tech program ALCESTE (Contextual Lexical Analysis of a Set of Segments of Texts). The results revealed that the print media in Natal/RN refer to the topic in a discontinuous way, and depend on specific events to highlight disabled people s fight for their rights. Social inclusion is still a great challenge for these people in all levels. We believe that this incapacity to overcome all kinds of obstacles is established in a dialectic relation between society and the media: society remains silent (the manifestation of interest for the cause only attracts some people s or groups attention) and the media, which selects which information is to be broadcasted, gives no evidence to the issue. This representation may be noticed in the infrequency in which articles about the subject are published, as well as in the emphasis to sports, a more important issue for the media. An implication of this study is that a new perspective is opened for analysis and reflection: the Paralympics games as both an inclusive and a segregating social phenomenon. It would be beautiful to have all of us together!

Aprendizado por Reforço com Valores deInfluência em Sistemas Multi-Agente

We propose a new paradigm for collective learning in multi-agent systems (MAS) as a solution to the problem in which several agents acting over the same environment must learn how to perform tasks, simultaneously, based on feedbacks given by each one of the other agents. We introduce the proposed paradigm in the form of a reinforcement learning algorithm, nominating it as reinforcement learning with influence values. While learning by rewards, each agent evaluates the relation between the current state and/or action executed at this state (actual believe) together with the reward obtained after all agents that are interacting perform their actions. The reward is a result of the interference of others. The agent considers the opinions of all its colleagues in order to attempt to change the values of its states and/or actions. The idea is that the system, as a whole, must reach an equilibrium, where all agents get satisfied with the obtained results. This means that the values of the state/actions pairs match the reward obtained by each agent. This dynamical way of setting the values for states and/or actions makes this new reinforcement learning paradigm the first to include, naturally, the fact that the presence of other agents in the environment turns it a dynamical model. As a direct result, we implicitly include the internal state, the actions and the rewards obtained by all the other agents in the internal state of each agent. This makes our proposal the first complete solution to the conceptual problem that rises when applying reinforcement learning in multi-agent systems, which is caused by the difference existent between the environment and agent models. With basis on the proposed model, we create the IVQ-learning algorithm that is exhaustive tested in repetitive games with two, three and four agents and in stochastic games that need cooperation and in games that need collaboration. This algorithm shows to be a good option for obtaining solutions that guarantee convergence to the Nash optimum equilibrium in cooperative problems. Experiments performed clear shows that the proposed paradigm is theoretical and experimentally superior to the traditional approaches. Yet, with the creation of this new paradigm the set of reinforcement learning applications in MAS grows up. That is, besides the possibility of applying the algorithm in traditional learning problems in MAS, as for example coordination of tasks in multi-robot systems, it is possible to apply reinforcement learning in problems that are essentially collaborative