Imagens da nação, do progresso e da tecnologia: a Exposição Universal de Filadélfia de 1876

Após considerar premissas sobre as imagens como representações sociais e sobre as Exposições Universais como um teatro privilegiado para a exibição daquela hermenêutica do real engendra-da pela transformação capitalista do mundo e pelo ideá rio burguês, incluindo ainda a dimensão utópica da época, a A. brevemente caracteriza a Exposição do Centenário (da Independência Americana), na Filadélfia, 1876. Comenta a presença de um pavilhão brasileiro e os ecos da visita do Imperador D.Pedro 11. Enfim, confronta sentidos divergentes, quer se trate da auto-imagem de sucesso do "sonho americano", quer das contradições de uma identidade brasileira que tenta incorporar a nova ética do trabalho livre mecanizado, numa sociedade escravocrata e vinculada ao mercado internacional

Goodwill under IFRS: relevance and disclosures in an unfavorable environment

The accounting treatment of purchased goodwill under IFRS has been severely criticized due to the extensive use of fair value accounting. The purpose of this study is to enrich the ongoing debate upon this issue by drawing attention to the market valuation implications of goodwill in a country outside the Anglo-Saxon accounting paradigm, where the application of fair value accounting has been seen as more problematic. The results indicate that, in the case of purchased goodwill, fair value accounting generates relevant accounting numbers but only in companies that comply highly with IFRS disclosure requirements

Meta Monte-Carlo Tree Search for Automatic Opening Book Generation

Modern game playing programs use opening books in order to perform better. Generating opening books automatically in combination with an αβ program has been well studied. A challenge is to generate automatically an opening book for the new Monte-Carlo Tree Search (MCTS) algorithms. In this article, we tackle this issue by combining two level of MCTS. The resulting algorithm is called Meta-MCTS. Instead of applying a simulation strategy, it uses an MCTS program to play a simulated game. We describe two Meta-MCTS algorithms: the first one, Quasi Best-First, favors exploitation. The second one, Beta Distribution Sampling, favors exploration. Our approach is generic and can be used for general game playing. Itwill be particularly usefulwhen there is off-line time avail- able. In order to evaluate the performances of these algorithms, we generated and tested 99 Go opening books