KittyCat: a cognitive model of structure-form discovery

Cognition is a core subject to understand how humans think and behave. In that sense, it is clear that Cognition is a great ally to Management, as the later deals with people and is very interested in how they behave, think, and make decisions. However, even though Cognition shows great promise as a field, there are still many topics to be explored and learned in this fairly new area. Kemp & Tenembaum (2008) tried to a model graph-structure problem in which, given a dataset, the best underlying structure and form would emerge from said dataset by using bayesian probabilistic inferences. This work is very interesting because it addresses a key cognition problem: learning. According to the authors, analogous insights and discoveries, understanding the relationships of elements and how they are organized, play a very important part in cognitive development. That is, this are very basic phenomena that allow learning. Human beings minds do not function as computer that uses bayesian probabilistic inferences. People seem to think differently. Thus, we present a cognitively inspired method, KittyCat, based on FARG computer models (like Copycat and Numbo), to solve the proposed problem of discovery the underlying structural-form of a dataset.

Capital structure in Brazil : review of studies during the period of 1988-2003

A systematic review was made of studies regarding the capital structure in Brazil during the period of 1988-2003. The recurring themes relate to the static tradeoff and pecking order in various moments of the economy, the fiscal benefits of indebtedness and interest on privately-owned capital, and the inefficacies of the stock market. The Brazilian companies enjoy little leverage as compared to other emerging markets. BNDES is responsible for 5% of the gross formation of fixed capital. The funding of resources occurs at opportune moments, and the financing decision may precede that of investment. Efficacy of the judiciary system and company transparency positively affect access to credit.