All intelligence relies on search --- for example, the search for an intelligent agent's next action. Search is only likely to succeed in resource-bounded agents if they have already been biased towards finding the right answer. In artificial agents, the…

El presente plan de negocio pretende implantar la empresa Bolsos Maki Minkay
Cía.Ltda., en la producción y comercialización de carteras y bolsos de tela, con
mano de obra del Centro de Rehabilitación de Mujeres de Quito priorizando la
responsabilidad social…

El Proyecto Avión No Tripulado - Galápagos UAV comprende el desarrollo de diferentes
prototipos consecutivos de aviones no tripulados desarrollados a partir del conocimiento de
estudiantes de diferentes facultades del colegio Politécnico, conjunto con el conocimiento
profesional de profesores pertenecientes…

Ensuring environmental sustainability is the aim of the seventh Millennium Development Goal (MDG7). United Nations data shows insufficient progress, especially in developing countries. In order to generate new information about this progress and the main barriers that hinder it, we…

Data from a network of experiments conducted during 1998 for 25 maize cultivars and 30 hybrids cultivated in 19 and 16 different environments, respectively, in the states of Piaui, Rio Grande do Norte, Pernambuco, Alagoas, Sergipe, and Bahia, Brazil, were…

In recent years, researchers in artificial intelligence have become interested in replicating human physical reasoning talents in computers. One of the most important skills in this area is predicting how physical systems will behave. This thesis discusses an implemented program…

This paper describes a system for the computer understanding of English. The system answers questions, executes commands, and accepts information in normal English dialog. It uses semantic information and context to understand discourse and to disambiguate sentences. It combines a…

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…

We have developed a technique called RISE (Random Image Structure Evolution), by which one may systematically sample continuous paths in a high-dimensional image space. A basic RISE sequence depicts the evolution of an object's image from a random field, along…

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