El presente artículo empieza por referir la existencia de abogados inescrupulosos que
públicamente ofrecen sus servicios a personas que sugieren podría beneficiarse
económicamente con una demanda judicial por mala praxis médica, imputable a
tratamiento impropio o negligencia.
Procedimientos de esa…

O processo de Descoberta de Conhecimento em Bancos de Dados Geográficos (DCBDG) busca encontrar padrões, informações e relacionamento espacial implícitos em dados descritivos e espaciais armazenados em bancos de dados geográficos. Este tipo de descoberta é muito importante para o…

Software authors: Webster P. Dove and Cory Meyers ; Document author: Evangelos E. Milios., "October 1984.", Includes bibliographical references (p. 63) and index., Supported by Advanced Research Projects Agency, monitored by ONR. N00014-81-K-0742 NR-049-506. Supported by Sanders Associates, and an…

“La tecnología KDD está basada en un bien definido proceso KDD de múltiples pasos, para el descubrimiento de conocimiento en grandes colecciones de datos. El proceso KDD es iterativo por naturaleza, y depende de la interacción para la toma de…

Much Learning is done by way of studying precedents and exercises. A teacher supplies a story, gives a problem, and expects a student both to solve a problem and to discover a principle. The student must find the correspondence between…

The studies of anatomy and physiology are fundamental ingredients of medical education. This paper identifies six ways in which such functional knowledge serves as the underpinnings for general medical reasoning, and outlines the design of a computational model of common…

Many systems have been developed for constructing decision trees from collections of examples. Although the decision trees generated by these methods are accurate and efficient, they often suffer the disadvantage of excessive complexity that can render them incomprehensible to experts.…

This is a partial theory of thinking, combining a number of classical and modern concepts from psychology, linguistics, and AI. Whenever one encounters a new situation (or makes a substantial change in one's viewpoint) he selects from memory a structure…

The next generation of artificial intelligence programs will require the ability to organize knowledge as groups of active objects. Each object should have only its own local expertise, the ability to operate in parallel with other objects, and the ability…

As advances in computer architecture and changing economics make feasible machines with large-scale parallelism, Artificial Intelligence will require new ways of thinking about computation that can exploit parallelism effectively. We present the actor model of computation as being appropriate for…