Fernando de Rojas

Eduardo Alonso

La Celestina, obra cumbre de la literatura española y universal, es el nombre con el que, desde finales del siglo XVI, se conoce a la Comedia de Calisto y Melibea. Esta adaptación, más breve que la obra original, incluye notas y comentarios para los lectores actuales que quieran conocer una obra indispensable en los cimientos de la novela y el teatro modernos

La Celestina/ The Celestina

El Lazarillo de Tormes

blancos y colorados frente a la dictadura, 1973-1985

Clandestinos

Miguel de Cervantes Saavedra

Martín de Riquer

Esta edición de la inmortal obra de Cervantes es una adaptación del escritor Eduardo Alonso quien, para hacer más accesible esta famosa obra a los lectores más jóvenes, decidió reducir el original sólo a una tercera, pero sí manteniendo la mayor parte del lenguaje original. El autor escribió esta obra con el fin de parodiar los libros de caballería porque encontraba que eran una sarta de disparates desprovistos de todo interés. Por eso ideó la historia de un hidalgo aldeano quien, con su fiel Sancho Panza, participa en una serie de delirantes aventuras que provocan la hilaridad del lector. En esta obra maestra, el autor nos revela la importancia de los ideales como el valor de la libertad y la justicia. Nos advierte que no siempre es fácil distinguir la realidad de la apariencia.

Don Quijote de la Mancha

Daniel Kudenko

Dimitar Kazakov

Adaptive agents and multi-agent systems is an emerging and exciting interdisciplinary area of research and development involving artificial intelligence, software engineering, and developmental biology, as well as cognitive and social science. This book presents 17 revised and carefully reviewed papers taken from two workshops on the topic as well as 2 invited papers by leading researchers in the area. The papers deal with various aspects of machine learning, adaptation, and evolution in the context of agent systems and autonomous agents.

Adaptation and Multi-Agent Learning

Adaptive Agents and Multi-Agent Systems II

Adaptive Agents and Multi-Agent Systems is an emerging and exciting interdisciplinary area of research and development involving artificial intelligence, computer science, software engineering, and developmental biology, as well as cognitive and social science. This book surveys the state of the art in this emerging field by drawing together thoroughly selected reviewed papers from two related workshops; as well as papers by leading researchers specifically solicited for this book. The articles are organized into topical sections on - learning, cooperation, and communication - emergence and evolution in multi-agent systems - theoretical foundations of adaptive agents

Adaptive Agents and Multi-Agent Systems

la soledad de un corazón sombrío

Soledades, galerías, otros poemas de Antonio Machado

James Fern

Alexander Rohe

Kenichi Soga

This practical guide provides the best introduction to large deformation material point method (MPM) simulations for geotechnical engineering. It provides the basic theory, discusses the different numerical features used in large deformation simulations, and presents a number of applications -- providing references, examples and guidance when using MPM for practical applications. MPM covers problems in static and dynamic situations within a common framework. It also opens new frontiers in geotechnical modelling and numerical analysis. It represents a powerful tool for exploring large deformation behaviours of soils, structures and fluids, and their interactions, such as internal and external erosion, and post-liquefaction analysis; for instance the post-failure liquid-like behaviours of landslides, penetration problems such as CPT and pile installation, and scouring problems related to underwater pipelines. In the recent years, MPM has developed enough for its practical use in industry, apart from the increasing interest in the academic world.

Eduardo Alonso

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