Ce manuel propose une approche originale en schémas pour faciliter la compréhension et la mémorisation des notions essentielles de la Responsabilité sociale des entreprises. Chaque notion est ainsi envisagée selon deux angles présentés en face à face : Le cours traditionnel en page de gauche sur les notions fondamentales ;Des schémas explicatifs en page de droite pour une meilleure visualisation des notions.

This book contains 22 long papers and 13 short ones selected for the Scientific Track of the Third Congress of the Italian Association for Artificial Intelligence. The long papers report completed work whereas the short papers are mainly devoted to ongoing research. The papers report significant work carried out in the different subfields of artificial intelligence not only in Italy but also elsewhere: 8 of the papers come from outside Italy, with 2 from the United States and 1 eachfrom Australia, Austria, Germany, The Netherlands, Spain, and Turkey. The papers in the book are grouped into parts on: automated reasoning; cognitive models; connectionist models and subsymbolic approaches; knowledge representation and reasoning; languages, architectures and tools for AI; machine learning; natural language; planning and robotics; and reasoning about physical systems and artifacts.

Examines differences in taste between modern French classes, discusses the relationship between culture and politics, and outlines the strategies of pretension.

The Didache in Context contains an intriguing look into the background of the Didache, exploring the influence of the text upon the development of early Christianity. It offers an insightful collection of essays that have been gathered from the research efforts of numerous biblical and patristic scholars from around the world. The book seeks to explore questions that relate to the composition of the text itself, the history of the role and function of the Didache within early Christian circles, and the influence of the manuscript upon early Christian traditions and trends of thought. In addition to the numerous, individual investigations that are featured here, the collection includes a fresh translation of the text in English and a comprehensive, up-to-date bibliography of literature on the Didache.

In a rapidly changing world, there is an ever-increasing need to monitor the Earth’s resources and manage it sustainably for future generations. Earth observation from satellites is critical to provide information required for informed and timely decision making in this regard. Satellite-based earth observation has advanced rapidly over the last 50 years, and there is a plethora of satellite sensors imaging the Earth at finer spatial and spectral resolutions as well as high temporal resolutions. The amount of data available for any single location on the Earth is now at the petabyte-scale. An ever-increasing capacity and computing power is needed to handle such large datasets. The Google Earth Engine (GEE) is a cloud-based computing platform that was established by Google to support such data processing. This facility allows for the storage, processing and analysis of spatial data using centralized high-power computing resources, allowing scientists, researchers, hobbyists and anyone else interested in such fields to mine this data and understand the changes occurring on the Earth’s surface. This book presents research that applies the Google Earth Engine in mining, storing, retrieving and processing spatial data for a variety of applications that include vegetation monitoring, cropland mapping, ecosystem assessment, and gross primary productivity, among others. Datasets used range from coarse spatial resolution data, such as MODIS, to medium resolution datasets (Worldview -2), and the studies cover the entire globe at varying spatial and temporal scales.