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Computing systems including hardware, software, communication, and networks are becoming increasingly large and heterogeneous. In short, they have become - creasingly complex. Such complexity is getting even more critical with the ubiquitous permeation of embedded devices and other pervasive systems. To cope with the growing and ubiquitous complexity, autonomic computing (AC) focuses on self-manageable computing and communication systems that exhibit self-awareness, self-configuration, self-optimization, self-healing, self-protection and other self-* properties to the maximum extent possible without human intervention or guidance. Organic computing (OC) additionally addresses adaptability, robustness, and c- trolled emergence as well as nature-inspired concepts for self-organization. Any autonomic or organic system must be trustworthy to avoid the risk of losing control and retain confidence that the system will not fail. Trust and/or distrust relationships in the Internet and in pervasive infrastructures are key factors to enable dynamic interaction and cooperation of various users, systems, and services. Trusted/ trustworthy computing (TC) aims at making computing and communication systems––as well as services––available, predictable, traceable, controllable, asse- able, sustainable, dependable, persistent, security/privacy protectable, etc. A series of grand challenges exists to achieve practical autonomic or organic s- tems with truly trustworthy services. Started in 2005, ATC conferences have been held at Nagasaki (Japan), Vienna (Austria), Three Gorges (China), Hong Kong (China), Oslo (Norway) and Brisbane (Australia). The 2010 proceedings contain the papers presented at the 7th International Conference on Autonomic and Trusted Computing (ATC 2010), held in Xi’an, China, October 26–29, 2010.
This book constitutes the proceedings of the 13th International Conference on Intelligent Virtual Agents, IVA 2013, held in Edinburgh, UK, in August 2013. There was a total of 94 submissions. The 18 full and 18 short papers presented in this volume were carefully reviewed and selected for inclusion in the book. In addition, the volume lists the 34 posters which were on display during the conference. The papers are organized in topical sections named: cognitive models; applications; dialogue, language, speech; non-verbal behaviour; and social, cultural models and agents.
This book is part of a three volume set that constitutes the refereed proceedings of the 4th International Symposium on Neural Networks, ISNN 2007, held in Nanjing, China in June 2007. Coverage includes neural networks for control applications, robotics, data mining and feature extraction, chaos and synchronization, support vector machines, fault diagnosis/detection, image/video processing, and applications of neural networks.
Social media data contains our communication and online sharing, mirroring our daily life. This book looks at how we can use and what we can discover from such big data: Basic knowledge (data & challenges) on social media analytics Clustering as a fundamental technique for unsupervised knowledge discovery and data mining A class of neural inspired algorithms, based on adaptive resonance theory (ART), tackling challenges in big social media data clustering Step-by-step practices of developing unsupervised machine learning algorithms for real-world applications in social media domain Adaptive Resonance Theory in Social Media Data Clustering stands on the fundamental breakthrough in cognitive and neural theory, i.e. adaptive resonance theory, which simulates how a brain processes information to perform memory, learning, recognition, and prediction. It presents initiatives on the mathematical demonstration of ART’s learning mechanisms in clustering, and illustrates how to extend the base ART model to handle the complexity and characteristics of social media data and perform associative analytical tasks. Both cutting-edge research and real-world practices on machine learning and social media analytics are included in the book and if you wish to learn the answers to the following questions, this book is for you: How to process big streams of multimedia data? How to analyze social networks with heterogeneous data? How to understand a user’s interests by learning from online posts and behaviors? How to create a personalized search engine by automatically indexing and searching multimodal information resources? .
The adventures of Samak, a trickster-warrior hero of Persia’s thousand-year-old oral storytelling tradition, are beloved in Iran. Samak is an ayyar, a warrior who comes from the common people and embodies the ideals of loyalty, selflessness, and honor—a figure that recalls samurai, ronin, and knights yet is distinctive to Persian legend. His exploits—set against an epic background of palace intrigue, battlefield heroics, and star-crossed romance between a noble prince and princess—are as deeply rooted in Persian culture as are the stories of Robin Hood and King Arthur in the West. However, this majestic tale has remained little known outside Iran. Translated from the original Persian by Freydoon Rassouli and adapted by Prince of Persia creator Jordan Mechner, this timeless masterwork can now be enjoyed by English-speaking readers. A thrilling and suspenseful saga, Samak the Ayyar also offers a vivid portrait of Persia a thousand years ago. Within an epic quest narrative teeming with action and supernatural forces, it sheds light on the lives of ordinary people and their social worlds. This is the first complete English-language version of a treasure of world culture. The translation is grounded in the twelfth-century Persian text while paying homage to the dynamic culture of storytelling from which it arose.
Issues in Artificial Intelligence, Robotics and Machine Learning: 2011 Edition is a ScholarlyEditions™ eBook that delivers timely, authoritative, and comprehensive information about Artificial Intelligence, Robotics and Machine Learning. The editors have built Issues in Artificial Intelligence, Robotics and Machine Learning: 2011 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Artificial Intelligence, Robotics and Machine Learning in this eBook to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Issues in Artificial Intelligence, Robotics and Machine Learning: 2011 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.
Nelly Richard is one of the most prominent cultural theorists writing in Latin America today. As a participant in Chile’s neo-avantgarde, Richard worked to expand the possibilities for cultural debate within the constraints imposed by the Pinochet dictatorship (1973–1990), and she has continued to offer incisive commentary about the country’s transition to democracy. Well known as the founder and director of the influential journal Revista de crítica cultural, based in Santiago, Richard has been central to the dissemination throughout Latin America of work by key contemporary thinkers, including Néstor García Canclini, Jacques Derrida, Fredric Jameson, and Diamela Eltit. Her own writing provides rigorous considerations of Latin American identity, postmodernism, gender, neoliberalism, and strategies of political and cultural resistance. In The Insubordination of Signs Richard theorizes the cultural reactions—particularly within the realms of visual arts, literature, and the social sciences—to the oppression of the Chilean dictatorship. She reflects on the role of memory in the historical shadow of the military regime and on the strategies offered by marginal discourses for critiquing institutional systems of power. She considers the importance of Walter Benjamin for the theoretical self-understanding of the Latin American intellectual left, and she offers revisionary interpretations of the Chilean neo-avantgarde in terms of its relationships with the traditional left and postmodernism. Exploring the gap between Chile’s new left social sciences and its “new scene” aesthetic and critical practices, Richard discusses how, with the return of democracy, the energies that had set in motion the democratizing process seemed to exhaust themselves as cultural debate was attenuated in order to reduce any risk of a return to authoritarianism.
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