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The monographic volume addresses, in a systematic and comprehensive way, the state-of-the-art dependability (reliability, availability, risk and safety, security) of systems, using the Artificial Intelligence framework of Probabilistic Graphical Models (PGM). After a survey about the main concepts and methodologies adopted in dependability analysis, the book discusses the main features of PGM formalisms (like Bayesian and Decision Networks) and the advantages, both in terms of modeling and analysis, with respect to classical formalisms and model languages.Methodologies for deriving PGMs from standard dependability formalisms will be introduced, by pointing out tools able to support such a process. Several case studies will be presented and analyzed to support the suitability of the use of PGMs in the study of dependable systems.
Agency is a key theme that cross-cuts a wide raft of disciplines in the humanities, social sciences and beyond; yet it is invariably discussed separately behind closed disciplinary doors.
Within archaeology, agency has been characterized as a uniquely human attribute, and a means of incorporating individual intentionality into theoretical discourse. In other domains, however, notions of non-human and 'material' agency have been finding currency, and it is our aim to introduce some of these themes into archaeology and develop a non-anthropocentric approach to agency.
It is anticipated that such a perspective will not only help us achieve more convincing interpretations of the past, giving a more active role to material culture, but also throw new light on the changing role of artifacts in the present and the future.
This book is a groundbreaking attempt to address questions of non-human and material agency from a wide range of perspectives and disciplines: archaeology, anthropology, sociology, cognitive science, philosophy, and economics. The editors and authors demostrate that a distributed, relational approach to agency, incorporating both humans and artifacts, has important ramifications for how we understand material culture.
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