Bio-Objects

Examining a variety of bio-objects in contexts beyond the laboratory, Bio-Objects: Life in the 21st Century explores new ways of thinking about how novel bio-objects enter contemporary life, analysing

Life is currently one of the most active zones of politics and economic production, as biological material is increasingly the subject of engineering, banking, reproduction, and exchange. These developments represent some of the most challenging issues facing humanity in the twenty-first century and call for new forms of engagement - and new anthropologies of life. Reflecting upon the changing human condition, Palsson addresses various conflated zones of life at particular times and scales, from the genome to the human body and the global environment. Using a 'biosocial' perspective, he argues, will help us to capture the hybrid nature of life, enhancing our sensitivity to differences and similarities in hierarchies, the reproduction of bio-objects and the exchange between humans, other species, and the environment. Engaging with topical issues on the public agenda, from personal genomics to human-animal relations to the global environment, the book sets out a compelling case for meani

The problem of inducing, learning or inferring grammars has been studied for decades, but only in recent years has grammatical inference emerged as an independent field with connections to many scientific disciplines, including bio-informatics, computational linguistics and pattern recognition. This book meets the need for a comprehensive and unified summary of the basic techniques and results, suitable for researchers working in these various areas. In Part I, the objects of use for grammatical inference are studied in detail: strings and their topology, automata and grammars, whether probabilistic or not. Part II carefully explores the main questions in the field: What does learning mean? How can we associate complexity theory with learning? In Part III the author describes a number of techniques and algorithms that allow us to learn from text, from an informant, or through interaction with the environment. These concern automata, grammars, rewriting systems, pattern languages or tra