Bøger af Srinath Srinivasa

This book is the author's attempt to interpret and explain Indic concepts based on dharma, using systems theory-- specifically game theory. The book also details the author's own journey in re-discovering these concepts, triggered by conceptual dissonance coming from two different ways of thinking or hermeneutics, while growing up. The "clockwork" model of Newtonian physics as well as more recent models of quantum mechanics, both treat the universe as an impersonal automaton, driven solely by the laws of physics and causality. In this book, this is called "machine hermeneutics"-- which is currently the "mainstream" way of interpreting the universe, taught in schools worldwide. While machine hermeneutics has been widely successful, it still has several conceptual gaps when we need to reason across energy and information. There is no simple way to connect the two. Dharmic concepts that is characteristic of the traditional Indian way of thinking, models the universe as an abstract entity called "being"-- where a "being" can itself be a system of smaller interacting beings. Rather than viewing systems as impersonal automata driven by causality, dharmic thought views systems as societies of autonomous stakeholders (its constituent beings). Each being itself is not just driven by causality, but also by an imperative to "be" or sustain itself as long as possible. Being-oriented modeling is promising at several fronts. It not only helps to build models that combine energy and information-- thus reasoning about intelligence and sentience, as well as about mechanics and dynamics in the same model. This book provides a philosophical overview of such possibilities, without getting into mathematical details. Being-oriented thinking, in the opinion of the author, also has important lessons for sustainability and policy-making.

This book constitutes the refereed conference proceedings of the Third International Conference on Big Data Analytics, BDA 2014, held in New Delhi, India, in December 2014. The 11 revised full papers and 6 short papers were carefully reviewed and selected from 35 submissions and cover topics on media analytics; geospatial big data; semantics and data models; search and retrieval; graphics and visualization; application-specific big data.

This book constitutes the refereed proceedings of the First International Conference on Big Data Analytics, BDA 2012, held in New Delhi, India, in December 2012. The 5 regular papers and 5 short papers presented were carefully reviewed and selected from 42 submissions. The volume also contains two tutorial papers in the section perspectives on big data analytics. The regular contributions are organized in topical sections on: data analytics applications; knowledge discovery through information extraction; and data models in analytics.