David Armstrong's book is a contribution to the philosophical discussion about possible worlds. Taking Wittgenstein's Tractatus as his point of departure, Professor Armstrong argues that nonactual possibilities and possible worlds are recombinations of actually existing elements, and as such are useful fictions. There is an extended criticism of the alternative-possible-worlds approach champion…
Introduction Internet has become an essential part of our everyday life and several goals can be achieved through it. While part of the literature on the topic found a positive correlation between loneliness and the use of the internet, other authors found a negative relationship between loneliness and internet use. Objective The aim of our analysis is to investigate the difference in the use o…
Language plays an essential role both in creating law and in governing its implementation. Providing an accessible and comprehensive introduction to this subject, Language and Law:describes the different registers and genres that make up spoken and written legal language and how they develop over time; analyses real-life examples drawn from court cases from different parts of the world, illustr…
Orientalist and colonial administrator John Crawfurd (1783–1868) published this work in 1856. He went to Calcutta as an assistant surgeon in the East India Company, then moved into administration, accompanying political missions to Java, Bali and Celebes, and heading missions to Siam, Vietnam and Burma. Retiring to England in 1828, Crawfurd became a Fellow of the Royal Society and President o…
This book presents a study in knowledge discovery in data with knowledge understood as a set of relations among objects and their properties. Relations in this case are implicative decision rules and the paradigm in which they are induced is that of computing with granules defined by rough inclusions, the latter introduced and studied within rough mereology, the fuzzified version of mereology. …
This book proposes a novel approach for time-series prediction using machine learning techniques with automatic feature generation. Application of machine learning techniques to predict time-series continues to attract considerable attention due to the difficulty of the prediction problems compounded by the non-linear and non-stationary nature of the real world time-series. The performance of m…
This volume presents recent research, challenging problems and solutions in Intelligent Systems– covering the following disciplines: artificial and computational intelligence, fuzzy logic and other non-classic logics, intelligent database systems, information retrieval, information fusion, intelligent search (engines), data mining, cluster analysis, unsupervised learning, machine learning, in…
This volume contains nineteen research papers belonging to the areas of computational statistics, data mining, and their applications. Those papers, all written specifically for this volume, are their authors’ contributions to honour and celebrate Professor Jacek Koronacki on the occcasion of his 70th birthday. The book’s related and often interconnected topics, represent Jacek Korona…
This book presents the set of papers accepted for presentation at the International Conference Automation, held in Warsaw, 2-4 March of 2016. It presents the research results presented by top experts in the fields of industrial automation, control, robotics and measurement techniques. Each chapter presents a thorough analysis of a specific technical problem which is usually followed by numerica…
This book documents recent advances in the field of modeling, simulation, control, security and reliability of Cyber- Physical Systems (CPS) in power grids. The aim of this book is to help the reader gain insights into working of CPSs and understand their potential in transforming the power grids of tomorrow. This book will be useful for all those who are interested in design of cyber-physical …