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Interactivity, Game Creation, Design, Learning, and Innovation
This book constitutes the proceedings of two conferences: The 6th International Conference on ArtsIT, Interactivity and Game Creation (ArtsIT 2017) and the Second International Conference on Design, Learning and Innovation (DLI 2017). The event was hosted in Heraklion, Crete, Greece, in October 2017 and attracted 65 submissions from which 50 full papers were selected for publication in this book. The papers represent a forum for the dissemination of cutting-edge research results in the area of arts, design and technology, including open related topics like interactivity and game creation.
Daily Report
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Systems Thinking for Sustainable Crime Prevention
This book offers a comprehensive overview of areas with elevated levels of crime, which we consider ‘risky places.’ These can be facilities, nodes, or paths and can be found everywhere, from small towns to megacities. Crime and fear are examined from the perspective of those who use these places, based on examples from the US, the UK, Sweden, Nigeria, Brazil, China, Australia, and more. Advocating for a systems thinking approach, the book shows what can be learned from risky places and identifies ways to address their inherent problems. The book also assesses current barriers to applying systems thinking and identifies ways to foster interconnected long-term crime prevention strategies that meet the diverse needs of multiple stakeholders. Aimed at academics, students, and professionals in urban planning, criminology, geography, and related fields, this book is a vital resource for those dedicated to creating safer, more inclusive, and sustainable environments. The Open Access version of this book, available at http://www.taylorfrancis.com, has been made available under a Creative Commons Attribution (CC-BY) 4.0 license.
Hybrid Computational Intelligence
Hybrid Computational Intelligence: Challenges and Utilities is a comprehensive resource that begins with the basics and main components of computational intelligence. It brings together many different aspects of the current research on HCI technologies, such as neural networks, support vector machines, fuzzy logic and evolutionary computation, while also covering a wide range of applications and implementation issues, from pattern recognition and system modeling, to intelligent control problems and biomedical applications. The book also explores the most widely used applications of hybrid computation as well as the history of their development. Each individual methodology provides hybrid systems with complementary reasoning and searching methods which allow the use of domain knowledge and empirical data to solve complex problems.
Turing's Imitation Game
Can you tell the difference between talking to a human and talking to a machine? Or, is it possible to create a machine which is able to converse like a human? In fact, what is it that even makes us human? Turing's Imitation Game, commonly known as the Turing Test, is fundamental to the science of artificial intelligence. Involving an interrogator conversing with hidden identities, both human and machine, the test strikes at the heart of any questions about the capacity of machines to behave as humans. While this subject area has shifted dramatically in the last few years, this book offers an up-to-date assessment of Turing's Imitation Game, its history, context and implications, all illustrated with practical Turing tests. The contemporary relevance of this topic and the strong emphasis on example transcripts makes this book an ideal companion for undergraduate courses in artificial intelligence, engineering or computer science.
RETRACTED BOOK: 151 Trading Strategies
The book provides detailed descriptions, including more than 550 mathematical formulas, for more than 150 trading strategies across a host of asset classes and trading styles. These include stocks, options, fixed income, futures, ETFs, indexes, commodities, foreign exchange, convertibles, structured assets, volatility, real estate, distressed assets, cash, cryptocurrencies, weather, energy, inflation, global macro, infrastructure, and tax arbitrage. Some strategies are based on machine learning algorithms such as artificial neural networks, Bayes, and k-nearest neighbors. The book also includes source code for illustrating out-of-sample backtesting, around 2,000 bibliographic references, and more than 900 glossary, acronym and math definitions. The presentation is intended to be descriptive and pedagogical and of particular interest to finance practitioners, traders, researchers, academics, and business school and finance program students.
Image Understanding
This graduate textbook explains image reconstruction technologies based on region-based binocular and trinocular stereo vision, and object, pattern and relation matching. It further discusses principles and applications of multi-sensor fusion and content-based retrieval. Rich in examples and excises, the book concludes image engineering studies for electrical engineering and computer science students.
