This book reflects the current perception in various fields that modern computing applications are becoming increasingly challenged in terms of complexity and intelligence. It investigates the relevance and relationship artificial intelligence maintains with "modern strands of computing". These consist of pervasive computing and ambient intelligence, bioinformatics, neuroinformatics, computing and the mind, non-classical computing and novel computing models, as well as DNA computing and quantum computing.
The present book includes a set of selected papers from the First International Conf- ence on Agents and Artificial Intelligence (ICAART 2009), held in Porto, Portugal, during January 19–21, 2009. The conference was organized in two simultaneous tracks: “Artificial Intelligence and Agents.” The book is based on the same structure. ICAART 2009 received 161 paper submissions, from more than 37 different co- tries in all continents. After a blind review process, only 26 where accepted as full papers, of which 21 were selected for inclusion in this book, based on the classifi- tions provided by the Program Committee. The selected papers reflect the interdis- plinary nature of the conference. The diversity of topics is an important feature of this conference, enabling an overall perception of several important scientific and tech- logical trends. These high-quality standards will be maintained and reinforced at ICAART 2010, to be held in Valencia, Spain, and in future editions of this conf- ence. Furthermore, ICAART 2009 included five plenary keynote lectures given by Juan Carlos Augusto (University of Ulster), Marco Dorigo (IRIDIA, Free University of Brussels), Timo Honkela (Helsinki University of Technology), Edward H. Shortliffe (Arizona State University) and Paulo Urbano (University of Lisbon). We would like to express our appreciation to all of them and in particular to those who took the time to contribute with a paper to this book.
Advances in the engineering of sensing and acting capabilities, distributed in a wide range of specialized devices nowadays, provide an opportunity for the fundamental advances in computer science made in the past few decades to impact our daily lives. Sensors/actuators deployed in a physical space – a house, an office, a classroom, a car, a street – facilitate a link between an automated decision-making system and a technologically-enriched space. The Intelligent Environment, a digital environment that supports people in their daily lives, is a very active area of research which is attracting an increasing number of professionals (both in academia and industry) worldwide. The prestigious 10th International Conference on Intelligent Environments (IE’14) is focused on the development of advanced Intelligent Environments and stimulates the discussion on several specific topics that are crucial to the future of the area. This volume is the combined proceedings of the workshops co-located with IE’14: 9th Workshop on Artificial Intelligence Techniques for Ambient Intelligence (AITAmI’14); 2nd International Workshop on Applications of Affective Computing in Intelligent Environments (ACIE’14); 3rd edition of the Workshop on Future Intelligent Educational Environments (WOFIEE’14); 2nd Workshop on Cloud-of-Things 2014 (CoT’14); 3rd International Workshop on the Reliability of Intelligent Environments (WoRIE 2014); 4th Workshop on Creative Science 2014 (CS’14); and 1st Workshop on Hyperrealistic Intelligent Environments 2014 (HyperRealitIE’14). This book offers an overview of the latest developments in key areas of the development of Intelligent Environments.
This book focuses on the connotation and the basic structure of smart supply chain finance and on this basis, systematically explores the elements of smart supply chain finance innovation, and further proposes a five-dimensional model for the realization of smart supply chain finance-SMART. The book also explores the risk management issues of smart supply chain finance from the perspective of industrial risk management.
This timely book tells the story of the smart technologies that reconstruct our world, by provoking their most salient functionality: the prediction and preemption of our day-to-day activities, preferences, health and credit risks, criminal intent and
The term Intelligent Environments (IEs) refers to physical spaces in which IT and other pervasive computing technologies are combined and used to achieve specific goals for the user, the environment, or both. The ultimate objective of IEs is to enrich user experience, improve management of the environment in question and increase user awareness. This book presents the proceedings of the following workshops, which formed part of the 12th International Conference on Intelligent Environments (IE16), held in London, UK, in September 2016: the 5th International Workshop on Smart Offices and Other Workplaces (SOOW’16); the 5th International Workshop on the Reliability of Intelligent Environments (WoRIE’16); the 1st International Workshop on Legal Issues in Intelligent Environments (LIIE’2016); the 2nd International Symposium on Future Intelligent Educational Environments and Learning (SOFIEE’16); the 2nd International Workshop on Future Internet and Smart Networks (FI&SN’2016); the International Workshop on Intelligent Environments Supporting Healthcare and Well-being (WISHWell’2016); the International Workshop on Computation Sustainability, Technologies and Applications (CoSTA’2016); the Creative Science 2016 (CS’16) and Cloud-of-Things 2016 (CoT’16); the Workshop on Wireless Body Area Networks for Personal Monitoring in Intelligent Environments (WBAN-PMIE); and the Physical Computing Workshop. The workshops focused on the development of advanced intelligent environments, as well as newly emerging and rapidly evolving topics, emphasizing the multi-disciplinary and transversal aspects of IEs, as well as cutting-edge topics. The book will be of interest to all those whose work involves them in the use of intelligent environments.
As computers are increasingly embedded into our everyday environments, the objects therein become augmented with sensors, processing and communication capabilities and novel interfaces. The capability for objects to perceive the environment, store and process data, pursue goals, reason about their intentions and coordinate actions in a holistic manner gives rise to the so-called Intelligent Environment (IE). In such environments, real space becomes augmented with digital content, thus transcending the limits of nature and of human perception. The result is a pervasive transparent infrastructure capable of recognizing, responding and adapting to individuals in a seamless and unobtrusive way. The realization of Intelligent Environments requires the convergence of different disciplines such as information and computer science, building architecture, material engineering, artificial intelligence, sociology, art and design. The 5th International Conference on Intelligent Environments (IE’09), held at the Polytechnic University of Catalonia, Castelldefels, Barcelona, Spain, provides a multidisciplinary forum for researchers and engineers from across the world to present their latest research and to discuss future directions in the area of Intelligent Environments. The IE’09 proceedings contain the complete conference program including full papers presented at special sessions and short papers from the doctoral colloquium and poster session. In addition, three thought provoking invited lectures on topics of current and future IE research are included.
This book constitutes the refereed proceedings of the Second International Conference on Intelligent Interactive Technologies and Multimedia, IITM 2013, held in Allahabad, India, in March 2013. The 15 revised full papers and the 12 revised short papers were carefully reviewed and selected from more than 90 submissions. The papers present the latest research and development in the areas of intelligent interactive technologies, human-computer interaction and multimedia.
In recent years, intelligent cities, also known as smart cities or cognitive cities, have become a perceived solution for improving the quality of life of citizens while boosting the efficiency of city services and processes. This new vision involves the integration of various sectors of society through the use of the internet of things. By continuing to enhance research for the better development of the smart environments needed to sustain intelligent cities, citizens will be empowered to provision the e-services provided by the city, city officials will have the ability to interact directly with the community as well as monitor digital environments, and smart communities will be developed where citizens can enjoy improved quality of life. Developing and Monitoring Smart Environments for Intelligent Cities compiles the latest research on the development, management, and monitoring of digital cities and intelligent environments into one complete reference source. The book contains chapters that examine current technologies and the future use of internet of things frameworks as well as device connectivity approaches, communication protocols, security challenges, and their inherent issues and limitations. Including unique coverage on topics such as connected vehicles for smart transportation, security issues for smart homes, and building smart cities for the blind, this reference is ideal for practitioners, urban developers, urban planners, academicians, researchers, and students.
In Ambient Intelligence (AmI) systems, reasoning is fundamental for triggering actions or adaptations according to specific situations that may be meaningful and relevant to some applications. However, such reasoning operations may need to evaluate context data collected from distributed sources and stored in different devices, as usually not all context data is readily available to the reasoners within the system. Decentralized Reasoning in Ambient Intelligence proposes a decentralized reasoning approach for performing rule-based reasoning about context data targeting AmI systems. For this purpose, the authors define a context model assuming context data distributed over two sides: the user side, represented by the users and their mobile devices, and the ambient side, represented by the fixed computational infrastructure and ambient services. They formalize the cooperative reasoning operation — in which two entities cooperate to perform decentralized rule-based reasoning — and define a complete process to perform this operation.
