Artificial intelligence: A Modern Approach, 3e,is ideal for one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence. It is also a valuable resource for computer professionals, linguists, and cognitive scientists interested in artificial intelligence. The revision of this best-selling text offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence.
As modern technologies continue to develop and evolve, the ability of users to adapt with new systems becomes a paramount concern. Research into new ways for humans to make use of advanced computers and other such technologies through artificial intelligence and computer simulation is necessary to fully realize the potential of tools in the 21st century. Advanced Methodologies and Technologies in Artificial Intelligence, Computer Simulation, and Human-Computer Interaction provides emerging research in advanced trends in robotics, AI, simulation, and human-computer interaction. Readers will learn about the positive applications of artificial intelligence and human-computer interaction in various disciples such as business and medicine. This book is a valuable resource for IT professionals, researchers, computer scientists, and researchers invested in assistive technologies, artificial intelligence, robotics, and computer simulation.
Structures and Strategies for Complex Problem Solving
Author: George F. Luger
Publisher: Pearson Education
Focusing on Artificial Intelligence (AI), this title shows how to use a number of different software tools and techniques to address the many challenges faced by modern computer scientists. It is suitable for a one or two semester university course on AI, as well as for researchers in the field.
Artificial Intelligence Techniques for Networked Manufacturing Enterprises Management addresses prominent concepts and applications of AI technologies in the management of networked manufacturing enterprises. The aim of this book is to align latest practices, innovation and case studies with academic frameworks and theories, where AI techniques are used efficiently for networked manufacturing enterprises. More specifically, it includes the latest research results and projects at different levels addressing quick-response system, theoretical performance analysis, performance and capability demonstration. The role of emerging AI technologies in the modelling, evaluation and optimisation of networked enterprises’ activities at different decision levels is also covered. Artificial Intelligence Techniques for Networked Manufacturing Enterprises Management is a valuable guide for postgraduates and researchers in industrial engineering, computer science, automation and operations research.
The book covers the most essential and widely employed material in each area, particularly the material important for real-world applications. Our goal is not to cover every latest progress in the fields, nor to discuss every detail of various techniques that have been developed. New sections/subsections added in this edition are: Simulated Annealing (Section 3.7), Boltzmann Machines (Section 3.8) and Extended Fuzzy if-then Rules Tables (Sub-section 5.5.3). Also, numerous changes and typographical corrections have been made throughout the manuscript. The Preface to the first edition follows. General scope of the book Artificial intelligence (AI) as a field has undergone rapid growth in diversification and practicality. For the past few decades, the repertoire of AI techniques has evolved and expanded. Scores of newer fields have been added to the traditional symbolic AI. Symbolic AI covers areas such as knowledge-based systems, logical reasoning, symbolic machine learning, search techniques, and natural language processing. The newer fields include neural networks, genetic algorithms or evolutionary computing, fuzzy systems, rough set theory, and chaotic systems.
Although collective emotions have a long tradition in scientific inquiry, for instance in mass psychology and the sociology of rituals and social movements, their importance for individuals and the social world has never been more obvious than in the past decades. The Arab Spring revolution, the Occupy Wall Street movement, and mass gatherings at music festivals or mega sports events clearly show the impact collective emotions have both in terms of driving conflict and in uniting people. But these examples only show the most obvious and evident forms of collective emotions. Others are more subtle, although less important: shared moods, emotional atmospheres, and intergroup emotions are part and parcel of our social life. Although these phenomena go hand in hand with any formation of sociality, they are little understood. Moreover, there still is a large gap in our understanding of individual emotions on the one hand and collective emotional phenomena on the other hand. This book presents a comprehensive overview of contemporary theories and research on collective emotions. It spans several disciplines and brings together, for the first time, various strands of inquiry and up-to-date research in the study of collective emotions and related phenomena. In focusing on conceptual, theoretical, and methodological issues in collective emotion research, the volume narrows the gap between the wealth of studies on individual emotions and inquiries into collective emotions. The book catches up with a renewed interest into the collective dimensions of emotions and their close relatives, for example emotional climates, atmospheres, communities, and intergroup emotions. This interest is propelled by a more general increase in research on the social and interpersonal aspects of emotion on the one hand, and by trends in philosophy and cognitive science towards refined conceptual analyses of collective entities and the collective properties of cognition on the other hand. The book includes sections on: Conceptual Perspectives; Collective Emotion in Face-to-Face Interactions; The Social-Relational Dimension of Collective Emotion; The Social Consequences of Collective Emotions; Group-Based and Intergroup Emotion; Rituals, Movements, and Social Organization; and Collective Emotions in Online Social Systems. Including contributions from psychologists, philosophers, sociologists, and neuroscience, this volume is a unique and valuable contribution to the affective sciences literature.
The first volume to explore mergers and acquisitions in the 21st century. The authors systematically introduce, characterize and evaluate these mergers, and discuss the methodologies that can be employed to measure them. They also consider a number of factors relevant to the performance of mergers and acquisitions.
This book highlights recent developments and advances in city logistics. City logistics is a relatively new area of urban study and urban management. The goal of city logistics is to establish efficient, safe and environmentally friendly urban freight transport systems using advanced information communication technology. This book covers modelling, planning and evaluating city logistics measures including co-operative freight transport systems, consolidated city distribution centres, advanced vehicle routing and scheduling using intelligent transport systems, load factor controls, road pricing, intelligent parking controls, pickup points for e-commerce. Modelling and analysing the Planning and efficient management of city logistics schemes is essential because there are multiple stakeholders who are involved in urban freight transport issues. Therefore, public-private partnerships and other management methodology will be discussed. As well, the book contains several case studies of urban freight transport policies which have been already implanted in some cities in Europe, United States and the Asia Pacific region.