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Trust Management III
This book constitutes the refereed proceedings of the Third IFIP WG 11.11 International Conference, IFIPTM 2009, held in West Lafayette, IN, USA, in June 2009. The 17 revised full papers presented together with one invited paper and 5 demo descriptions were carefully reviewed and selected from 44 submissions. The papers are organized in topical sections on social aspects and usability, trust reasoning and processing, data security, enhancements to subjective logic, information sharing, risk assessment, and simulation of trust and reputation systems.
The AI Awakening, A New Era of Data, Discovery, and Growth
In an era where artificial intelligence transforms the very fabric of society, Dr. Mozhgan Tavakolifard unveils how integrating AI with human insight can catalyze unprecedented growth and innovation. "The AI Awakening" is not just another book on emerging technologies; it's a profound exploration of how AI can enrich and redefine our understanding of growth-both personal and professional. Dr. Tavakolifard, a renowned data scientist and thought leader, takes readers on an inspiring journey through the landscapes of technology and consciousness. With her unique blend of technical expertise and deep philosophical inquiry, she presents a compelling vision of the future, where data and digital to...
Web Intelligence and Intelligent Agents
This book presents a unique and diversified collection of research work ranging from controlling the activities in virtual world to optimization of productivity in games, from collaborative recommendations to populate an open computational environment with autonomous hypothetical reasoning, and from dynamic health portal to measuring information quality, correctness, and readability from the web.
Computational Trust Models and Machine Learning
Computational Trust Models and Machine Learning provides a detailed introduction to the concept of trust and its application in various computer science areas, including multi-agent systems, online social networks, and communication systems. Identifying trust modeling challenges that cannot be addressed by traditional approaches, this book: Explains how reputation-based systems are used to determine trust in diverse online communities Describes how machine learning techniques are employed to build robust reputation systems Explores two distinctive approaches to determining credibility of resources—one where the human role is implicit, and one that leverages human input explicitly Shows how decision support can be facilitated by computational trust models Discusses collaborative filtering-based trust aware recommendation systems Defines a framework for translating a trust modeling problem into a learning problem Investigates the objectivity of human feedback, emphasizing the need to filter out outlying opinions Computational Trust Models and Machine Learning effectively demonstrates how novel machine learning techniques can improve the accuracy of trust assessment.
The Description Logic Handbook
Description Logics are a family of knowledge representation languages that have been studied extensively in Artificial Intelligence over the last two decades. They are embodied in several knowledge-based systems and are used to develop various real-life applications. The Description Logic Handbook provides a thorough account of the subject, covering all aspects of research in this field, namely: theory, implementation, and applications. Its appeal will be broad, ranging from more theoretically-oriented readers, to those with more practically-oriented interests who need a sound and modern understanding of knowledge representation systems based on Description Logics. The chapters are written by some of the most prominent researchers in the field, introducing the basic technical material before taking the reader to the current state of the subject, and including comprehensive guides to the literature. In sum, the book will serve as a unique reference for the subject, and can also be used for self-study or in conjunction with Knowledge Representation and Artificial Intelligence courses.
Get Smart!
Discover the secrets for how to think and act like the most successful people in the world and reap the rewards! In today’s constantly changing world, you have to be smart to get ahead. But the average person uses only about two percent of their mental ability. How can we learn to unleash our brain’s full potential to maximize our opportunities, like the most successful people do? In Get Smart!, acclaimed success expert and bestselling author Brian Tracy reveals simple, proven ways to tap into our natural thinking talents and abilities and make quantum leaps toward achieving our dreams. In this indispensable guide, you’ll learn to: · Train your brain to think in ways that create successful results · Recognize and exploit growth opportunities in any situation · Identify and eliminate negative patterns holding you back · Plan, act, and achieve goals with greater precision and speed Whether you want to increase sales, bolster creativity, or better navigate life’s unexpected changes, Get Smart! will help you tap into your powerful mental resources to obtain the results you want and reap the rewards successful people enjoy.
Introduction to Description Logic
The first introductory textbook on description logics, relevant to computer science, knowledge representation and the semantic web.
Moments of Truth
The president and CEO of Scandinavia Airlines (SAS) shows how to adapt to the new customer–driven economy.
Hyperfocus
Canada's productivity expert returns with a totally fresh angle on how to do more with less. Throughout his experiments and research, Chris Bailey came across many little-known insights into how we focus (a key element of productivity), including the surprising idea that focus isn't so much a state of heightened awareness (as we'd assume), but a balance between two frames of mind. The most recent neuroscientific research on attention reveals that our brain has two powerful modes that can be unlocked when we use our attention well: a focused mode (hyperfocus), which is the foundation for being highly productive, and a creative mode (scatterfocus), which enables us to connect ideas in novel ways. Hyperfocus helps readers unlock both, so they can concentrate more deeply, think more clearly, and work and live more deliberately. Diving deep into the science and theories about how and why we bring our attention to bear on life's big goals and everyday tasks, Chris Bailey takes his unique approach to productivity to the next level in Hyperfocus, while retaining the approachable voice and perspective that made him a fast favourite.
Smart Information and Knowledge Management
New approaches are needed that could move us towards developing effective applicable intelligent systems for problem solving and decision making, One of the main efforts in intelligent systems development is focused on knowledge and information management which is regarded as the crucial issue in smart decision making support. The 14 Chapters of this book represent a sample of such effort. The overall aim of this book is to provide guidelines to develop tools for smart processing of knowledge and information. Still, the guide does not presume to give ultimate answers. Rather, it poses ideas and case studies to explore the complexities and challenges of modern knowledge management issues. It also encourages its reader to become aware of the multifaceted interdisciplinary character of such issues. The premise of this book is that its reader will leave it with a heightened ability to think - in different ways - about developing, evaluating, and supporting intelligent knowledge and information management systems in real life based environment.
