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"Academic, industry, and government experts provide a global survey of the financial services sector's transformation by AI, data science, and blockchain"-- Provided by publisher.

• Bayesian Methods for Intelligent Task Assignment in Crowdsourcing Systems.- Designing Societies of Robots.- On the Origins of Imperfection and Apparent Non-Rationality.- Lasso Granger Causal Models: Some Strategies and their Efficiency for Gene Expression Regulatory Networks.- Cooperative Feature Selection in Personalized Medicine.- Imperfect Decision Making and Risk Taking are affected by Personality.
• (source: Nielsen Book Data)

This volume focuses on uncovering the fundamental forces underlying dynamic decision making among multiple interacting, imperfect and selfish decision makers. The chapters are written by leading experts from different disciplines, all considering the many sources of imperfection in decision making, and always with an eye to decreasing the myriad discrepancies between theory and real world human decision making. Topics addressed include uncertainty, deliberation cost and the complexity arising from the inherent large computational scale of decision making in these systems. In particular, analyses and experiments are presented which concern: * task allocation to maximize "the wisdom of the crowd"; * design of a society of "edutainment" robots who account for one anothers' emotional states; * recognizing and counteracting seemingly non-rational human decision making; * coping with extreme scale when learning causality in networks; * efficiently incorporating expert knowledge in personalized medicine; * the effects of personality on risky decision making. The volume is a valuable source for researchers, graduate students and practitioners in machine learning, stochastic control, robotics, and economics, among other fields.
(source: Nielsen Book Data)

• Intro; Title Page; Contents; Introduction; Motivation; Problem Statement; Challenges and Overview of the State-of-the-Art; Challenges for Efficient SPARQL Query Processing; Challenges for Effective SPARQL Query Processing; Hypotheses and Research Questions; Contributions; Outline; Foundations of Linked Data Management; Linked Data; The Resource Description Framework (RDF); Querying RDF Data: The SPARQL Query Language; Querying RDF Data on the Web; URI Dereferencing and Link Traversal; SPARQL Endpoints; Linked Data Fragments; Foundations of Query Processing; Query Optimization

• Adaptive Query ProcessingAdaptive Query Processing over Linked Data; Introduction; Research Questions; Contributions; Structure of the Chapter; Motivating Example; Related Work; Adaptive Link Traversal Approaches; Adaptive Query Processing Against SPARQL Endpoints; Query Processing Approaches Against TPF Servers; The nLDE Approach; nLDE Query Optimizer; Estimation of Query Plan Cardinalities; Placing Physical Operators; Building Query Tree Plans; nLDE Optimizer: Algorithm Description; Complexity of the nLDE Query Optimizer; nLDE Adaptive Routing Query Engine; Adaptive Operators; Eddies

• Network of Linked Data Eddies (nLDE)Termination of nLDE; Correctness of nLDE; Routing Policies; Routing Policy from Eddies to Adaptive Operators; Routing Policy from Adaptive Operators to Eddies; Experimental Study; Experimental Settings; Efficiency of the nLDE Optimizer; Effectiveness of the nLDE Optimizer; Impact of the nLDE Routing-based Adaptivity on Execution Time in Perfect Networks; Effectiveness of the nLDE Routing-based Adaptivity Under the Presence of Network Delays; Summary and Future Work; Foundations of Crowdsourcing; Overview; Types of Crowdsourcing; Microtasks; Contests

• Crowdsourcing WorkflowsHybrid Crowdsourcing Workflows; Human-based Workflow: Find-Fix-Verify; Crowdsourcing Query Answer Completeness over Linked Data; Introduction; Research Questions; Contributions; Structure of the Chapter; Motivating Example; Related Work; Hybrid Query Processing for Relational Data; Crowd-based Linked Data Management Applications; Web Data Quality Assessment; The HARE Approach; Problem Definition; Proposed Solution; RDF Completeness Model; Representation of the Crowd Knowledge; Crowd Contradiction; Crowd Unknownness; HARE Microtask Manager; User Interface Generator

• Microtask ExecutorHARE Query Optimizer; Complexity of the HARE Query Optimizer; HARE Query Engine; A SPARQL Fuzzy Set Semantics; HARE BGP Executor; Complexity of HARE Query Evaluation; Experimental Study; Experimental Settings; HARE Crowdsourcing Capabilities; Size of Query Answer; Quality of Crowd Answers; Crowd Response Time; Summary and Future Work; Crowdsourcing Linked Data Quality Issues; Introduction; Research Questions; Contributions; Structure of the Chapter; Preliminaries: Linked Data Quality Issues; Related Work; Crowdsourcing in Linked Data Management; Web Data Quality Assessment

• Production and Economic Relations on the Internet: Another Level of Development of Economic Science.- Internet Economy: Existence from the Point of View of Micro-Economic Aspect.- Perspectives of Internet Economy Creation.- Modern Foundations of Internet Economy.
• (source: Nielsen Book Data)

This unique book adopts a problem approach to study the Internet economy, which consists in assessing its contradiction to classic economy, analyzing it, and describing how the Internet economy is developing in modern Russia. The authors study its sense and basic principles, identify the factors that influence its functioning and development, analyze the crisis of the Internet economy, and conduct a comparative analysis of the Internet economy and classic economy. The book is primarily intended for postgraduates, educators and researchers who study the foundations of the modern macro-economy. Based on the conclusions and results presented here, they will be able to create their own scientific studies. Further, problem analysis of the Internet economy and classic economy makes it possible to identify the peculiarities and prospects of development, and to form recommendations for the highly effective management of modern economic systems.
(source: Nielsen Book Data)

• Introduction
• Technological Progress: Logistic Growth or Singularity
• Artificial Intelligence
• Artificial Happiness
• Issues in Artificial Intelligence
• Artificial Intelligence in Economics: ACE
• Economics of Artificial Intelligence
• State of the Art, Challenges for AGI.

The manuscript reviews some key ideas about artificial intelligence, and relates them to economics. These include its relation to robotics, and the concepts of synthetic emotions, consciousness, and life. The economic implications of the advent of artificial intelligence, such as its effect on prices and wages, appropriate patent policy, and the possibility of accelerating productivity, are discussed. The growing field of artificial economics and the use of artificial agents in experimental economics is considered.

• Part I Fundamentals of Cybercrime.- Part II Computer System as Target.- Part III Computer System as Tool.- Part IV Content - Related Offenses.- Part V Privacy, Security and Crime Control.
• (source: Nielsen Book Data)

The purpose of law is to prevent the society from harm by declaring what conduct is criminal, and prescribing the punishment to be imposed for such conduct. The pervasiveness of the internet and its anonymous nature make cyberspace a lawless frontier where anarchy prevails. Historically, economic value has been assigned to visible and tangible assets. With the increasing appreciation that intangible data disseminated through an intangible medium can possess economic value, cybercrime is also being recognized as an economic asset. The Cybercrime, Digital Forensics and Jurisdiction disseminate knowledge for everyone involved with understanding and preventing cybercrime - business entities, private citizens, and government agencies. The book is firmly rooted in the law demonstrating that a viable strategy to confront cybercrime must be international in scope.
(source: Nielsen Book Data)

For any Microsoft Office user familiar with Word, Excel, PowerPoint, Access, or Outlook, this book provides tutorials on the tools and tricks that automate these programs for increased productivity. Each lesson includes instructions and a downloadable file on which to test the VBA macros and procedures provided. Tasks covered include how to run several mail merges at once, removing duplicates from data, and saving email attachments.

• Introduction Example: Bidding on eBay Auction Fundamentals Continuous Double Auctions Interdependent Markets Conclusion.
• (source: Nielsen Book Data)

Automated trading in electronic markets is one of the most common and consequential applications of autonomous software agents. Design of effective trading strategies requires thorough understanding of how market mechanisms operate, and appreciation of strategic issues that commonly manifest in trading scenarios. Drawing on research in auction theory and artificial intelligence, this book presents core principles of strategic reasoning that apply to market situations. The author illustrates trading strategy choices through examples of concrete market environments, such as eBay, as well as abstract market models defined by configurations of auctions and traders. Techniques for addressing these choices constitute essential building blocks for the design of trading strategies for rich market applications. The lecture assumes no prior background in game theory or auction theory, or artificial intelligence.
(source: Nielsen Book Data)

• H. Schmitz, S. Niemann: A Bicriteria Traveling Salesman Problem with Sequence Priorities
• P. Vansteenwegen et al.: Metaheuristics for Tourist Trip Planning
• A. Baykasoglu, T. Göçken: Solving Fuzzy Multi-Item Economic Order Quantity Problems via Fuzzy Ranking Functions and Particle Swarm Optimization
• L. Dimitriou, T. Tsekeris: Fixed and Variable Toll Pricing in Road Networks with Direct Search Meta-Heuristics
• M. Ortega-Mier, J. Delgado Hipólito, Á. García-Sánchez: Scatter Search for Locating a Treatment Plant and the Necessary Transfer Centers in a Reverse Network
• W. Souffriau et al.: Variable Neighbourhood Descent for Planning Crane Operations in Train Terminal
• J. Czogalla, A. Fink: Design and Analysis of Evolutionary Algorithms for the No-Wait Flow-Shop Scheduling Problem
• G. di Tollo, D. Maringer: Metaheuristics for the Index Tracking Problem
• J. Rieck, J. Zimmermann: A Hybrid Algorithm for Vehicle Routing of Less-Than-Truckload Carriers.

Most developed economics show the tendency of an increasing importance of modern services such as tourism, logistical services, finance, and others. In many cases, complex optimization problems can be found in this context, and the successful operation of modern services often depends on the ability to solve the obtained optimization models. Metaheuristics on the other hand present an interesting problem-resolution paradigm that has attracted considerable interest in past years. The book combines a set of selected and peer-reviewed articles, presenting novel results of metaheuristics for modern services. In particular, applications in the area of transportation and logistics are considered, while other areas include production and financial services. Novel methodological approaches as well as improved results are obtained, resulting in a considerable contribution to the state-of-the-art of research in metaheuristics.

• Part I. AI and economics
• A Regional Indicator to Describe Potential Artificial Intelligence / Domenico Marino and Domenico Tebala
• Hybrid Fuzzy Differential System and Artificial Neural Networks: some issues in economics / Massimiliano Ferrara, Iside Rita Laganà, and Domenica Stefania Merenda
• Blockchain and Management Accounting Systems Based on Information Sharing / Domenico Nicoló
• Is the Rapid Increase in Maritime Transports a Threat or an Opportunity for Port Cities? A System Dynamics Analysis / Fabio Carlucci, Andrea Cirà, and Francesca Costanza
• Empowering Individuals, Companies and Organizations to Build Trust Through Rated and Digitalized Reputation / Vincenzo Mancuso, Domenico Marino, et. al.
• Part II. AI and law
• Processing of Personal Data and AI: GDPR Guarantees and Limits (Between Individual Data and BIG DATA) / Angela Busacca and Melchiorre A. Monaca
• Algorithmic Bosses and What to Do About Them: Automation, Artificial Intelligence and Labour Protection / Valerio De Stefano
• Roboadvice, Artificial Intelligence and Responsibility: The Regulatory Framework Between Present Scenarios and Future Perspectives / Pasquale Cuzzola
• Part III. AI and smart citizenship
• More Intelligence and Less Clouds in Our Smart Homes / Giancarlo Iannizzotto, Andrea Nucita, et. al.
• Development of a Index for Sustainable Energy Technologies Based on an Intelligent Fuzzy Expert System / Fausto Cavallaro
• Blockchain and Charities: A Systemic Opportunity to Create Social Value / Ardian Foti and Domenico Marino
• AI and Teaching Approach in High School / Marino Tommaso and Pecchio Paola
• Artificial Intelligence and Protection of National Interest. Challenges and Opportunities for Economic Intelligence / Pietro Stilo
• The Future of City/Cities / Domenico Passarelli.

This book presents original research articles addressing various aspects of artificial intelligence as applied to economics, law, management and optimization. The topics discussed include economics, policies, finance, law, resource allocation strategies and information technology. Combining the input of contributing professors and researchers from Italian and international universities, the book will be of interest to students, researchers and practitioners, as well as members of the general public interested in the economic and policy implications of artificial intelligence. .
(source: Nielsen Book Data)