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Adaptive agents and multi-agent systems II : Adaptation and multi-agent learning
Adaptive agents and multi-agent systems is an emerging and exciting interdisciplinary area of research and development involving artificial intelligence, software engineering, and developmental biology, as well as cognitive and social science. This book presents 17 revised and carefully reviewed papers taken from two workshops on the topic as well as 2 invited papers by leading researchers in the area. The papers deal with various aspects of machine learning, adaptation, and evolution in the context of agent systems and autonomous agents.
A Matrix Algebra Approach to Artificial Intelligence
The book consists of two parts: the first discusses the fundamentals of matrix algebra in detail, while the second focuses on the applications of matrix algebra approaches in AI. Highlighting matrix algebra in graph-based learning and embedding, network embedding, convolutional neural networks and Pareto optimization theory, and discussing recent topics and advances, the book offers a valuable resource for scientists, engineers, and graduate students in various disciplines
Mastering Calculations in Linear and Nonlinear Mechanics
Mastering Calculations in Linear and Nonlinear Mechanics is concerned with the management of calculations in linear and nonlinear mechanics. In the last twenty years The accent is on the concept of error in constitutive relation. An important part of this work is also devoted to the utilization of the error estimators involved in a calculation.
Long-Run Growth Forecasting
Explores how to set up an empirical model that helps with forecasting long-term economic growth in a large number of countries. It offers a systematic approach to models of potential GDP that can also be used for forecasts of more than a decade. It is an attempt to fill the wide gap between the high demand for such models by commercial banks, international organizations, central banks and governments on the one hand and the limited supply on the other hand. Frequent forecast failures in the past (e.g. Japan 1990, Asia 1997) and the heavy economic losses they produced motivated the work. The book assesses the large number of different theories of economic growth, the drivers of economic growth, the available datasets and the empirical methods on offer. A preference is shown for evolutionary models and an augmented Kaldor model. The book uses non-stationary panel techniques to find pair-wise cointegration among GDP per capita and its main correlates such as physical capital, human capital and openness.
Learning in Economic Systems with Expectations Feedback
Recently economists have more and more focussed on scenarios in which agents' views of the world may be erroneous. These notes introduce the concept of perfect forecasting rules which provide best least-squares predictions along the evolution of an economic system.
Italian Institutional Reforms : A Public Choice Perspective
Using a public choice perspective, this book explains the evolution and political and economic impact of recent changes to the Italian institutional framework. Because these changes are so numerous and broad, their implementation serves as a case study for other Western governments. Particular attention is paid to the introduction of the EURO, the reform of voting from proportional to majoritarian rule, the impact of corporatism, constraints imposed by the Maastricht Treaty, and the switch from a highly centralized government to a federal organization.
Complexity and Artificial Markets
In recent years, agent-based simulation has become a widely accepted tool when dealing with complexity in economics and other social sciences. The contributions presented in this book apply agent-based methods to derive results from complex models related to market mechanisms, evolution, decision making, and information economics. In addition, the applicability of agent-based methods to complex problems in economics is discussed from a methodological perspective. The papers presented in this collection combine approaches from economics, finance, computer science, natural sciences, philosophy, and cognitive sciences.
China's Energy Revolution in the Context of the Global Energy Transition
This book is an encyclopaedic analysis of the current and future energy system of the world’s most populous country and second biggest economy. What happens in China impacts the planet. In the past 40 years China has achieved one of the most remarkable economic growth rates in history. Its GDP has risen by a factor of 65, enabling 850,000 people to rise out of poverty.
Cellular Genetic Algorithms
CELLULAR GENETIC ALGORITHMS defines a new class of optimization algorithms based on the concepts of structured populations and Genetic Algorithms (GAs). The authors explain and demonstrate the validity of these cellular genetic algorithms throughout the book. This class of genetic algorithms is shown to produce impressive results on a whole range of domains, including complex problems that are epistatic, multi-modal, deceptive, discrete, continuous, multi-objective, and random in nature. The focus of this book is twofold. On the one hand, the authors present new algorithmic models and extensions to the basic class of Cellular GAs in order to tackle complex problems more efficiently. On the other hand, practical real world tasks are successfully faced by applying Cellular GA methodologies to produce workable solutions of real-world applications.
Capacity options for revenue management : Theory and applications in the air cargo industry
Hellermann addresses in his dissertation one of the most interesting - pects of this evolution for OR/MS, the parallel development of long-term and short-term markets for capacity and output, accompanied by a range of option and ?xed-commitment (i. e. , forward) contracts as the basic mec- nisms supporting transactions. This has been a fascinating topic for OR/MS research because it builds on the powerful framework of real options, while connecting directly to key operations decisions (capacity planning, network design, staf?ng, routing, maintenance, and so forth) of the equipment and technologies whose output is the focus of contracts.
Business Models and Corporate Reporting : Defining the Platform to Illustrate Value Creation
This book discusses the role of business models in corporate reporting. It illustrates the evolution of non-financial reporting, the importance of business model reporting, and the main conceptualisations of business models. It also offers a methodological contribution to the assessment of business model reporting. Finally, it discusses the main implication of business model reporting for different categories of subjects and some challenges related to this kind of disclosure
Building a Future with BRICs : The Next Decade for Offshoring
In 2003, Goldman Sachs published a startling report on the BRICs (Brazil, Russia, India, and China) region: These four countries would be larger than the G6 economics within 40 years, muscling their way to economic dominance over the coming decades, and powering past developed countries such as the United Kingdom, Germany, and Japan. This book focuses on the technology and technology-enabled services that underpin this social and economic revolution. The editor analyses the reasons why these four countries are in a unique position to lead a 21st century growth in international services. He then features 12 chapters written by the most important chief executives from the BRICs service economy. Indian technology leaders, such as Nandan Nilekani (Infosys), Shiv Nadar (HCL), and Rajendra Pawar (NIIT), feature alongside their peers from Brazil, Russia, and China outlining their views on the next decade for offshoring.
Bright modernity : Color, commerce, and consumer culture
Color is a visible technology that invisibly connects so many puzzling aspects of modern Western consumer societies research and development, making and selling, predicting fashion trends, and more. Building on Regina Lee Blaszczyk’s go-to history of the “color revolution” in the United States, This book explores further transatlantic and multidisciplinary dimensions of the topic. Covering history from the mid nineteenth century into the immediate past, it examines the relationship between color, commerce, and consumer societies in unfamiliar settings and in the company of new kinds of experts. Readers will learn about the early dye industry, the dynamic nomenclature for color, and efforts to standardize, understand, and educate the public about color.
Bond Portfolio Optimization
1 The tools of modern portfolio theory are in general use in the equity markets, either in the form of portfolio optimization software or as an accepted frame- 2 work in which the asset managers think about stock selection. In the ?xed income market on the other hand, these tools seem irrelevant or inapplicable. Bond portfolios are nowadays mainly managed by a comparison of portfolio 3 4 risk measures vis ¶a vis a benchmark. The portfolio manager’s views about the future evolution of the term structure of interest rates translate th- selves directly into a positioning relative to his benchmark, taking the risks of these deviations from the benchmark into account only in a very crude 5 fashion, i.e. without really quantifying them probabilistically. This is quite surprising since sophisticated models for the evolution of interest rates are commonly used for interest rate derivatives pricing and the derivation of ?xed 6 income risk measures.
Big Data Science in Finance
Explains the mathematics, theory, and methods of Big Data as applied to finance and investing Examines the mathematics, theory, and practical use of the revolutionary techniques that are transforming the industry. Designed for mathematically-advanced students and discerning financial practitioners alike, this energizing book presents new, cutting-edge content based on world-class research taught in the leading Financial Mathematics and Engineering programs in the world. Marco Avellaneda, a leader in quantitative finance, and quantitative methodology author Irene Aldridge help readers harness the power of Big Data. Provides a complete account of Big Data that includes proofs, step-by-step applications, and code samples Explains the difference between Principal Component Analysis (PCA) and Singular Value Decomposition (SVD) Covers vital topics in the field in a clear, straightforward manner Compares, contrasts, and discusses Big Data and Small Data Includes Cornell University-tested educational materials such as lesson plans, end-of-chapter questions, and downloadable lecture slides
Beyond Safety Training : Embedding Safety in Professional Skills
Investigates why, despite more and more resources devoted to safety training, expectations are not entirely met, particularly in the industrial sectors that have already achieved a high safety level. It not only reflects the most precious viewpoints of experts from different disciplines, different countries, with experiences in various industrial fields at the cutting edge of theories and practices in terms of safety, professionalization and their relationships. It also consolidates the positioning of the Foundation for an Industrial Safety Culture, highlighting what is currently considered at stake in terms of safety training, taking into account the system of constraints the different stakeholders are submitted to. It reports some success stories as well as elements which could explain the observed plateau in terms of outcome. It identifies some levers for evolution for at-risk industry and outlines a possible research agenda to go further with experimental solutions.
Automotive production systems and standardisation : From Ford to the case of Mercedes-Benz
The introduction of the Mercedes-Benz Production System (MPS) is exemplary of a trend within the automotive industry: the creation and introduction of company-specific standardised production systems. This book contributes to the debate about production systems by examining the social and economic implications of the role of standardisation in production systems. In this context it addresses three core issues: First, the driving forces behind the changing forms and functions of standardisation and the role of institutions therein. Second, the impact of standardisation on the evolution of automotive production systems. Third, based on the author's own empirical research conducted over a three year period at the Mercedes-Benz plant Stuttgart-Untertürkheim/Germany, the book examines the influence of standardisation on the work of actors on the shop floor in terms of organisational learning processes and the regulation of work.
Asias New Institutional Architecture : Evolving Structures for Managing Trade, Financial, and Security Relations
This book investigates the origins and evolution of Asia’s new institutional architecture in trade, finance, and security from both a theoretical and empirical perspective. The traditional institutional equilibrium in Asia has come under heavy strain in the "post triple shocks period" - the post-Cold War, the post-financial crisis of 1997-98, and the post-9-11 attacks. The new dynamics of rivalry and cooperation among states at both the intraregional and transregional levels is now shaping a new institutional architecture. Political and business leaders from Northeast and Southeast Asia interact with each other more frequently. South Asia’s participation in the rest of Asia in recent years is truly impressive. As we show, the future institutional trajectory of Asia is still open, but we believe that the book provides a timely examination of key shifts in the region. In doing so, our hope is to provide policymakers and analysts with an institutional road map for the future.
Arts, Sciences, and Economics : A Historical Safari
This book has a rather long-winding history. It is not like anything else the present author ever wrote, as all the rest is theoretical economics in a d- tinctively mathematical dress. For the emergence of the following pages, there are several people, - cept the author, who are to have the credit, or perhaps the blame.
Artificial intelligence for asset management and investment : A strategic perspective
The rise of artificial intelligence is nothing short of a technological revolution. AI is poised to completely transform asset management and investment banking, yet its current application within the financial sector is limited and fragmented. Existing AI implementations tend to solve very narrow business issues, rather than serving as a powerful tech framework for next-generation finance. Artificial Intelligence for Asset Management and Investment provides a strategic viewpoint on how AI can be comprehensively integrated within investment finance, leading to evolved performance in compliance, management, customer service, and beyond.
