Focusing on the application of artificial intelligence, this book explores solutions to complex issues across various fields, including engineering, biomedical sciences, social science, and economics. It addresses specific challenges such as interstate conflict, credit scoring, and breast cancer diagnosis. The author introduces the concept of flexibly-bounded rationality, expanding on Herbert Simon's theory by emphasizing the adaptability of rational decision-making boundaries through advancements in signal processing and technology.
Focusing on the intersection of artificial intelligence and economics, this book explores innovative methods for modeling economic data, emphasizing the importance of causality. It introduces new frameworks to tackle causal relationships and incorporates evolutionary computing techniques to analyze and adapt to changing economic environments.
This book theoretically and practically updates major economic ideas such as demand and supply, rational choice and expectations, bounded rationality, behavioral economics, information asymmetry, pricing, efficient market hypothesis, game theory, mechanism design, portfolio theory, causality and financial engineering in the age of significant advances in man-machine systems. The advent of artificial intelligence has changed many disciplines such as engineering, social science and economics. Artificial intelligence is a computational technique which is inspired by natural intelligence concepts such as the swarming of birds, the working of the brain and the pathfinding of the ants. Artificial Intelligence and Economic Theory: Skynet in the Market analyses the impact of artificial intelligence on economic theories, a subject that has not been studied. It also introduces new economic theories and these are rational counterfactuals and rational opportunity costs. These ideas are applied to diverse areas such as modelling of the stock market, credit scoring, HIV and interstate conflict. Artificial intelligence ideas used in this book include neural networks, particle swarm optimization, simulated annealing, fuzzy logic and genetic algorithms. It, furthermore, explores ideas in causality including Granger as well as the Pearl causality models.
Closing the Gap is an accessible overview of the fourth industrial revolution (4IR) and the impact it is set to have on various sectors in South Africa and Africa. It explores the previous industrial revolutions that have led up to this point and outlines what South Africa's position has been through each one. With a focus on artificial intelligence as a core concept in understanding the 4IR, this book uses familiar concepts to explain artificial intelligence, how it works and how it can be used in banking, mining, medicine and many other fields. Written from an African perspective, Closing the Gap addresses the challenges and fears around the 4IR by pointing to the opportunities presented by new technologies and outlining some of the challenges and successes to date.
Focusing on the theories and applications of artificial intelligence, the book delves into key machine learning techniques such as fuzzy logic, neural networks, hidden Markov models, and genetic algorithms. It highlights advancements in these areas while addressing the complex issue of causality. Designed as a comprehensive reference, it serves as a valuable resource for practitioners seeking to deepen their understanding of AI methodologies and their practical applications.
FEM updating enhances finite element models to align with measured data, employing both maximum likelihood and Bayesian statistical frameworks. The book explores the application of various computational intelligence techniques, such as neural networks and optimization methods, to streamline the updating process. It emphasizes selecting the most suitable updated FEM, integrating engineering judgment into the models. Through case studies, it validates these approaches and critically examines current practices, highlighting new research opportunities in FEM updating.
Condition monitoring techniques are explored to prevent equipment failure, extend lifespan, minimize downtime, and lower maintenance costs. The book delves into various methods, including principal component analysis, providing practical insights for optimizing equipment performance and reliability.
Focusing on the intersection of artificial intelligence and mechanism design, this book presents a novel framework for understanding international politics. It examines how specific rules can shape relationships among nations to achieve desired outcomes like peace, trade, or democracy. By applying AI techniques to political and economic contexts, the author highlights innovative approaches to contemporary global challenges. This work is particularly relevant for scholars interested in international relations, sustainable development, and the role of technology in society.
Recent advancements in AI and Mechanism Design offer innovative solutions to collective action problems in international relations, such as climate change and security. The book explores how integrating these technologies can enhance cooperation and coordination among diverse global actors. Dr. Tshilidzi Marwala illustrates the application of Game Theory, Mechanism Design, and AI to critical issues like interstate conflict and cybersecurity. By optimizing mechanisms, it aims to create more effective institutions and policies, fostering interdisciplinary approaches to complex global challenges.
Focusing on missing data imputation, this book presents innovative computational intelligence techniques for estimating missing values based on observed data. It emphasizes the need for a fresh perspective in research, offering a comprehensive body of work that enhances the understanding of data management. The methodologies discussed enable computers to discern the underlying structure of datasets, making it a valuable resource for professionals in information engineering and related fields.
