Bücher von Tshilidzi Marwala

This book examines enterprise risk management in the fourth industrial revolution, and the technologies associated with this phenomenon. In doing so, it seeks to understand these technologies' potential capabilities, and how they could be utilised in the enterprise risk management setting. With this, the book first details the fourth industrial revolution (4IR), and discusses the concept of enterprise risk management, the stakeholders involved, the typical information stakeholders will be responsible for, and their role in integrating risk management information. The book then examines the information processing steps and the new capabilities in the enterprise risk setting necessitated by the capabilities of the 4IR technologies to harness, analyse and integrate information for decision-making and understanding internal and external contexts. In the final chapter, the book conceptualises enterprise risk management in the 4IR, and maps out potential role changes in this space.

This book explores how AI and mechanism design can provide a new framework for international politics. The international political system is all manners in which countries, governments and people relate. Mechanism design in international politics relates to identifying rules that define relationships between people and countries that achieve a particular outcome, e.g., peace or more trade or democracy or economic development. Artificial intelligence is technique of making machines intelligent. This book explores mechanism design and artificial intelligence in international politics and applies these technologies to politics, economy and society. This book will be of interest to scholars of international relations, politics, sustainable development, and artificial intelligence.

This book discusses the impact of artificial intelligence (AI) on international relations theories. As a phenomenon, AI is everywhere in the real world and growing. Through its transformative nature, it is simultaneously simplifying and complicating processes. Importantly, it also overlooks and ¿misunderstands¿. Globally, leaders, diplomats and policymakers have had to familiarise themselves and grapple with concepts such as algorithms, automation, machine learning, and neural networks. These and other features of modern AI are redefining our world, and with it, the long-held assumptions scholars of IR have relied on for their theoretical accounts of our universe. The book takes a historic, contemporary and long-term approach to explain and anticipate AI¿s impact on IR ¿ and vice versa ¿ through a systematic treatment of 9 theoretical paradigms and schools of thought including realism, liberalism, feminism, postcolonial theory and green theory. This book draws on original datasets, innovative empirical case studies and in-depth engagement with the core claims of the traditional and critical theoretical lenses to reignite debates on the nature and patterns of power, ethics, conflict, and systems among states and non-state actors.

This self-contained book, written by active researchers, presents up-to-date information on smart maintenance strategies for human-robot interaction (HRI) and the associated applications of novel search algorithms in a single volume, eliminating the need to consult scattered resources.

Artificial Intelligence Techniques for Rational Decision Making

This book examines the application of artificial intelligence methods to model economic data. It addresses causality and proposes new frameworks for dealing with this issue. It also applies evolutionary computing to model evolving economic environments.

This volume offers a scientific approach to manage inter-country conflict. Readers will find that through simultaneous control of four specific aspects (democracy, dependency, allies and capacity), predicted dispute outcomes can be avoided.

This book shows how condition monitoring can be used to help avoid equipment failure and lengthen useful life, minimize downtime and reduce maintenance costs. Covers the uses of such techniques as principal component analysis, and much more.

This book details advanced methods for tuning finite element simulations to measured data. Case studies demonstrate the principles and test the viability of the approaches. Coverage also critically analyzes the state of the art in FEM updating.

Deep Learning and Missing Data in Engineering Systems uses deep learning and swarm intelligence methods to cover missing data estimation in engineering systems.

What happened to the 'old' intellectual movement? What happened to the thinkers who inspired and led our struggle? In pursuit of answers to these questions, MISTRA in partnership with the Liliesleaf Trust, hosted a roundtable in March 2015 on the theme 'The Role of Intellectuals in the State-Society Nexus'.

The issue of missing data imputation has been extensively explored in information engineering. This book presents methods and technologies in estimation of missing values given the observed data. It covers techniques such as radial basis functions, support vector machines, and principal component analysis.