Integrating Artificial And Human Intelligence Through Agent Oriented Systems Design
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Integrating Artificial and Human Intelligence through Agent Oriented Systems Design
This book departs from the assumption that Artificial Intelligence (AI) systems will provide a maximum advantage by replacing human cognitive processing. Instead, this book subscribes to the assumption that AI systems will provide a maximal advantage when the system is specifically designed to augment human intelligence. It provides methods for designing effective systems that include one or more humans and one or more AI entities and uses the approach that assumes automation does not replace human activity but fundamentally changes the structure of human work when AI is added to existing systems. Integrating Artificial and Human Intelligence through Agent Oriented Systems Design discusses the potential impact of AI on human work and life and explores why teamwork is necessary today for complex work environments. The book explains the processes and methods humans employ to effectively team with one another and presents the elements of artificial agents that permit them to function as team members in joint human and artificial teams. It discusses design goals and illustrates how the methods that have been used to model the complex interactions among human and artificial agents can be expanded to enable the design of interaction between them to make possible the attainment of the shared goals. Model-Based Systems Engineering (MBSE) tools that provide logical designs of human–agent teams, the AI within these teams, training to be deployed for human and artificial agent team members, and the interfaces between human and artificial agent team members are all covered. MBSE files containing profiles and examples for building MBSE models used in the design approach are featured on the author’s website (https://lodesterresci.com/hat). This book is an ideal read for students, professors, engineers, and project managers associated with designing and developing AI systems or systems that seek to incorporate AI.
Handbook of Digital Innovation, Transformation, and Sustainable Development in a Post-Pandemic Era
Businesses have faced a variety of difficulties as a result of the global pandemic, and how they responded to this disruption has affected both their resilience and their ability to get through this crisis. Digital technologies have played a crucial role in addressing these issues and fostering resilience. It is, therefore, imperative to explore options for post-pandemic business transformation and rethinking sustainable development. Handbook of Digital Innovation, Transformation, and Sustainable Development in a Post-Pandemic Era, covers digital innovation and business transformation to build resilience for sustainable development and growth and highlights the impact of supply chain disruptions and solutions to sustain. The handbook stands out for its inclusion of industry cases from various regions across the globe. By presenting the use of big data, blockchain technology, and Industry 4.0, the handbook conveys how to work towards sustainable development and offers self-reliant and sustainable business models. Researchers and practitioners in industrial engineering, engineering management, business management, supply chain management, and digital technologies along with businesses can apply the research and practices covered in the handbook. Chapters 3 and 14 of this book is freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license.
Project Management for the Oil and Gas Industry
This volume focuses on the broad scope of systems engineering and recent energy technology developments as they relate to the oil and gas industry, which remains a lifeline to communities around the world. In 2015, the United Nations adopted the 17 Sustainable Development Goals (SDGs) to, among other things, curtail the catastrophe that will befall the world from the increasing menace of global warming and climate change. The best way to achieve most or all the goals is to use a comprehensive systems-based approach, specifically, leveraging the efficacy of systems engineering for project management in the oil and gas industry. Systems Engineering and Technology presents the systems-based interrelationships of energy generation, transmission, distribution, and consumption. This volume will expand on elements of the first edition to encapsulate new developments in technologies, from a systems approach. In tackling climate change problems, both qualitative and quantitative approaches must be pursued. This allows us to bring in technological approaches as well as human-centered social considerations. The premise of this volume is that a systems engineering approach is the key to making the desired progress, where renewables and conventional oil and gas can coexist. This book contains a mix of technical, social, economic, engineering, and political considerations ideal for practitioners, designers, consultants, contractors, risk and quality managers, along with project managers and systems engineers involved in oil and gas projects, and related industries.