Christina F. Rusnock – författare

Graduate research is a complicated process, which many undergraduate students aspire to undertake. The complexity of the process can lead to failures for even the most brilliant students. Success at the graduate research level requires not only a high level of intellectual ability but also a high level of project management skills. Unfortunately, many graduate students have trouble planning and implementing their research.Project Management for Research: A Guide for Graduate Students reflects the needs of today’s graduate students. All graduate students need mentoring and management guidance that has little to do with their actual classroom performance. Graduate students do a better job with their research programs if a self-paced guide is available to them. This book provides such a guide. It covers topics ranging from how to select an appropriate research problem to how to schedule and execute research tasks. The authors take a project management approach to planning and implementing graduate research in any discipline. They use a conversational tone to address the individual graduate student.This book helps graduate students and advisors answer most of the basic questions of conducting and presenting graduate research, thereby alleviating frustration on the part of both student and advisor. It presents specific guidelines and examples throughout the text along with more detailed examples in reader-friendly appendices at the end. By being more organized and prepared to handle basic research management functions, graduate students, along with their advisors, will have more time for actual intellectual mentoring and knowledge transfer, resulting in a more rewarding research experience.

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.