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Beginning in the early 1980s and continuing through the middle 1990s, the U.S. Army Research Institute for the Behavioral and Social Sciences (ARI) sponsored a comprehensive research and development program to evaluate and enhance the Army's personnel selection and classification procedures. This was a set of interrelated efforts, collectively known as Project A. Project A had a number of basic and applied research objectives pertaining to selection and classification decision making. It focused on the entire selection and classification system for Army enlisted personnel and addressed research questions that can be generalized to other personnel systems. It involved the development and evaluation of a comprehensive array of predictor and criterion measures using samples of tens of thousands of individuals in a broad range of jobs. The research included a longitudinal sample--from which data were collected at organizational entry--following training, after 1-2 years on the job and after 3-4 years on the job. This book provides a concise and readable description of the entire Project A research program. The editors share the problems, strategies, experiences, findings, lessons learned, and some of the excitement that resulted from conducting the type of project that comes along once in a lifetime for an industrial/organizational psychologist. This book is of interest to industrial/organizational psychologists, including experienced researchers, consultants, graduate students, and anyone interested in personnel selection and classification research.
Bringing together several key elements needed to identify the most promising themes for future research in selection and classification, this book's underlying aim is to improve job performance by selecting the right persons and matching them most effectively with the right jobs. An emphasis is placed on current, innovative research approaches which in some cases depart substantially from traditional approaches. The contributors -- consisting of professionals in measurement, personnel research, and applied and military psychology -- discuss where the quantum advances of the last decade should take us further. Comprehensive coverage of the selection and classification domain is provided, including a broad range of topics in each of the following areas: performance conceptualization and measurement, individual differences, and selection and classification decision models. The presentations in each of these areas are integrated into a set of coherent themes. This integration was the product of structured group discussions which also resulted in a further evolution of some of the ideas presented.
Multi-robot systems are a major research topic in robotics. Designing, testing, and deploying aerial robots in the real world is a possibility due to recent technological advances. This book explores different aspects of cooperation in multiagent systems. It covers the team approach as well as deterministic decision-making. It also presents distributed receding horizon control, as well as conflict resolution, artificial potentials, and symbolic planning. The book also covers association with limited communications, as well as genetic algorithms and game theory reasoning. Multiagent decision-making and algorithms for optimal planning are also covered along with case studies. Key features: Provides a comprehensive introduction to multi-robot systems planning and task allocation Explores multi-robot aerial planning; flight planning; orienteering and coverage; and deployment, patrolling, and foraging Includes real-world case studies Treats different aspects of cooperation in multiagent systems Both scientists and practitioners in the field of robotics will find this text valuable.
These volumes represent a concerted attempt to link what is known from human performance research to recognized national needs for improving productivity. The product of a National Science Foundation project directed by the series editor, the set features authoritative reviews by leading psychologists in the field. The volumes cover many areas of human performance not included in other books.
This book provides an introduction to the emerging field of planning and decision making for aerial robots. An aerial robot is the ultimate form of Unmanned Aerial Vehicle, an aircraft endowed with built-in intelligence, requiring no direct human control and able to perform a specific task. It must be able to fly within a partially structured environment, to react and adapt to changing environmental conditions and to accommodate for the uncertainty that exists in the physical world. An aerial robot can be termed as a physical agent that exists and flies in the real 3D world, can sense its environment and act on it to achieve specific goals. So throughout this book, an aerial robot will also be termed as an agent. Fundamental problems in aerial robotics include the tasks of spatial motion, spatial sensing and spatial reasoning. Reasoning in complex environments represents a difficult problem. The issues specific to spatial reasoning are planning and decision making. Planning deals with the trajectory algorithmic development based on the available information, while decision making determines priorities and evaluates potential environmental uncertainties. The issues specific to planning and decision making for aerial robots in their environment are examined in this book and categorized as follows: motion planning, deterministic decision making, decision making under uncertainty and finally multi-robot planning. A variety of techniques are presented in this book, and a number of relevant case studies are examined. The topics considered in this book are multidisciplinary in nature and lie at the intersection of Robotics, Control Theory, Operational Research and Artificial Intelligence.
"This book provides a compendium of terms, definitions, and explanations of concepts, issues, and trends in grid technology"--Provided by publisher.