Decision making under uncertainty : theory and application / / Mykel J. Kochenderfer, with contributions from Christopher Amato, Girish Chowdhary, Jonathan P. How, Hayley J. Davison Reynolds, Jason R. Thornton, Pedro A. Torres-Carrasquillo, N. Kemal Üre, John Vian

• Record Nr.: UNINA9910260595903321
• Autore: Kochenderfer Mykel J. <1980->
• Pubbl/distr/stampa: Cambridge, Massachusetts : , : MIT Press, , [2015]; [Piscataqay, New Jersey] : , : IEEE Xplore, , [2015]
• Descrizione fisica: 1 PDF (xxv, 323 pages) : illustrations (some color), portraits
• Collana: Lincoln Laboratory series
• Disciplina: 003/.56
• Soggetti: Intelligent control systems; Automatic machinery; Decision making - Mathematical models
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di bibliografia: Includes bibliographical references and index.
• Sommario/riassunto: Many important problems involve decision making under uncertainty -- that is, choosing actions based on often imperfect observations, with unknown outcomes. Designers of automated decision support systems must take into account the various sources of uncertainty while balancing the multiple objectives of the system. This book provides an introduction to the challenges of decision making under uncertainty from a computational perspective. It presents both the theory behind decision making models and algorithms and a collection of example applications that range from speech recognition to aircraft collision avoidance.Focusing on two methods for designing decision agents, planning and reinforcement learning, the book covers probabilistic models, introducing Bayesian networks as a graphical model that captures probabilistic relationships between variables; utility theory as a framework for understanding optimal decision making under uncertainty; Markov decision processes as a method for modeling sequential problems; model uncertainty; state uncertainty; and cooperative decision making involving multiple interacting agents. A ; series of applications shows how the theoretical concepts can be applied to systems for attribute-based person search, speech applications, collision avoidance, and unmanned aircraft persistent surveillance. Decision Making Under Uncertainty unifies research from different communities using consistent notation, and is accessible to students and researchers across engineering disciplines who have some prior exposure to probability theory and calculus. It can be used as a text for advanced undergraduate and graduate students in fields including computer science, aerospace and electrical engineering, and management science. It will also be a valuable professional reference for researchers in a variety of disciplines.

Childhood trauma and its effects : implications for police / / Richard G. Dudley, Jr., M.D

• Record Nr.: UNINA9910707306503321
• Autore: Dudley Richard G., Jr.
• Pubbl/distr/stampa: Laurel, MD : , : U.S. Department of Justice, Office of Justice Programs, National Institute of Justice, , 2015
• Descrizione fisica: 1 online resource (21 pages)
• Collana: New perspectives in policing
• Soggetti: Psychic trauma in children - United States; Children and violence - United States; Adult child abuse victims - Mental health - United States; Police training - United States; Community policing - United States
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: "Harvard Kennedy School, Program in Criminal Justice Policy and Management; NIJ, National Institute of Justice"--At head of title.; "July 2015."; "NCJ 248686."; Title from title screen (viewed August 3, 2016).
• Nota di bibliografia: Includes bibliographical references (pages 15-20).