Conculision Of Law Od Dmu

Nursing Health Economics

Decision Making Under Uncertainty

An introduction to decision making under uncertainty from a computational perspective, covering both theory and applications ranging from speech recognition to airborne collision avoidance. 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.

European Yearbook of International Economic Law 2016

Volume 7 of the EYIEL focusses on critical perspectives of international economic law. Recent protests against free trade agreements such as the Transatlantic Trade and Investment Partnership (TTIP) remind us that international economic law has always been a politically and legally contested field. This volume collects critical contributions on trade, investment, financial and other subfields of international economic law from scholars who have shaped this debate for many years. The critical contributions to this volume are challenged and sometimes rejected by commentators who have been invited to be “critical with the critics”. The result is a unique collection of critical essays accompanied by alternative and competing views on some of the most fundamental topics of international economic law. In its section on regional developments, EYIEL 7 addresses recent megaregional and plurilateral trade and investment agreements and negotiations. Short insights on various aspects of the Transpacific Partnership (TPP) and its sister TTIP are complemented with comments on other developments, including the African Tripartite FTA und the negotiations on a plurilateral Trade in Services Agreement (TiSA). Further sections address recent WTO and investment case law as well as recent developments concerning the IMF, UNCTAD and the WCO. The volume closes with reviews of recent books in international economic law.