Download Free Recognizing Variable Environments Book in PDF and EPUB Free Download. You can read online Recognizing Variable Environments and write the review.

Normal adults do not have any difficulty in recognizing their homes. But can artificial systems do in the same way as humans? This book collects interdisciplinary evidences and presents an answer from the perspective of computing, namely, the theory of cognitive prism. To recognize an environment, an intelligent system only needs to classify objects, structures them based on the connection relation (not through measuring!), subjectively orders the objects, and compares with the target environment, whose knowledge is similarly structured. The intelligent system works, therefore, like a prism: when a beam of light (a scene) reaches (is perceived) to an optical prism (by an intelligent system), some light (objects) is reflected (are neglected), those passed through (the recognized objects) are distorted (are ordered differently). So comes the term 'cognitive prism'! Two fundamental propositions used in the theory can be informally stated as follow: an orientation relation is a kind of distance comparison relation -- you being in front of me means you being nearer to my face than to my other sides; a pair of objects being connected means any object, precisely the space occupied by the object, can be moved to a place where it connects with the pair.
Papers from an October 2002 symposium describe research in areas including algorithms, artificial intelligence, computer graphics, computer networks, databases, evolutionary computation, graph theory, image processing, multimedia technology, software engineering, and software performance engineering
The United States is among the wealthiest nations in the world, but it is far from the healthiest. Although life expectancy and survival rates in the United States have improved dramatically over the past century, Americans live shorter lives and experience more injuries and illnesses than people in other high-income countries. The U.S. health disadvantage cannot be attributed solely to the adverse health status of racial or ethnic minorities or poor people: even highly advantaged Americans are in worse health than their counterparts in other, "peer" countries. In light of the new and growing evidence about the U.S. health disadvantage, the National Institutes of Health asked the National Research Council (NRC) and the Institute of Medicine (IOM) to convene a panel of experts to study the issue. The Panel on Understanding Cross-National Health Differences Among High-Income Countries examined whether the U.S. health disadvantage exists across the life span, considered potential explanations, and assessed the larger implications of the findings. U.S. Health in International Perspective presents detailed evidence on the issue, explores the possible explanations for the shorter and less healthy lives of Americans than those of people in comparable countries, and recommends actions by both government and nongovernment agencies and organizations to address the U.S. health disadvantage.
This book discusses the foundations of social and environmental accounting and highlights local differences in countries like Italy and Bulgaria. It also describes the institutional environment, which affects the development and application of environmental accounting and reporting, as a basis for evaluating current achievements and the future steps that need to be taken to develop and spread environmental accounting. The book is unique in presenting exemplary cases from different emerging and developed countries. It is a valuable resource for theorists in the field, practitioners in companies, as well as investors and other stakeholders. Moreover, it provides students with the necessary theoretical constructs, empirical studies as well as practical and managerial tools to allow for a quick orientation in the methodology, techniques and selected practices used in environmental accounting and reporting.
Environmental and Human Security: Then and Now 1 2 ALAN D. HECHT AND P. H. LIOTTA * 1 U. S. Environmental Protection Agency Office of Research and Development 2 Pell Center for International Relations and Public Policy Salve Regina University 1. Nontraditional Threats to Security The events of September 11, 2001 have sharpened the debate over the meaning of being secure. Before 9/11 there were warnings in all parts of the world that social and environmental changes were occurring. While there was prosperity in North America and Western Europe, there was also increasing recognition that local and global effects of ecosystem degradation posed a serious threat. Trekking from Cairo to Cape Town thirty years after living in Africa as a young teacher, for example, travel writer Paul Theroux concluded that development in sub-Saharan Africa had failed to improve the quality of life for 300 million people: “Africa is materially more decrepit than it was when I first knew it—hungrier, poorer, less educated, more pessimistic, more corrupt, and you can’t tell the politicians from the witch-doctors” (2002). While scholars and historians will debate the causes of 9/11 for some time, one message is clear: An often dizzying array of nontraditional threats and complex vulnerabilities define security today. We must understand them, and deal with them, or suffer the consequences. Environmental security has always required att- tion to nontraditional threats linked closely with social and economic well-being.
State-of-the-art robotics research on such topics as manipulation, motion planning, micro-robotics, distributed systems, autonomous navigation, and mapping. Robotics: Science and Systems IV spans a wide spectrum of robotics, bringing together researchers working on the foundations of robotics, robotics applications, and analysis of robotics systems. This volume presents the proceedings of the fourth annual Robotics: Science and Systems conference, held in 2008 at the Swiss Federal Institute of Technology in Zurich. The papers presented cover a range of topics, including computer vision, mapping, terrain identification, distributed systems, localization, manipulation, collision avoidance, multibody dynamics, obstacle detection, microrobotic systems, pursuit-evasion, grasping and manipulation, tracking, spatial kinematics, machine learning, and sensor networks as well as such applications as autonomous driving and design of manipulators for use in functional-MRI. The conference and its proceedings reflect not only the tremendous growth of robotics as a discipline but also the desire in the robotics community for a flagship event at which the best of the research in the field can be presented.
If only it were possible to develop automated and trainable neural systems that could justify their behavior in a way that could be interpreted by humans like a symbolic system. The field of Neurosymbolic AI aims to combine two disparate approaches to AI; symbolic reasoning and neural or connectionist approaches such as Deep Learning. The quest to unite these two types of AI has led to the development of many innovative techniques which extend the boundaries of both disciplines. This book, Compendium of Neurosymbolic Artificial Intelligence, presents 30 invited papers which explore various approaches to defining and developing a successful system to combine these two methods. Each strategy has clear advantages and disadvantages, with the aim of most being to find some useful middle ground between the rigid transparency of symbolic systems and the more flexible yet highly opaque neural applications. The papers are organized by theme, with the first four being overviews or surveys of the field. These are followed by papers covering neurosymbolic reasoning; neurosymbolic architectures; various aspects of Deep Learning; and finally two chapters on natural language processing. All papers were reviewed internally before publication. The book is intended to follow and extend the work of the previous book, Neuro-symbolic artificial intelligence: The state of the art (IOS Press; 2021) which laid out the breadth of the field at that time. Neurosymbolic AI is a young field which is still being actively defined and explored, and this book will be of interest to those working in AI research and development.
This work, the first to apply contingency theory to education reform planning, is particularly useful in that it has applications to planning both in developing countries and in the United States and Europe. The basic approach applies to a wide variety of development programs and will influence project management and policy administration.
Published annually, this comprehensive four-volume paperback reviews all four parts of the CPA exam. Many of the questions are taken directly from previous CPA exams. With 3,800 multiple-choice questions, these study guides provide all the information candidates need to master in order to pass the computerized Uniform CPA Examination.