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"Some System of the Nature Here Proposed" by Stephen C. Craig Pdf
"A regimental surgeon promoted to hospital director in the War of 1812, Joseph Lovell, MD, became the first Army staff-level surgeon general. This volume in Borden's history of medicine series is an in-depth analysis of how Lovell's report on Army medicine just after the war gave rise to innovations, from focus on the soldier's welfare and preventive medicine to accurate epidemiology and experimental research, that formed the organizational and functional principles of today's professional and effective Medical Department"--Provided by publisher.
Learning in Natural and Connectionist Systems by R.H. Phaf Pdf
Modern research in neural networks has led to powerful artificial learning systems, while recent work in the psychology of human memory has revealed much about how natural systems really learn, including the role of unconscious, implicit, memory processes. Regrettably, the two approaches typically ignore each other. This book, combining the approaches, should contribute to their mutual benefit. New empirical work is presented showing dissociations between implicit and explicit memory performance. Recently proposed explanations for such data lead to a new connectionist learning procedure: CALM (Categorizing and Learning Module), which can learn with or without supervision, and shows practical advantages over many existing procedures. Specific experiments are simulated by a network model (ELAN) composed of CALM modules. A working memory extension to the model is also discussed that could give it symbol manipulation abilities. The book will be of interest to memory psychologists and connectionists, as well as to cognitive scientists who in the past have tended to restrict themselves to symbolic models.
Natural Language Processing and Information Systems by Elisabeth Métais,Farid Meziane,Helmut Horacek,Epaminondas Kapetanios Pdf
This book constitutes the refereed proceedings of the 26th International Conference on Applications of Natural Language to Information Systems, NLDB 2021, held online in July 2021. The 19 full papers and 14 short papers were carefully reviewed and selected from 82 submissions. The papers are organized in the following topical sections: role of learning; methodological approaches; semantic relations; classification; sentiment analysis; social media; linking documents; multimodality; applications.
Nature, Cognition and System I by M.E. Carvallo Pdf
usually called the classical (scientific) attitude (according to which there is a dichotomy between nature and cognition) and suggestions for better understanding of their mutual encroach ment. The authors belong more or less to the non-standard systems science, the third order cybernetics, or find themselves already beyond the third stage in the history of artificial intelli 1 gence ). They take the inescapability of the mutual implication of the description of nature and that of cognition seriously. Fourth ly, closely linking up with the previous, it emphatically calls attention to the forgotten microscopic dimension of science. If I am not mistaken we have at this moment reached the historic stage where the tremendous renascence of the mechanistic-structural paradigm, remarkably enough, calls for its functional-dynamic counterparts. The volume strives to respond to this secret trend in various disciplines and to put into words that which is tacitly alive in the minds of the ever increasing number of people in this systemsage. The investigation on the intertwinement of nature and cognition finds itself in this very paradoxical niche structured by those two opposite developments.
Natural Language Processing and Information Systems by Chris Biemann,Siegfried Handschuh,André Freitas,Farid Meziane,Elisabeth Métais Pdf
This book constitutes the refereed proceedings of the 20th International Conference on Applications of Natural Language to Information Systems, NLDB 2015, held in Passau, Germany, in June 2015. The 18 full papers, 15 short papers, 14 poster and demonstration papers presented were carefully reviewed and selected from 100 submissions. The papers cover the following topics: information extraction, distributional semantics, querying and question answering systems, context-aware NLP, cognitive and semantic computing, sentiment and opinion analysis, information extraction and social media, NLP and usability, text classification and extraction, and posters and demonstrations.
Emergent Properties in Natural and Artificial Dynamical Systems by Moulay Aziz-Alaoui,Cyrille Bertelle Pdf
An important part of the science of complexity is the study of emergent properties arising through dynamical processes, in various natural and artificial systems. This book presents multidisciplinary approaches for creating and modeling representations of complex systems, and a variety of methods for extracting emergent structures. Offering bio-complexity examples, the coverage extends to self organization, synchronization, stability and robustness. The contributors include researchers in physics, engineering, biology and chemistry.
Building Natural Language Generation Systems by Ehud Reiter,Robert Dale Pdf
This book explains how to build Natural Language Generation (NLG) systems - computer software systems which use techniques from artificial intelligence and computational linguistics to automatically generate understandable texts in English or other human languages, either in isolation or as part of multimedia documents, Web pages, and speech output systems. Typically starting from some non-linguistic representation of information as input, NLG systems use knowledge about language and the application domain to automatically produce documents, reports, explanations, help messages, and other kinds of texts. The book covers the algorithms and representations needed to perform the core tasks of document planning, microplanning, and surface realization, using a case study to show how these components fit together. It also discusses engineering issues such as system architecture, requirements analysis, and the integration of text generation into multimedia and speech output systems.
Author : United States. Federal Power Commission Publisher : Unknown Page : 1740 pages File Size : 43,5 Mb Release : 1954 Category : Energy facilities ISBN : OSU:32437011656747
Federal Power Commission Reports by United States. Federal Power Commission Pdf
Contains all the formal opinions and accompanying orders of the Federal Power Commission ... In addition to the formal opinions, there have been included intermediate decisions which have become final and selected orders of the Commission issued during such period.
Final Environmental Impact Statement for the Alaska Natural Gas Transportation Systems: Comments and responses by United States. Federal Power Commission Pdf
Evaluating Natural Language Processing Systems by Karen Sparck Jones,Julia R. Galliers Pdf
This book is about the patterns of connections between brain structures. It reviews progress on the analysis of neuroanatomical connection data and presents six different approaches to data analysis. The results of their application to data from cat and monkey cortex are explored. This volume sheds light on the organization of the brain that is specified by its wiring.
United States. Congress. House. Committee on Interior and Insular Affairs. Subcommittee on Public Lands
Author : United States. Congress. House. Committee on Interior and Insular Affairs. Subcommittee on Public Lands Publisher : Unknown Page : 864 pages File Size : 49,7 Mb Release : 1976 Category : Natural gas ISBN : UIUC:30112069891361
Alaska Natural Gas Transportation System by United States. Congress. House. Committee on Interior and Insular Affairs. Subcommittee on Public Lands Pdf
Intrinsically Motivated Learning in Natural and Artificial Systems by Gianluca Baldassarre,Marco Mirolli Pdf
It has become clear to researchers in robotics and adaptive behaviour that current approaches are yielding systems with limited autonomy and capacity for self-improvement. To learn autonomously and in a cumulative fashion is one of the hallmarks of intelligence, and we know that higher mammals engage in exploratory activities that are not directed to pursue goals of immediate relevance for survival and reproduction but are instead driven by intrinsic motivations such as curiosity, interest in novel stimuli or surprising events, and interest in learning new behaviours. The adaptive value of such intrinsically motivated activities lies in the fact that they allow the cumulative acquisition of knowledge and skills that can be used later to accomplish fitness-enhancing goals. Intrinsic motivations continue during adulthood, and in humans they underlie lifelong learning, artistic creativity, and scientific discovery, while they are also the basis for processes that strongly affect human well-being, such as the sense of competence, self-determination, and self-esteem. This book has two aims: to present the state of the art in research on intrinsically motivated learning, and to identify the related scientific and technological open challenges and most promising research directions. The book introduces the concept of intrinsic motivation in artificial systems, reviews the relevant literature, offers insights from the neural and behavioural sciences, and presents novel tools for research. The book is organized into six parts: the chapters in Part I give general overviews on the concept of intrinsic motivations, their function, and possible mechanisms for implementing them; Parts II, III, and IV focus on three classes of intrinsic motivation mechanisms, those based on predictors, on novelty, and on competence; Part V discusses mechanisms that are complementary to intrinsic motivations; and Part VI introduces tools and experimental frameworks for investigating intrinsic motivations. The contributing authors are among the pioneers carrying out fundamental work on this topic, drawn from related disciplines such as artificial intelligence, robotics, artificial life, evolution, machine learning, developmental psychology, cognitive science, and neuroscience. The book will be of value to graduate students and academic researchers in these domains, and to engineers engaged with the design of autonomous, adaptive robots. The contributing authors are among the pioneers carrying out fundamental work on this topic, drawn from related disciplines such as artificial intelligence, robotics, artificial life, evolution, machine learning, developmental psychology, cognitive science, and neuroscience. The book will be of value to graduate students and academic researchers in these domains, and to engineers engaged with the design of autonomous, adaptive robots.
