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During the early modern era (c. 1600-1800), philosophers formulated a number of new questions, methods of investigation, and theories regarding the nature of the mind. The result of their efforts has been described as "the original cognitive revolution." Topics in Early Modern Philosophy of Mind provides a comprehensive snapshot of this exciting period in the history of thinking about the mind, presenting studies of a wide array of philosophers and topics. Written by some of today's foremost authorities on early modern philosophy, the ten chapters address issues ranging from those that have long captivated philosophers and psychologists as well as those that have been underexplored. Likewise, the papers engage figures from the history of ideas who are well-known today (Descartes, Hume, Kant) as well as those who have been comparatively neglected by contemporary scholarship (Desgabets, Boyle, Collins). This volume will become an essential reference work that graduate students and professionals in the fields of philosophy of mind, the history of philosophy, and the history of psychology will want to own.

filosofie --- History of philosophy --- persoonlijkheidsleer --- geschiedenis --- Psychology --- Philosophical anthropology --- Theory of knowledge --- Philosophy of mind --- Mind, Philosophy of --- Mind, Theory of --- Theory of mind --- Philosophy --- Cognitive science --- Metaphysics --- History

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Each passing year bears witness to the development of ever more powerful computers, increasingly fast and cheap storage media, and even higher bandwidth data connections. This makes it easy to believe that we can now – at least in principle - solve any problem we are faced with so long as we only have enough data. Yet this is not the case. Although large databases allow us to retrieve many different single pieces of information and to compute simple aggregations, general patterns and regularities often go undetected. Furthermore, it is exactly these patterns, regularities and trends that are often most valuable. To avoid the danger of "drowning in information, but starving for knowledge" the branch of research known as data analysis has emerged, and a considerable number of methods and software tools have been developed. However, it is not these tools alone but the intelligent application of human intuition in combination with computational power, of sound background knowledge with computer-aided modeling, and of critical reflection with convenient automatic model construction, that results in successful intelligent data analysis projects. Guide to Intelligent Data Analysis provides a hands-on instructional approach to many basic data analysis techniques, and explains how these are used to solve data analysis problems. Topics and features: Guides the reader through the process of data analysis, following the interdependent steps of project understanding, data understanding, data preparation, modeling, and deployment and monitoring Equips the reader with the necessary information in order to obtain hands-on experience of the topics under discussion Provides a review of the basics of classical statistics that support and justify many data analysis methods, and a glossary of statistical terms Includes numerous examples using R and KNIME, together with appendices introducing the open source software Integrates illustrations and case-study-style examples to support pedagogical exposition Supplies further tools and information at the associated website: http://www.idaguide.net/ This practical and systematic textbook/reference for graduate and advanced undergraduate students is also essential reading for all professionals who face data analysis problems. Moreover, it is a book to be used following one's exploration of it. Dr. Michael R. Berthold is Nycomed-Professor of Bioinformatics and Information Mining at the University of Konstanz, Germany. Dr. Christian Borgelt is Principal Researcher at the Intelligent Data Analysis and Graphical Models Research Unit of the European Centre for Soft Computing, Spain. Dr. Frank Höppner is Professor of Information Systems at Ostfalia University of Applied Sciences, Germany. Dr. Frank Klawonn is a Professor in the Department of Computer Science and Head of the Data Analysis and Pattern Recognition Laboratory at Ostfalia University of Applied Sciences, Germany. He is also Head of the Bioinformatics and Statistics group at the Helmholtz Centre for Infection Research, Braunschweig, Germany.

Artificial intelligence. --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Artificial Intelligence.

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Je komt in behandeling omdat je last hebt van problemen die waarschijnlijk samenhangen met herinneringen aan vervelende gebeurtenissen die je hebt meegemaakt. Dit kunnen problemen zijn zoals nachtmerries, nare herinneringen, vermijden van plaatsen of mensen die aan de vervelende gebeurtenis doen denken en schrikreacties. Met behulp van dit boek leer je hoe je stap voor stap je problemen de baas kunt worden. Oefeningen die beschreven staan helpen je daarbij . Ook leer je hoe je met ouder(s) kunt praten over wat je hebt meegemaakt. Het aanpakken van je problemen doe je niet alleen. Je therapeut en je ouders helpen je daarbij. Dit werkboek voor kinderen en jongeren hoort bij de eerder verschenen handleiding Behandeling van trauma bij kinderen en adolescenten met de methode Traumagerichte Cognitieve Gedragstherapie van Cohen, Mannarino en Deblinger.

Psychiatry --- adolescenten --- kinderen --- traumatologie --- relaxatie --- gedragstherapie --- cognitieve therapie --- psychotrauma's --- Cognitieve gedragstherapie --- Trauma's ; kinderen --- Trauma's --- 615.84 --- jongeren --- adolescentie --- Psychology. --- Cognitive psychology. --- Psychology, general. --- Cognitive Psychology. --- Psychology, Cognitive --- Cognitive science --- Psychology --- Behavioral sciences --- Mental philosophy --- Mind --- Science, Mental --- Human biology --- Philosophy --- Soul --- Mental health

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This book discusses two of the oldest and hardest problems in both science and philosophy: What is matter?, and What is mind? A reason for tackling both problems in a single book is that two of the most influential views in modern philosophy are that the universe is mental (idealism), and that the everything real is material (materialism). Most of the thinkers who espouse a materialist view of mind have obsolete ideas about matter, whereas those who claim that science supports idealism have not explained how the universe could have existed before humans emerged. Besides, both groups tend to ignore the other levels of existence chemical, biological, social, and technological. If such levels and the concomitant emergence processes are ignored, the physicalism/spiritualism dilemma remains unsolved, whereas if they are included, the alleged mysteries are shown to be problems that science is treating successfully.

Philosophical anthropology --- Philosophy of science --- Matter. --- Mind and body. --- Philosophy of mind. --- Physics --- Quantum theory. --- Philosophy. --- Matter --- Mind and body --- Philosophy of mind --- Quantum theory --- Quantum dynamics --- Quantum mechanics --- Quantum physics --- Mechanics --- Thermodynamics --- Mind, Philosophy of --- Mind, Theory of --- Theory of mind --- Philosophy --- Cognitive science --- Metaphysics --- Body and mind --- Body and soul (Philosophy) --- Human body --- Mind --- Mind-body connection --- Mind-body relations --- Mind-cure --- Somatopsychics --- Brain --- Dualism --- Holistic medicine --- Mental healing --- Parousia (Philosophy) --- Phrenology --- Psychophysiology --- Self --- Atoms --- Dynamics --- Gravitation --- Substance (Philosophy) --- Psychological aspects

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These are the proceedings of the 8th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2005, held in Barcelona (Spain), July 6-8, 2005. The ECSQARU conferences are biennial and have become a major forum for advances in the theory and practice of r- soning under uncertainty. The ?rst ECSQARU conference was held in Marseille (1991), and after in Granada (1993), Fribourg (1995), Bonn (1997), London (1999), Toulouse (2001) and Aalborg (2003). The papers gathered in this volume were selected out of 130 submissions, after a strict review process by the members of the Program Committee, to be presented at ECSQARU 2005. In addition, the conference included invited lectures by three outstanding researchers in the area, Seraf´ ?n Moral (Imprecise Probabilities), Rudolf Kruse (Graphical Models in Planning) and J´ erˆ ome Lang (Social Choice). Moreover, the application of uncertainty models to real-world problems was addressed at ECSQARU 2005 by a special session devoted to s- cessful industrial applications, organized by Rudolf Kruse. Both invited lectures and papers of the special session contribute to this volume. On the whole, the programme of the conference provided a broad, rich and up-to-date perspective of the current high-level research in the area which is re?ected in the contents of this volume. IwouldliketowarmlythankthemembersoftheProgramCommitteeandthe additional referees for their valuable work, the invited speakers and the invited session organizer.

Artificial intelligence. --- Mathematical logic. --- Artificial Intelligence. --- Mathematical Logic and Formal Languages. --- Algebra of logic --- Logic, Universal --- Mathematical logic --- Symbolic and mathematical logic --- Symbolic logic --- Mathematics --- Algebra, Abstract --- Metamathematics --- Set theory --- Syllogism --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers