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Occupant behaviour in buildings is a point of interest for building designers around the world. Functional buildings have a significant energy demand; therefore, improving the thermal and energy performance of such buildings requires knowledge about the variables that influence them. However, to increase the potential for improving thermal and energy performance of buildings, studies must also consider the occupant's interactions with the built environment. The occupant behaviour influences the conditions of the internal environment through the occupation of indoor building spaces and through the interaction with building elements, such as air-conditioning, lighting, blinds and windows. Occupant Behaviour in Buildings: Advances and Challenges brings together reviews of these influential aspects, presenting updates on advances and questions that pose challenges in our current understanding of behavioural modeling and its application to building design. Special topics covered in the book include methods to survey occupant behavior, building design choices, occupant behaviour impact on a building's thermal and energy efficiency, and,finally, a simulation of occupants in a building. Key Features - Presents up-to-date information on occupant behaviour in buildings - Eight chapters, written by renowned researchers, provide readers with useful insights on the subject - Includes a case study of buildings in Brazil - Structured reader-friendly content - References for further reading -- This reference is an informative resource for students and professionals in architecture, civil engineering, building information design, and urban planning. Readers interested in social and behavioural sciences will also gain insights on research methods that are helpful in investigating human behavior in urban dwellings.
Human behavior models. --- Building. --- Civil Engineering --- Technology & Engineering
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Inside Man presents readers with an exercise in modeling human ways of being—thinking, feeling, acting. This book does not merely introduce models, but also attempts to teach modeling and to produce, within the reader, the predispositions and attitudes of the modeler: a distance from the individual whose behavior is modeled, an engineering approach to the model-building process, a (self)-critical approach to the model testing and elaboration process, and a pedagogical and a therapeutic approach to enacting and communicating models. Author Mihnea C. Moldoveanu makes the process and the phenomenon of modeling transparent and explicit, and clarifies the reasons for which modeling human behavior has to be an interactive process between the modeler and the modeled. This perspective situates Inside Man at the intersection of analytical and computational thinking about rationality, reasoning, choice and thinking, and the tradition of action science and action research.
Human behavior models. --- Thought and thinking. --- Psychology --- Methodology.
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Human behavior models. --- Behavioral modeling --- Behavioral models --- Modeling human behavior --- Models of behavior --- Psychology --- Methodology
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The main goal of this edited collection is to promote the integration of cognitive modeling and cognitive neuroscience. Experts in the field provide tutorial-style chapters that explain particular techniques and highlight their usefulness through concrete examples and numerous case studies. The book also includes a thorough list of references pointing the reader toward additional literature and online resources. The second edition of Introduction to Model-Based Cognitive Neuroscience explores important new advances in the field including joint modeling and applications in areas such as computational psychiatry, neurodegenerative diseases, and social decision-making.
Cognitive neuroscience. --- Human behavior models. --- Neuropsychology. --- Neurosciences. --- Neuroscience. --- Neurociències --- Neuropsicologia --- Neurociència cognitiva
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An examination of our many modes of online identity and how we live on the continuum between the virtual and the real.
Virtual reality --- Reality. --- Avatars (Virtual reality) --- Human behavior models. --- Shared virtual environments. --- Human-computer interaction. --- Philosophy. --- Psychological aspects.
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The Open Mind chronicles the development and promulgation of a scientific vision of the rational, creative, and autonomous self, demonstrating how this self became a defining feature of Cold War culture. Jamie Cohen-Cole illustrates how from 1945 to 1965 policy makers and social critics used the idea of an open-minded human nature to advance centrist politics. They reshaped intellectual culture and instigated nationwide educational reform that promoted more open, and indeed more human, minds. The new field of cognitive science was central to this project, as it used popular support for open-mindedness to overthrow the then-dominant behaviorist view that the mind either could not be studied scientifically or did not exist. Cognitive science also underwrote the political implications of the open mind by treating it as the essential feature of human nature. While the open mind unified America in the first two decades after World War II, between 1965 and 1975 battles over the open mind fractured American culture as the ties between political centrism and the scientific account of human nature began to unravel. During the late 1960s, feminists and the New Left repurposed Cold War era psychological tools to redefine open-mindedness as a characteristic of left-wing politics. As a result, once-liberal intellectuals became neoconservative, and in the early 1970s, struggles against open-mindedness gave energy and purpose to the right wing.
Human behavior models --- Cognitive science --- Social sciences --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization --- Science --- Philosophy of mind --- Behavioral modeling --- Behavioral models --- Modeling human behavior --- Models of behavior --- Psychology --- Political aspects --- History --- Methodology --- cold war, human nature, cognition, self, individual, rationality, reason, creativity, autonomy, centrism, public policy, education, reform, science, behaviorism, psychology, open minded, feminism, new left, politics, american culture, right wing, neoconservative, democracy, interdisciplinary, academia, liberalism, nonfiction, social sciences, sociology.
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Two recent innovations, the emergence of formal cognitive models and the addition of cognitive neuroscience data to the traditional behavioral data, have resulted in the birth of a new, interdisciplinary field of study: model-based cognitive neuroscience. Despite the increasing scientific interest in model-based cognitive neuroscience, few active researchers and even fewer students have a good knowledge of the two constituent disciplines. The main goal of this edited collection is to promote the integration of cognitive modeling and cognitive neuroscience. Experts in the field will provide tutorial-style chapters that explain particular techniques and highlight their usefulness through concrete examples and numerous case studies. The book will also include a thorough list of references pointing the reader towards additional literature and online resources.
Biomedicine. --- Neurosciences. --- Neuropsychology. --- Medicine. --- Psychology, clinical. --- Médecine --- Neurosciences --- Cognitive neuroscience --- Human behavior models --- Mental Processes --- Models, Theoretical --- Psychological Phenomena and Processes --- Psychophysiology --- Biological Science Disciplines --- Investigative Techniques --- Behavior and Behavior Mechanisms --- Psychiatry and Psychology --- Behavioral Sciences --- Analytical, Diagnostic and Therapeutic Techniques and Equipment --- Natural Science Disciplines --- Behavioral Disciplines and Activities --- Disciplines and Occupations --- Methods --- Physiology --- Behavior --- Neuropsychology --- Psychomotor Performance --- Models, Psychological --- Cognition --- Medicine --- Health & Biological Sciences --- Neurology --- Mathematical models --- Cognitive neuroscience. --- Cognitive neuropsychology --- Cognitive science --- Neural sciences --- Neurological sciences --- Neuroscience --- Medical sciences --- Nervous system --- Neurophysiology
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"A much-needed synthesis of active inference, a theory of mind that addresses cognition, behavior, intelligence, & mental disorders and which can be extended to explain behavior in all living systems"--
Neurosciences --- Philosophy of mind --- Active Inference --- free energy --- predictive coding --- Bayesian inference --- predictive processing --- planning as inference --- active sensing --- hypothesis testing --- behavior --- theoretical neurobiology --- brain --- computational neuroscience --- perception --- planning --- action --- control. --- Perception. --- Inference. --- Neurobiology. --- Human behavior models. --- Knowledge, Theory of. --- Bayesian statistical decision theory. --- SCIENCE / Life Sciences / Neuroscience --- PSYCHOLOGY / Cognitive Neuroscience & Cognitive Neuropsychology --- PHILOSOPHY / Mind & Body --- Bayes' solution --- Bayesian analysis --- Statistical decision --- Epistemology --- Theory of knowledge --- Philosophy --- Psychology --- Behavioral modeling --- Behavioral models --- Modeling human behavior --- Models of behavior --- Ampliative induction --- Induction, Ampliative --- Inference (Logic) --- Reasoning --- Supraliminal perception --- Cognition --- Apperception --- Senses and sensation --- Thought and thinking --- Methodology
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The study of all technological systems, in terms of design, safety assessment or training purposes requires that significant attention is dedicated to the human perspective. Techniques for user-centred design are normally applied and exploited before implementing new control devices or safety systems that are managed by a human user or operator. This demands that appropriate models of Human Machine Interaction and associated taxonomies for classifying human behaviour are available for theoretical and practical application. In the automotive environment, the paradigm of the joint human-machine system is called the "Driver-Vehicle-Environment" (DVE) model. Several studies have pointed out the unique nature of this domain, which can refer the standardisation and normalisation of behaviours, contexts and technology. This book presents a general overview of the various factors that contribute to modelling human behaviour in this specialised environment. All of these aspects contribute to creating the overall picture of the DVE model, and demonstrate the scope and dimensions of the many different interaction processes that demand modelling consideration. This long-awaited volume, written by world experts in the field, presents state-of-the-art research and case studies. It will be invaluable reading for professional practitioners graduate students, researchers and alike. Pietro Carlo Cacciabue is a senior scientist at the Institute for the Protection and Security of the Citizen, within the Joint Research Centre of the European Commission, Ispra, Italy. He is the author of two monographs and several book and journal publications relating to safety engineering and human-machine interaction in the domains of energy production and transportation. He is the principal Editor, together with Erik Hollnagel, of The International Journal of Cognition, Technology & Work.
Motorcars engineering --- auto's --- Road traffic --- Computer Science. --- Models and Principles. --- User Interfaces and Human Computer Interaction. --- Information Systems and Communication Service. --- Computer science. --- Information systems. --- Informatique --- Information storage and retrieval systems --- Systèmes d'information --- Driver assistance systems. --- Human behavior -- Mathematical models. --- Motor vehicle driving -- Mathematical models. --- Automobiles --- Motor vehicle driving --- Human behavior --- Driver assistance systems --- Human-machine systems --- Human engineering --- Engineering & Applied Sciences --- Mechanical Engineering --- Automotive Engineering --- Computer Science --- Automatic control --- Mathematical models --- Human engineering. --- Mathematical models. --- Ergonomics --- Human factors in engineering design --- Driving, Motor vehicle --- Motor vehicle operation --- Computers. --- User interfaces (Computer systems). --- Interfaces, User (Computer systems) --- Human-computer interaction --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Machine theory --- Calculators --- Cyberspace --- Informatics --- Science --- Bioengineering --- Environmental engineering --- Industrial engineering --- Human comfort --- Human-robot interaction --- Sociotechnical systems --- Human behavior models --- Electronic equipment
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