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Nonlinear Contingency Analysis is a guide to treating clinically complex behavior problems such as delusions and hallucinations. It’s also a framework for treating behavior problems, one that explores solutions based on the creation of new or alternative consequential contingencies rather than the elimination or deceleration of old or problematic thoughts, feelings, or behaviors. Chapters present strategies, analytical tools, and interventions that clinicians can use in session to think about clients’ problems using decision theory, experimental analysis of behavior, and clinical research and practice. By treating thoughts and emotions not as causes of behavior but as indicators of the environmental conditions that are responsible for them, patients can use that knowledge to make changes that not only result in changes in behavior, but in the thoughts and feelings themselves.
Book Synopsis Nonlinear Contingency Analysis by : T. V. Joe Layng
Download or read book Nonlinear Contingency Analysis written by T. V. Joe Layng and published by Routledge. This book was released on 2021-10-26 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nonlinear Contingency Analysis is a guide to treating clinically complex behavior problems such as delusions and hallucinations. It’s also a framework for treating behavior problems, one that explores solutions based on the creation of new or alternative consequential contingencies rather than the elimination or deceleration of old or problematic thoughts, feelings, or behaviors. Chapters present strategies, analytical tools, and interventions that clinicians can use in session to think about clients’ problems using decision theory, experimental analysis of behavior, and clinical research and practice. By treating thoughts and emotions not as causes of behavior but as indicators of the environmental conditions that are responsible for them, patients can use that knowledge to make changes that not only result in changes in behavior, but in the thoughts and feelings themselves.
"Nonlinear Contingency Analysis is a guide to treating clinically complex behavior problems such as delusions and hallucinations. It's also a framework for treating behavior problems, one that explores solutions based on the creation of new or alternative consequential contingencies rather than the elimination or deceleration of old or problematic thoughts, feelings, or behavior. Chapters present strategies, analytical tools, and interventions that clinicians can use in session to think about clients' problems using decision theory, experimental analysis of behavior, and clinical research and practice. By treating thoughts and emotions not as causes of behavior but as indicators of the environmental conditions that are responsible for them, patients can use that knowledge to make changes that not only result in changes in behavior, but in the thoughts and feelings themselves"--
Book Synopsis Nonlinear Contingency Analysis by : T. V. Joe Layng
Download or read book Nonlinear Contingency Analysis written by T. V. Joe Layng and published by Routledge. This book was released on 2021-10 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Nonlinear Contingency Analysis is a guide to treating clinically complex behavior problems such as delusions and hallucinations. It's also a framework for treating behavior problems, one that explores solutions based on the creation of new or alternative consequential contingencies rather than the elimination or deceleration of old or problematic thoughts, feelings, or behavior. Chapters present strategies, analytical tools, and interventions that clinicians can use in session to think about clients' problems using decision theory, experimental analysis of behavior, and clinical research and practice. By treating thoughts and emotions not as causes of behavior but as indicators of the environmental conditions that are responsible for them, patients can use that knowledge to make changes that not only result in changes in behavior, but in the thoughts and feelings themselves"--
Nonlinear Contingency Analysis is a guide to treating clinically complex behavior problems such as delusions and hallucinations. It's also a framework for treating behavior problems, one that explores solutions based on the creation of new or alternative consequential contingencies rather than the elimination or deceleration of old or problematic thoughts, feelings, or behavior. Chapters present strategies, analytical tools, and interventions that clinicians can use in session to think about clients' problems using decision theory, experimental analysis of behavior, and clinical research and practice. By treating thoughts and emotions not as causes of behavior but as indicators of the environmental conditions that are responsible for them, patients can use that knowledge to make changes that not only result in changes in behavior, but in the thoughts and feelings themselves.
Book Synopsis Nonlinear Contingency Analysis by : T V Joe Layng
Download or read book Nonlinear Contingency Analysis written by T V Joe Layng and published by Routledge. This book was released on 2021-10-17 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nonlinear Contingency Analysis is a guide to treating clinically complex behavior problems such as delusions and hallucinations. It's also a framework for treating behavior problems, one that explores solutions based on the creation of new or alternative consequential contingencies rather than the elimination or deceleration of old or problematic thoughts, feelings, or behavior. Chapters present strategies, analytical tools, and interventions that clinicians can use in session to think about clients' problems using decision theory, experimental analysis of behavior, and clinical research and practice. By treating thoughts and emotions not as causes of behavior but as indicators of the environmental conditions that are responsible for them, patients can use that knowledge to make changes that not only result in changes in behavior, but in the thoughts and feelings themselves.
Quantification of categorical, or non-numerical, data is a problem that scientists face across a wide range of disciplines. Exploring data analysis in various areas of research, such as the social sciences and biology, Multidimensional Nonlinear Descriptive Analysis presents methods for analyzing categorical data that are not necessarily sam
Book Synopsis Multidimensional Nonlinear Descriptive Analysis by : Shizuhiko Nishisato
Download or read book Multidimensional Nonlinear Descriptive Analysis written by Shizuhiko Nishisato and published by CRC Press. This book was released on 2006-06-26 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantification of categorical, or non-numerical, data is a problem that scientists face across a wide range of disciplines. Exploring data analysis in various areas of research, such as the social sciences and biology, Multidimensional Nonlinear Descriptive Analysis presents methods for analyzing categorical data that are not necessarily sam
NONLINEAR FILTERS Discover the utility of using deep learning and (deep) reinforcement learning in deriving filtering algorithms with this insightful and powerful new resource Nonlinear Filters: Theory and Applications delivers an insightful view on state and parameter estimation by merging ideas from control theory, statistical signal processing, and machine learning. Taking an algorithmic approach, the book covers both classic and machine learning-based filtering algorithms. Readers of Nonlinear Filters will greatly benefit from the wide spectrum of presented topics including stability, robustness, computability, and algorithmic sufficiency. Readers will also enjoy: Organization that allows the book to act as a stand-alone, self-contained reference A thorough exploration of the notion of observability, nonlinear observers, and the theory of optimal nonlinear filtering that bridges the gap between different science and engineering disciplines A profound account of Bayesian filters including Kalman filter and its variants as well as particle filter A rigorous derivation of the smooth variable structure filter as a predictor-corrector estimator formulated based on a stability theorem, used to confine the estimated states within a neighborhood of their true values A concise tutorial on deep learning and reinforcement learning A detailed presentation of the expectation maximization algorithm and its machine learning-based variants, used for joint state and parameter estimation Guidelines for constructing nonparametric Bayesian models from parametric ones Perfect for researchers, professors, and graduate students in engineering, computer science, applied mathematics, and artificial intelligence, Nonlinear Filters: Theory and Applications will also earn a place in the libraries of those studying or practicing in fields involving pandemic diseases, cybersecurity, information fusion, augmented reality, autonomous driving, urban traffic network, navigation and tracking, robotics, power systems, hybrid technologies, and finance.
Book Synopsis Nonlinear Filters by : Peyman Setoodeh
Download or read book Nonlinear Filters written by Peyman Setoodeh and published by John Wiley & Sons. This book was released on 2022-04-12 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: NONLINEAR FILTERS Discover the utility of using deep learning and (deep) reinforcement learning in deriving filtering algorithms with this insightful and powerful new resource Nonlinear Filters: Theory and Applications delivers an insightful view on state and parameter estimation by merging ideas from control theory, statistical signal processing, and machine learning. Taking an algorithmic approach, the book covers both classic and machine learning-based filtering algorithms. Readers of Nonlinear Filters will greatly benefit from the wide spectrum of presented topics including stability, robustness, computability, and algorithmic sufficiency. Readers will also enjoy: Organization that allows the book to act as a stand-alone, self-contained reference A thorough exploration of the notion of observability, nonlinear observers, and the theory of optimal nonlinear filtering that bridges the gap between different science and engineering disciplines A profound account of Bayesian filters including Kalman filter and its variants as well as particle filter A rigorous derivation of the smooth variable structure filter as a predictor-corrector estimator formulated based on a stability theorem, used to confine the estimated states within a neighborhood of their true values A concise tutorial on deep learning and reinforcement learning A detailed presentation of the expectation maximization algorithm and its machine learning-based variants, used for joint state and parameter estimation Guidelines for constructing nonparametric Bayesian models from parametric ones Perfect for researchers, professors, and graduate students in engineering, computer science, applied mathematics, and artificial intelligence, Nonlinear Filters: Theory and Applications will also earn a place in the libraries of those studying or practicing in fields involving pandemic diseases, cybersecurity, information fusion, augmented reality, autonomous driving, urban traffic network, navigation and tracking, robotics, power systems, hybrid technologies, and finance.
The nonlinear normal modes of a parametrically excited cantilever beam are constructed by directly applying the method of multiple scales to the governing integral-partial differential equation and associated boundary conditions. The effect of the inertia and curvature nonlin earities and the parametric excitation on the spatial distribution of the deflection is examined. The results are compared with those obtained by using a single-mode discretization. In the absence of linear viscous and quadratic damping, it is shown that there are nonlinear normal modes, as defined by Rosenberg, even in the presence of a principal parametric excitation. Furthermore, the nonlinear mode shape obtained with the direct approach is compared with that obtained with the discretization approach for some values of the excitation frequency. In the single-mode discretization, the spatial distribution of the deflection is assumed a priori to be given by the linear mode shape ¢n, which is parametrically excited, as Equation (41). Thus, the mode shape is not influenced by the nonlinear curvature and nonlinear damping. On the other hand, in the direct approach, the mode shape is not assumed a priori; the nonlinear effects modify the linear mode shape ¢n. Therefore, in the case of large-amplitude oscillations, the single-mode discretization may yield inaccurate mode shapes. References 1. Vakakis, A. F., Manevitch, L. I., Mikhlin, Y. v., Pilipchuk, V. N., and Zevin A. A., Nonnal Modes and Localization in Nonlinear Systems, Wiley, New York, 1996.
Book Synopsis Normal Modes and Localization in Nonlinear Systems by : Alexander F. Vakakis
Download or read book Normal Modes and Localization in Nonlinear Systems written by Alexander F. Vakakis and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: The nonlinear normal modes of a parametrically excited cantilever beam are constructed by directly applying the method of multiple scales to the governing integral-partial differential equation and associated boundary conditions. The effect of the inertia and curvature nonlin earities and the parametric excitation on the spatial distribution of the deflection is examined. The results are compared with those obtained by using a single-mode discretization. In the absence of linear viscous and quadratic damping, it is shown that there are nonlinear normal modes, as defined by Rosenberg, even in the presence of a principal parametric excitation. Furthermore, the nonlinear mode shape obtained with the direct approach is compared with that obtained with the discretization approach for some values of the excitation frequency. In the single-mode discretization, the spatial distribution of the deflection is assumed a priori to be given by the linear mode shape ¢n, which is parametrically excited, as Equation (41). Thus, the mode shape is not influenced by the nonlinear curvature and nonlinear damping. On the other hand, in the direct approach, the mode shape is not assumed a priori; the nonlinear effects modify the linear mode shape ¢n. Therefore, in the case of large-amplitude oscillations, the single-mode discretization may yield inaccurate mode shapes. References 1. Vakakis, A. F., Manevitch, L. I., Mikhlin, Y. v., Pilipchuk, V. N., and Zevin A. A., Nonnal Modes and Localization in Nonlinear Systems, Wiley, New York, 1996.
Clinical behavior analysis uses verbally based interventions to treat a range of psychological problems in an outpatient context. This volume offers a collection of current research in this rapidly expanding field, with a special focus on acceptance issues in therapy and the importance of the therapeutic relationship.
Book Synopsis Clinical Behavior Analysis by : Michael Dougher
Download or read book Clinical Behavior Analysis written by Michael Dougher and published by . This book was released on 2000-04 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Clinical behavior analysis uses verbally based interventions to treat a range of psychological problems in an outpatient context. This volume offers a collection of current research in this rapidly expanding field, with a special focus on acceptance issues in therapy and the importance of the therapeutic relationship.
A Programing Contingency Analysis of Mental Health presents Dr. Israel Goldiamond’s reflections on various ways we formulate behavioral and emotional problems, most often in traditional terms of mental health disorders, mental diseases or illnesses, psychopathological disorders, and so on – what he calls a pathological orientation. Here, Goldiamond argues for a groundbreaking alternative view from the vantage point of radical behaviorism. The book begins by discussing contingency relations between behavior and its past and present consequences, along with other environmental events. It reminds us that this approach sits comfortably alongside other consequential systems in the social and biological sciences, particularly decision theory and evolution. This behaviorist system regards most important human behaviors as being emitted rather than stimulus-elicited. Described are some of the diverse origins of behavior, including the effects of environmental consequences and the programing procedures of social and cultural inheritance. The exposition includes decision matrices which rationalize some of the programed patterns and the accompanying thoughts and emotions commonly found in mental illness. As a result of this nonlinear contingency analysis, such patterns may be considered adaptive rather than maladaptive. The book describes programs based on those matrices and outlines how they might be applied to mitigate any problems or costs associated with those patterns. The book concludes by moving from individual analysis to social analysis, with particular reference to some societal contingencies that may maintain the pathological orientation and others that might shift our gaze in the direction proposed here. Alongside Dr. Goldiamond’s original work, this volume features a new introduction from Dr. Paul Thomas Andronis and Dr. T. V. Joe Layng, as well as an article tracing the history of the non-linear thinking of Dr. Goldiamond, first published in The Behavior Analyst. It will be a must-read for anyone working in the analysis of and clinical intervention in problems associated with mental health, or those more generally interested in the work of Israel Goldiamond.
Book Synopsis A Programing Contingency Analysis of Mental Health by : Israel Goldiamond
Download or read book A Programing Contingency Analysis of Mental Health written by Israel Goldiamond and published by Routledge. This book was released on 2022-04-11 with total page 126 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Programing Contingency Analysis of Mental Health presents Dr. Israel Goldiamond’s reflections on various ways we formulate behavioral and emotional problems, most often in traditional terms of mental health disorders, mental diseases or illnesses, psychopathological disorders, and so on – what he calls a pathological orientation. Here, Goldiamond argues for a groundbreaking alternative view from the vantage point of radical behaviorism. The book begins by discussing contingency relations between behavior and its past and present consequences, along with other environmental events. It reminds us that this approach sits comfortably alongside other consequential systems in the social and biological sciences, particularly decision theory and evolution. This behaviorist system regards most important human behaviors as being emitted rather than stimulus-elicited. Described are some of the diverse origins of behavior, including the effects of environmental consequences and the programing procedures of social and cultural inheritance. The exposition includes decision matrices which rationalize some of the programed patterns and the accompanying thoughts and emotions commonly found in mental illness. As a result of this nonlinear contingency analysis, such patterns may be considered adaptive rather than maladaptive. The book describes programs based on those matrices and outlines how they might be applied to mitigate any problems or costs associated with those patterns. The book concludes by moving from individual analysis to social analysis, with particular reference to some societal contingencies that may maintain the pathological orientation and others that might shift our gaze in the direction proposed here. Alongside Dr. Goldiamond’s original work, this volume features a new introduction from Dr. Paul Thomas Andronis and Dr. T. V. Joe Layng, as well as an article tracing the history of the non-linear thinking of Dr. Goldiamond, first published in The Behavior Analyst. It will be a must-read for anyone working in the analysis of and clinical intervention in problems associated with mental health, or those more generally interested in the work of Israel Goldiamond.
Book Synopsis Nonlinear Contingency Analysis Methodologies for Determining Transfer Capability of Large-scale Power Systems with Voltage Collapse Constraints by : Renuka Gonella Chatterjee
Download or read book Nonlinear Contingency Analysis Methodologies for Determining Transfer Capability of Large-scale Power Systems with Voltage Collapse Constraints written by Renuka Gonella Chatterjee and published by . This book was released on 2000 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Since mathematical models express our understanding of how nature behaves, we use them to validate our understanding of the fundamentals about systems (which could be processes, equipment, procedures, devices, or products). Also, when validated, the model is useful for engineering applications related to diagnosis, design, and optimization. First, we postulate a mechanism, then derive a model grounded in that mechanistic understanding. If the model does not fit the data, our understanding of the mechanism was wrong or incomplete. Patterns in the residuals can guide model improvement. Alternately, when the model fits the data, our understanding is sufficient and confidently functional for engineering applications. This book details methods of nonlinear regression, computational algorithms,model validation, interpretation of residuals, and useful experimental design. The focus is on practical applications, with relevant methods supported by fundamental analysis. This book will assist either the academic or industrial practitioner to properly classify the system, choose between the various available modeling options and regression objectives, design experiments to obtain data capturing critical system behaviors, fit the model parameters based on that data, and statistically characterize the resulting model. The author has used the material in the undergraduate unit operations lab course and in advanced control applications.
Book Synopsis Nonlinear Regression Modeling for Engineering Applications by : R. Russell Rhinehart
Download or read book Nonlinear Regression Modeling for Engineering Applications written by R. Russell Rhinehart and published by John Wiley & Sons. This book was released on 2016-09-26 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since mathematical models express our understanding of how nature behaves, we use them to validate our understanding of the fundamentals about systems (which could be processes, equipment, procedures, devices, or products). Also, when validated, the model is useful for engineering applications related to diagnosis, design, and optimization. First, we postulate a mechanism, then derive a model grounded in that mechanistic understanding. If the model does not fit the data, our understanding of the mechanism was wrong or incomplete. Patterns in the residuals can guide model improvement. Alternately, when the model fits the data, our understanding is sufficient and confidently functional for engineering applications. This book details methods of nonlinear regression, computational algorithms,model validation, interpretation of residuals, and useful experimental design. The focus is on practical applications, with relevant methods supported by fundamental analysis. This book will assist either the academic or industrial practitioner to properly classify the system, choose between the various available modeling options and regression objectives, design experiments to obtain data capturing critical system behaviors, fit the model parameters based on that data, and statistically characterize the resulting model. The author has used the material in the undergraduate unit operations lab course and in advanced control applications.
