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In Honor of Professor Dr.Dr. h.c. Heinz Heinzhausen's 60th Birthday
Book Synopsis Motivation, Intention, and Volition by : Frank Halisch
Download or read book Motivation, Intention, and Volition written by Frank Halisch and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: In Honor of Professor Dr.Dr. h.c. Heinz Heinzhausen's 60th Birthday
"It is not thought as such that can move anything, but thought which is for the sake of something and is practical." This discerning insight, which dates back more than 2000years to Aristotle, seems to have been ignored by most psycholo gists. For more than 40years theories of human action have assumed that cogni tion and action are merely two sides of the same coin. Approaches as different as S-O-R behaviorism,social learning theory, consistency theories,and expectancy value theories of motivation and decision making have one thing in common: they all assume that "thought (or any other type of cognition) can move any thing," that there is a direct path from cognition to behavior. In recent years, we have become more and more aware of the complexities in volved in the relationship between cognition and behavior. People do not always do what they intend to do. Aside from several nonpsychological factors capable of reducing cognition-behavior consistency, there seems to be a set of complex psychological mechanisms which intervene between action-related cognitions, such as beliefs, expectancies, values, and intentions,and the enactment of the be havior suggested by those cognitions. In our recent research we have focused on volitional mechanismus which presumably enhance cognition-behavior consistency by supporting the main tenance of activated intentions and prevent them from being pushed aside by competing action tendencies.
Book Synopsis Action Control by : Julius Kuhl
Download or read book Action Control written by Julius Kuhl and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: "It is not thought as such that can move anything, but thought which is for the sake of something and is practical." This discerning insight, which dates back more than 2000years to Aristotle, seems to have been ignored by most psycholo gists. For more than 40years theories of human action have assumed that cogni tion and action are merely two sides of the same coin. Approaches as different as S-O-R behaviorism,social learning theory, consistency theories,and expectancy value theories of motivation and decision making have one thing in common: they all assume that "thought (or any other type of cognition) can move any thing," that there is a direct path from cognition to behavior. In recent years, we have become more and more aware of the complexities in volved in the relationship between cognition and behavior. People do not always do what they intend to do. Aside from several nonpsychological factors capable of reducing cognition-behavior consistency, there seems to be a set of complex psychological mechanisms which intervene between action-related cognitions, such as beliefs, expectancies, values, and intentions,and the enactment of the be havior suggested by those cognitions. In our recent research we have focused on volitional mechanismus which presumably enhance cognition-behavior consistency by supporting the main tenance of activated intentions and prevent them from being pushed aside by competing action tendencies.
This textbook provides a comprehensive introduction into the areas of human action planning and action control. It discusses the basic theoretical issues and questions in understanding the planning and control of human goal-directed action. The authors begin by presenting an integrative theoretical framework and the neurobiological foundations of action planning and execution. Subsequent chapters discuss how goals are represented and how they guide action control; how perception and action interact; how simple and complex actions are selected and planned; how multitasking works; and how actions are monitored. Topics of interest include: stimulus-triggered selections, rule-based selections, intentional action selections, and intuitive decision-making. Human Action Control is a must-have resource for advanced undergraduates, graduates, and doctorate students in cognitive psychology and related areas, such as the cognitive neurosciences, and developmental and social psychology.
Book Synopsis Human Action Control by : Bernhard Hommel
Download or read book Human Action Control written by Bernhard Hommel and published by Springer. This book was released on 2016-04-02 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook provides a comprehensive introduction into the areas of human action planning and action control. It discusses the basic theoretical issues and questions in understanding the planning and control of human goal-directed action. The authors begin by presenting an integrative theoretical framework and the neurobiological foundations of action planning and execution. Subsequent chapters discuss how goals are represented and how they guide action control; how perception and action interact; how simple and complex actions are selected and planned; how multitasking works; and how actions are monitored. Topics of interest include: stimulus-triggered selections, rule-based selections, intentional action selections, and intuitive decision-making. Human Action Control is a must-have resource for advanced undergraduates, graduates, and doctorate students in cognitive psychology and related areas, such as the cognitive neurosciences, and developmental and social psychology.
The basic nuts and bolts underlying human behavior remain mysterious from a scientific point of view. Everyday acts — naming an object, suppressing the urge to say something, or grabbing a waiter’s attention with a “cappuccino, please” — remain difficult to understand from a mechanistic standpoint. Despite these challenges, research has begun to illuminate, not only the basic processes underlying human action production, but the role of conscious processing in the control of behavior. This Research Topic, “Consciousness and the Control of Action,” is devoted to surveying and synthesizing these developments from disparate fields of study.
Book Synopsis Consciousness and Action Control by : T. Andrew Poehlman
Download or read book Consciousness and Action Control written by T. Andrew Poehlman and published by Frontiers E-books. This book was released on 2014-11-03 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt: The basic nuts and bolts underlying human behavior remain mysterious from a scientific point of view. Everyday acts — naming an object, suppressing the urge to say something, or grabbing a waiter’s attention with a “cappuccino, please” — remain difficult to understand from a mechanistic standpoint. Despite these challenges, research has begun to illuminate, not only the basic processes underlying human action production, but the role of conscious processing in the control of behavior. This Research Topic, “Consciousness and the Control of Action,” is devoted to surveying and synthesizing these developments from disparate fields of study.
The integration of multisensory information is an essential mechanism in perception and in controlling actions. Research in multisensory integration is concerned with how the information from the different sensory modalities, such as the senses of vision, hearing, smell, taste, touch, and proprioception, are integrated to a coherent representation of objects. Multisensory integration is central for action control. For instance, when you grasp for a rubber duck, you can see its size and hear the sound it produces. Moreover, identical physical properties of an object can be provided by different senses. You can both see and feel the size of the rubber duck. Even when you grasp for the rubber duck with a tool (e.g. with tongs), the information from the hand, from the effect points of the tool and from the eyes are integrated in a manner to act successfully. Over the recent decade a surge of interest in multisensory integration and action control has been witnessed, especially in connection with the idea that multiple sensory sources are integrated in an optimized way. For this perspective to mature, it will be helpful to delve deeper into the information processing mechanisms and their neural correlates, asking about the range and constraints of this mechanisms, about its localization and involved networks.
Book Synopsis Multisensory Integration in Action Control by : Jochen Musseler
Download or read book Multisensory Integration in Action Control written by Jochen Musseler and published by Frontiers E-books. This book was released on 2014-11-03 with total page 143 pages. Available in PDF, EPUB and Kindle. Book excerpt: The integration of multisensory information is an essential mechanism in perception and in controlling actions. Research in multisensory integration is concerned with how the information from the different sensory modalities, such as the senses of vision, hearing, smell, taste, touch, and proprioception, are integrated to a coherent representation of objects. Multisensory integration is central for action control. For instance, when you grasp for a rubber duck, you can see its size and hear the sound it produces. Moreover, identical physical properties of an object can be provided by different senses. You can both see and feel the size of the rubber duck. Even when you grasp for the rubber duck with a tool (e.g. with tongs), the information from the hand, from the effect points of the tool and from the eyes are integrated in a manner to act successfully. Over the recent decade a surge of interest in multisensory integration and action control has been witnessed, especially in connection with the idea that multiple sensory sources are integrated in an optimized way. For this perspective to mature, it will be helpful to delve deeper into the information processing mechanisms and their neural correlates, asking about the range and constraints of this mechanisms, about its localization and involved networks.
A major hallmark in the adaptive control of voluntary action is the ability to anticipate short and long term future events. Anticipation in its various forms is an important prerequisite for (higher order) cognitive abilities such as planning, reasoning and the pursuit of both immediate goals and long-term goals that may even stand in opposition to immediate desires and needs (e.g., to invest in pension funds). Therefore, it is not surprising that diverse and rather independent research lines have evolved, all somehow targeting various anticipatory capacities that are involved in the control of voluntary action and thus, contribute to the uniqueness of human goal-directed behavior. For example, prediction of the incentive value of action outcomes drives goal-directed instrumental behavior (e.g., Dickinson & Balleine, 2000; Rushworth & Behrens, 2008). Similarly, the Ideo-Motor Principle assumes that actions are selected and activated by the mere anticipation of the sensory experience they produce (e.g., James, 1890; Prinz, 1990). Furthermore, the degree of match between intended, anticipated and actual action effects has been proposed to be a major determinant of motor programming and online action corrections (Jeannerod, 1981), motor learning (e.g., Wolpert, Diedrichsen, & Flanagan, 2011), and the subjective sense of causing and controlling an action and its effects (Sense of Agency; e.g., Abell, Happé, & Frith, 2000). The role of anticipation in the control of voluntary action, however, goes far beyond the anticipation of immediate action effects and desired goals. For instance, pre-cues and alerting signals are used for advance preparation of what to do (e.g., Meiran, 1996), when to act or expect an event onset (e.g., Callejas, Lupianez, & Tudela, 2004; Los & van der Heuvel, 2001; Nobre & Coull, 2010) and to anticipate conflict (e.g., Correa, Rao, & Nobre, 2009). Voluntary action is influenced by the anticipation and prediction of mental effort in task processing (e.g., Song & Schwarz, 2008). In addition, the anticipation of long-term future social consequences (e.g., expected aloneness) has been shown to affect cognitive mechanisms involved in logic and reasoning (e.g., Baumeister, Twenge, & Nuss, 2002). Last but not least, learning of statistical contingencies (e.g., conflict frequency) leads to the anticipation and prediction of context-specific executive control requirements (e.g., Crump, Gong, & Milliken, 2006, Dreisbach & Haider, 2006). The aim of the present Research Topic is to provide a platform that offers the possibility of cross-fertilization and enhanced visibility among to date rather segregated research lines.
Book Synopsis Anticipation and the control of voluntary action by : Dorit Wenke
Download or read book Anticipation and the control of voluntary action written by Dorit Wenke and published by Frontiers E-books. This book was released on with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: A major hallmark in the adaptive control of voluntary action is the ability to anticipate short and long term future events. Anticipation in its various forms is an important prerequisite for (higher order) cognitive abilities such as planning, reasoning and the pursuit of both immediate goals and long-term goals that may even stand in opposition to immediate desires and needs (e.g., to invest in pension funds). Therefore, it is not surprising that diverse and rather independent research lines have evolved, all somehow targeting various anticipatory capacities that are involved in the control of voluntary action and thus, contribute to the uniqueness of human goal-directed behavior. For example, prediction of the incentive value of action outcomes drives goal-directed instrumental behavior (e.g., Dickinson & Balleine, 2000; Rushworth & Behrens, 2008). Similarly, the Ideo-Motor Principle assumes that actions are selected and activated by the mere anticipation of the sensory experience they produce (e.g., James, 1890; Prinz, 1990). Furthermore, the degree of match between intended, anticipated and actual action effects has been proposed to be a major determinant of motor programming and online action corrections (Jeannerod, 1981), motor learning (e.g., Wolpert, Diedrichsen, & Flanagan, 2011), and the subjective sense of causing and controlling an action and its effects (Sense of Agency; e.g., Abell, Happé, & Frith, 2000). The role of anticipation in the control of voluntary action, however, goes far beyond the anticipation of immediate action effects and desired goals. For instance, pre-cues and alerting signals are used for advance preparation of what to do (e.g., Meiran, 1996), when to act or expect an event onset (e.g., Callejas, Lupianez, & Tudela, 2004; Los & van der Heuvel, 2001; Nobre & Coull, 2010) and to anticipate conflict (e.g., Correa, Rao, & Nobre, 2009). Voluntary action is influenced by the anticipation and prediction of mental effort in task processing (e.g., Song & Schwarz, 2008). In addition, the anticipation of long-term future social consequences (e.g., expected aloneness) has been shown to affect cognitive mechanisms involved in logic and reasoning (e.g., Baumeister, Twenge, & Nuss, 2002). Last but not least, learning of statistical contingencies (e.g., conflict frequency) leads to the anticipation and prediction of context-specific executive control requirements (e.g., Crump, Gong, & Milliken, 2006, Dreisbach & Haider, 2006). The aim of the present Research Topic is to provide a platform that offers the possibility of cross-fertilization and enhanced visibility among to date rather segregated research lines.
Control Systems Theory, a newly developing theoretical perspective, starts from an important insight into human behaviour: that people attempt to control the world around them as they perceive it. This book brings together for the first time the work of prominent sociologists contributing to the development of this wideranging theoretical paradigm.
Book Synopsis Purpose, Meaning, and Action by : K. McClelland
Download or read book Purpose, Meaning, and Action written by K. McClelland and published by Springer. This book was released on 2016-09-23 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Control Systems Theory, a newly developing theoretical perspective, starts from an important insight into human behaviour: that people attempt to control the world around them as they perceive it. This book brings together for the first time the work of prominent sociologists contributing to the development of this wideranging theoretical paradigm.
Empirical data on neural control of motor action and perception have not yet been put into the context of a coherent theory. Dr. Feldman's goal for the proposed book is to illustrate that the field is now at a stage where the data can be used to formulate some core principles that underlie action and perception and to present the foundation of a scientific theory of motor control. Dr. Feldman is a well-known expert and has been active in the field for a long time. In the proposed book he will outline an approach to the analysis of action and perception that he and his colleagues have been using for the past 50 years or so. His theoretical approach will not only help to explain past empirical research, but should also help to inform and provide a structure for future empirical studies.
Book Synopsis Referent control of action and perception by : Anatol G. Feldman
Download or read book Referent control of action and perception written by Anatol G. Feldman and published by Springer. This book was released on 2016-10-09 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Empirical data on neural control of motor action and perception have not yet been put into the context of a coherent theory. Dr. Feldman's goal for the proposed book is to illustrate that the field is now at a stage where the data can be used to formulate some core principles that underlie action and perception and to present the foundation of a scientific theory of motor control. Dr. Feldman is a well-known expert and has been active in the field for a long time. In the proposed book he will outline an approach to the analysis of action and perception that he and his colleagues have been using for the past 50 years or so. His theoretical approach will not only help to explain past empirical research, but should also help to inform and provide a structure for future empirical studies.
Mastering a rich repertoire of motor behaviors, as humans and other animals do, is a surprising and still poorly understood outcome of evolution, development, and learning. Many degrees-of-freedom, non-linear dynamics, and sensory delays provide formidable challenges for controlling even simple actions. Modularity as a functional element, both structural and computational, of a control architecture might be the key organizational principle that the central nervous system employs for achieving versatility and adaptability in motor control. Recent investigations of muscle synergies, motor primitives, compositionality, basic action concepts, and related work in machine learning have contributed to advance, at different levels, our understanding of the modular architecture underlying rich motor behaviors. However, the existence and nature of the modules in the control architecture is far from settled. For instance, regularity and low-dimensionality in the motor output are often taken as an indication of modularity but could they simply be a byproduct of optimization and task constraints? Moreover, what are the relationships between modules at different levels, such as muscle synergies, kinematic invariants, and basic action concepts? One important reason for the new interest in understanding modularity in motor control from different viewpoints is the impressive development in cognitive robotics. In comparison to animals and humans, the motor skills of today’s best robots are limited and inflexible. However, robot technology is maturing to the point at which it can start approximating a reasonable spectrum of isolated perceptual, cognitive, and motor capabilities. These advances allow researchers to explore how these motor, sensory and cognitive functions might be integrated into meaningful architectures and to test their functional limits. Such systems provide a new test bed to explore different concepts of modularity and to address the interaction between motor and cognitive processes experimentally. Thus, the goal of this Research Topic is to review, compare, and debate theoretical and experimental investigations of the modular organization of the motor control system at different levels. By bringing together researchers seeking to understand the building blocks for coordinating many muscles, for planning endpoint and joint trajectories, and for representing motor and behavioral actions in memory we aim at promoting new interactions between often disconnected research areas and approaches and at providing a broad perspective on the idea of modularity in motor control. We welcome original research, methodological, theoretical, review, and perspective contributions from behavioral, system, and computational motor neuroscience research, cognitive psychology, and cognitive robotics.
Book Synopsis Modularity in Motor Control: From Muscle Synergies to Cognitive Action Representation by : Andrea d'Avella
Download or read book Modularity in Motor Control: From Muscle Synergies to Cognitive Action Representation written by Andrea d'Avella and published by Frontiers Media SA. This book was released on 2016-04-21 with total page 794 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mastering a rich repertoire of motor behaviors, as humans and other animals do, is a surprising and still poorly understood outcome of evolution, development, and learning. Many degrees-of-freedom, non-linear dynamics, and sensory delays provide formidable challenges for controlling even simple actions. Modularity as a functional element, both structural and computational, of a control architecture might be the key organizational principle that the central nervous system employs for achieving versatility and adaptability in motor control. Recent investigations of muscle synergies, motor primitives, compositionality, basic action concepts, and related work in machine learning have contributed to advance, at different levels, our understanding of the modular architecture underlying rich motor behaviors. However, the existence and nature of the modules in the control architecture is far from settled. For instance, regularity and low-dimensionality in the motor output are often taken as an indication of modularity but could they simply be a byproduct of optimization and task constraints? Moreover, what are the relationships between modules at different levels, such as muscle synergies, kinematic invariants, and basic action concepts? One important reason for the new interest in understanding modularity in motor control from different viewpoints is the impressive development in cognitive robotics. In comparison to animals and humans, the motor skills of today’s best robots are limited and inflexible. However, robot technology is maturing to the point at which it can start approximating a reasonable spectrum of isolated perceptual, cognitive, and motor capabilities. These advances allow researchers to explore how these motor, sensory and cognitive functions might be integrated into meaningful architectures and to test their functional limits. Such systems provide a new test bed to explore different concepts of modularity and to address the interaction between motor and cognitive processes experimentally. Thus, the goal of this Research Topic is to review, compare, and debate theoretical and experimental investigations of the modular organization of the motor control system at different levels. By bringing together researchers seeking to understand the building blocks for coordinating many muscles, for planning endpoint and joint trajectories, and for representing motor and behavioral actions in memory we aim at promoting new interactions between often disconnected research areas and approaches and at providing a broad perspective on the idea of modularity in motor control. We welcome original research, methodological, theoretical, review, and perspective contributions from behavioral, system, and computational motor neuroscience research, cognitive psychology, and cognitive robotics.
The mathematical theory of control became a ?eld of study half a century ago in attempts to clarify and organize some challenging practical problems and the methods used to solve them. It is known for the breadth of the mathematics it uses and its cross-disciplinary vigor. Its literature, which can befoundinSection93ofMathematicalReviews,wasatonetimedominatedby the theory of linear control systems, which mathematically are described by linear di?erential equations forced by additive control inputs. That theory led to well-regarded numerical and symbolic computational packages for control analysis and design. Nonlinear control problems are also important; in these either the - derlying dynamical system is nonlinear or the controls are applied in a n- additiveway.Thelastfourdecadeshaveseenthedevelopmentoftheoretical work on nonlinear control problems based on di?erential manifold theory, nonlinear analysis, and several other mathematical disciplines. Many of the problems that had been solved in linear control theory, plus others that are new and distinctly nonlinear, have been addressed; some resulting general de?nitions and theorems are adapted in this book to the bilinear case.
Book Synopsis Bilinear Control Systems by : David Elliott
Download or read book Bilinear Control Systems written by David Elliott and published by Springer Science & Business Media. This book was released on 2009-09-01 with total page 283 pages. Available in PDF, EPUB and Kindle. Book excerpt: The mathematical theory of control became a ?eld of study half a century ago in attempts to clarify and organize some challenging practical problems and the methods used to solve them. It is known for the breadth of the mathematics it uses and its cross-disciplinary vigor. Its literature, which can befoundinSection93ofMathematicalReviews,wasatonetimedominatedby the theory of linear control systems, which mathematically are described by linear di?erential equations forced by additive control inputs. That theory led to well-regarded numerical and symbolic computational packages for control analysis and design. Nonlinear control problems are also important; in these either the - derlying dynamical system is nonlinear or the controls are applied in a n- additiveway.Thelastfourdecadeshaveseenthedevelopmentoftheoretical work on nonlinear control problems based on di?erential manifold theory, nonlinear analysis, and several other mathematical disciplines. Many of the problems that had been solved in linear control theory, plus others that are new and distinctly nonlinear, have been addressed; some resulting general de?nitions and theorems are adapted in this book to the bilinear case.
