The n-player prisoner's dilemma (Pd) is a useful model of multilevel selection for altruistic traits. It highlights the non zero-sum interactions necessary for the evolution of altruism as well as the tension betw...
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The n-player prisoner's dilemma (Pd) is a useful model of multilevel selection for altruistic traits. It highlights the non zero-sum interactions necessary for the evolution of altruism as well as the tension between individual and group-level selection. The parameters of the n-player Pd can be directly related to the Price equation as well as to a useful alternative selection decomposition. Finally, the n-player Pd emphasizes the expected equilibrium condition of mutual defection in the absence of higher levels of organization and selection.
In this paper we demonstrate the use of Approximate dynamic programming for the design of a pitch control system for an unstable aircraft using a "hierarchical" tuning approach. The aircraft model is based o...
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In this paper we demonstrate the use of Approximate dynamic programming for the design of a pitch control system for an unstable aircraft using a "hierarchical" tuning approach. The aircraft model is based on an experimental "wave rider" design. We consider the full nonlinear longitudinal model anddesign a pitch controller for low speed, low altitude flight. Given the unstable, nonlinear nature of our plant, key elements of our implementation are the manner in which we provide "learning experience" for our controller, and the way we target different controller parameters at different points in the tuning process.
Overview material for the Special Session (Tuning Fuzzy Controllers Using Adaptive Critic Based Approximate dynamic programming) is provided. The dual Heuristic programming (dHP) method of Approximate dynamic programm...
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Overview material for the Special Session (Tuning Fuzzy Controllers Using Adaptive Critic Based Approximate dynamic programming) is provided. The dual Heuristic programming (dHP) method of Approximate dynamic programming is described and used to the design a fuzzy control system. dHP and related techniques have been developed in the neurocontrol context but can be equally productive when used with fuzzy controllers or neuro-fuzzy hybrids. This technique is demonstrated by designing a temperature controller for a simple water bath system. In this example, we take advantage of the TSK model framework to initialize the tunable parameters of our plant model with reasonable problem specific values.
The author describes how his two decades of experience in corporate planning and three in professional journal editing suggest a correlation of technological innovation clusters, corporate planning and technological f...
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The author describes how his two decades of experience in corporate planning and three in professional journal editing suggest a correlation of technological innovation clusters, corporate planning and technological forecasting with the well-known 50 to 60 year-long wave cycles, i.e., the knowledge consolidation associated with the upswing phase and the creative destruction/knowledge innovation corresponding to the downswing phase of the 4/sup th/ long wave.
The n-player prisoner's dilemma (Pd) is a useful model of multilevel selection for altruistic traits. It highlights the nonzero-sum interactions necessary for the evolution of altruism as well as the tension betwe...
详细信息
The n-player prisoner's dilemma (Pd) is a useful model of multilevel selection for altruistic traits. It highlights the nonzero-sum interactions necessary for the evolution of altruism as well as the tension between individual and group-level selection. The parameters of the n-player Pd can be directly related to the equation due to Price (1970) as well as to a useful alternative selection decomposition. Finally, the n-player Pd emphasizes the expected equilibrium condition of mutual defection in the absence of higher levels of organization and selection.
This paper is a reflection on the author's efforts for the past three years to use Web-based technology to improve a sequence of computer modeling and simulation courses by replacing lectures with self-paced readi...
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This paper is a reflection on the author's efforts for the past three years to use Web-based technology to improve a sequence of computer modeling and simulation courses by replacing lectures with self-paced reading materials and labs conducted in computer-equipped classrooms. Students work at their own pace on "labs" that are designed to reinforce key concepts in the readings. Learning is assessed via projects, examinations, and exercises that are written up and submitted by the students. Self-tests are also available to the students. The motivation behind these changes was primarily to improve course quality using active learning principles, and also to improve the efficiency of delivery.
Overview material for the special session (tuning fuzzy controllers using adaptive critic based approximate dynamic programming) is provided. The dual heuristic programming (dHP) method of approximate dynamic programm...
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Overview material for the special session (tuning fuzzy controllers using adaptive critic based approximate dynamic programming) is provided. The dual heuristic programming (dHP) method of approximate dynamic programming is described and used to design a fuzzy control system. dHP and related techniques have been developed in the neurocontrol context but can be equally productive when used with fuzzy controllers or neuro-fuzzy hybrids. This technique is demonstrated by designing a temperature controller for a simple water bath system. In this example, we take advantage of the TSK model framework to initialize the tunable parameters of our plant model with reasonable problem specific values.
作者：
Ming T. TsuangStephen V. ParaoneGuest EditorDr. Tsuang is the Stanley Cobb Professor of Psychiatry
Director Harvard Institute of Psychiatric Epidemiology and Genetics and Superintendent and Head Harvard Department of Psychiatry at Massachusetts Mental Health Center. He received an M.D. degree at the College of Medicine National Taiwan University and his Ph.D. at the Institute of Psychiatry Faculty of Medicine University of London. Dr. Tsuang also received a Doctor of Science (D.Sc.) in Psychiatric Epidemiology and Genetics Faculty of Science University of London. Professor Tsuang has worked throughout his career as a clinician teacher researcher and administrator in a variety of private state federal and international mental health care settings. He has been recognized both nationally and internationally for his research in schizophrenia and other major psychiatric disorders including manic-depressive illness and substance abuse. One of his areas of interest is in the rapidly developing field of research related to the interactions between genetic and environmental risk factors for severe mental disorders. Professor Tsuang is the recipient of a myriad of awards for his work among them the First Prize in Clinical Research Award from the American Academy of Clinical Psychiatrists
the Rema Lapouse Award for Mental Health Epidemiology from the American Public Health Association and the Stanley Dean Award for Basic Research in Schizophrenia from the American College of Psychiatrists. He is also a Member of the Institute of Medicine National Academy of Sciences and Member Academia Sinica of Taiwan. Recently Professor Tsuang received the Lifetime Achievement Award from the International Society of Psychiatric Genetics and the Taiwanese-American Award for Achievement in Science and Engineering. He has authored or co-authored nearly 400 publications including publications in peer reviewed journals in book chapters and also in books in the areas of psychiatric epidemiology psychiatric genetics nosology of major psychoses ne
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