Reinforcement Learning

Brains rule the world, and brain-like computation is increasingly used in computers and electronic devices. Brain-like computation is about processing and interpreting data or directly putting forward and performing actions. Learning is a very important aspect. This book is on reinforcement learning which involves performing actions to achieve a goal. The first 11 chapters of this book describe and extend the scope of reinforcement learning. The remaining 11 chapters show that there is already wide usage in numerous fields. Reinforcement learning can tackle control tasks that are too complex for traditional, hand-designed, non-learning controllers. As learning computers can deal with technical complexities, the tasks of human operators remain to specify goals on increasingly higher levels. This book shows that reinforcement learning is a very dynamic area in terms of theory and applications and it shall stimulate and encourage new research in this field

Evolving Artificial Neural Networks using Cartesian Genetic Programming

NeuroEvolution is the application of Evolutionary Algorithms to the training of Artificial Neural Networks. NeuroEvolution is thought to possess many benefits over traditional training methods including: the ability to train recurrent network structures, the capability to adapt network topology, being able to create heterogeneous networks of arbitrary transfer functions, and allowing application to reinforcement as well as supervised learning tasks. This thesis presents a series of rigorous empirical investigations into many of these perceived advantages of NeuroEvolution. In this work it is demonstrated that the ability to simultaneously adapt network topology along with connection weights represents a significant advantage of many NeuroEvolutionary methods. It is also demonstrated that the ability to create heterogeneous networks comprising a range of transfer functions represents a further significant advantage. This thesis also investigates many potential benefits and drawbacks of NeuroEvolution which have been largely overlooked in the literature. This includes the presence and role of genetic redundancy in NeuroEvolution's search and whether program bloat is a limitation. The investigations presented focus on the use of a recently developed NeuroEvolution method based on Cartesian Genetic Programming. This thesis extends Cartesian Genetic Programming such that it can represent recurrent program structures allowing for the creation of recurrent Artificial Neural Networks. Using this newly developed extension, Recurrent Cartesian Genetic Programming, and its application to Artificial Neural Networks, are demonstrated to be extremely competitive in the domain of series forecasting

Yale Medicine : Alumni Bulletin of the School of Medicine, Spring 2011- Spring 2013

This volume contains Yale Medicine: alumni bulletin of the School of Medicine, v.45 through v.47 (Spring 2011-Spring 2013). Prepared in cooperation with the alumni and development offices at the School of Medicine. Earlier volumes are called Yale School of Medicine alumni bulletins, dating from v.1 (1953) through v.13 (1965). Digitized with funding from the Arcadia fund, 2017.https://elischolar.library.yale.edu/yale_med_alumni_newsletters/1025/thumbnail.jp

Advancing the Human Self

Do technologies advance our self-identities, as they do our bodies, cognitive skills, and the next developmental stage called postpersonal? Did we already manage to be fully human, before becoming posthuman? Are we doomed to disintegration and episodic selfhood? This book examines the impact of radical technopoiesis on our selves from a multidisciplinary perspective, including the health humanities, phenomenology, the life sciences and humanoid AI (artificial intelligence) ethics. Surprisingly, our body representations show more plasticity than scholarly concepts and sociocultural narratives. Our embodied selves can withstand transplants, bionic prostheses and radical somatechnics, but to remain autonomous and authentic, our agential potentials must be strengthened – and this is not through ‘psychosurgery’ and the brain–computer interface

America Inc.: The Rise and Fall of a Civil Democracy

The field of Curriculum Studies has thoroughly outlined the detrimental effects of corporate ideology on education in terms of curricular mandates, the corporatization of higher education, rampant privatization, and globalization. Educational mandates have created an atmosphere of control in which students are methodically deprived of exploration and creativity through strict adherence to a prescribed curriculum. This results in the de-skilling of teachers and the loss of Self as students are forced to memorize facts based on educational mandates, with teachers having to constantly redirect outlets for creativity in order to teach to the test. As a result of this study, it is evident that educational mandates are the first step in preparing children to become the unknowing participants in a consumer culture. In addition to curriculum mandates, children are also controlled by a system that advocates the use of psychiatric diagnoses and subsequent medication as a means to suppress disruptive forms of behavior that are deemed to be abnormal, such as a child\u27s propensity to play and normal forms of adolescent rebellion. I propose that a culture of defiance is rising out of the attempts to suppress normal behavior as children and adolescents rebel against the system. I also propose that the Self is methodically detached from its creative core and that Object-Relations Theory plays an integral role in understanding the behavior of postmodern consumers