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Computational Psychiatry
Psychiatrists and neuroscientists discuss the potential of computational approaches to address problems in psychiatry including diagnosis, treatment, and integration with neurobiology. Modern psychiatry is at a crossroads, as it attempts to balance neurological analysis with psychological assessment. Computational neuroscience offers a new lens through which to view such thorny issues as diagnosis, treatment, and integration with neurobiology. In this volume, psychiatrists and theoretical and computational neuroscientists consider the potential of computational approaches to psychiatric issues. This unique collaboration yields surprising results, innovative synergies, and novel open question...
Machine Learning and Principles and Practice of Knowledge Discovery in Databases
This two-volume set constitutes the refereed proceedings of the workshops which complemented the 21th Joint European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD, held in September 2021. Due to the COVID-19 pandemic the conference and workshops were held online. The 104 papers were thoroughly reviewed and selected from 180 papers submited for the workshops. This two-volume set includes the proceedings of the following workshops:Workshop on Advances in Interpretable Machine Learning and Artificial Intelligence (AIMLAI 2021)Workshop on Parallel, Distributed and Federated Learning (PDFL 2021)Workshop on Graph Embedding and Mining (GEM 2021)Workshop on Machine L...
Strategic Risk Management
This book presents a new approach to risk management that enables executives to think systematically and strategically about future risks and deal proactively with threats to their competitive advantages in an ever more volatile, uncertain, complex, and ambiguous world. Organizations typically manage risks through traditional tools such as insurance and risk mitigation; some employ enterprise risk management, which looks at risk holistically throughout the organization. But these tools tend to focus organizational attention on past actions and compliance. Executives need to tackle risk head-on as an integral part of their strategic planning process, not by looking in the rearview mirror. Str...
Mapping Psychopathology with fMRI and Effective Connectivity Analysis
There is a growing appreciation that many psychiatric (and neurological) conditions can be understood as functional disconnection syndromes – as reflected in aberrant functional integration and synaptic connectivity. This Research Topic considers recent advances in understanding psychopathology in terms of aberrant effective connectivity – as measured noninvasively using functional magnetic resonance imaging (fMRI). Recently, there has been increasing interest in inferring directed connectivity (effective connectivity) from fMRI data. Effective connectivity refers to the influence that one neural system exerts over another and quantifies the directed coupling among brain regions – and ...
Active Inference
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Ethics of Artificial Intelligence
As Artificial Intelligence (AI) technologies rapidly progress, questions about the ethics of AI, in both the near-future and the long-term, become more pressing than ever. This volume features seventeen original essays by prominent AI scientists and philosophers and represents the state-of-the-art thinking in this fast-growing field. Organized into four sections, this volume explores the issues surrounding how to build ethics into machines; ethical issues in specific technologies, including self-driving cars, autonomous weapon systems, surveillance algorithms, and sex robots; the long term risks of superintelligence; and whether AI systems can be conscious or have rights. Though the use and practical applications of AI are growing exponentially, discussion of its ethical implications is still in its infancy. This volume provides an invaluable resource for thinking through the ethical issues surrounding AI today and for shaping the study and development of AI in the coming years.
Free Energy in Psychoanalysis and Neuroscience
This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.
The Elephant and the Blind
An engaging and insightful journey into human consciousness. What if our goal had not been to land on Mars, but in pure consciousness? The experience of pure consciousness—what does it look like? What is the essence of human consciousness? In The Elephant and the Blind, influential philosopher Thomas Metzinger, one of the world's leading researchers on consciousness, brings together more than 500 experiential reports to offer the world's first comprehensive account of states of pure consciousness. Drawing on a large psychometric study of meditators in 57 countries, Metzinger focuses on “pure awareness” in meditation—the simplest form of experience there is—to illuminate the most fu...
Undue Hate
How to understand the mistakes we make about those on the other side of the political spectrum—and how they drive the affective polarization that is tearing us apart. It’s well known that the political divide in the United States—particularly between Democrats and Republicans—has grown to alarming levels in recent decades. Affective polarization—emotional polarization, or the hostility between the parties—has reached an unprecedented fever pitch. In Undue Hate, Daniel F. Stone tackles the biases undergirding affective polarization head-on. Stone explains why we often develop objectively false, and overly negative, beliefs about the other side—causing us to dislike them more tha...
