Sequential Decision-Making in Musical Intelligence

Sequential Decision-Making in Musical Intelligence PDF

Author: Elad Liebman

Publisher: Springer Nature

Published: 2019-10-01

Total Pages: 224

ISBN-13: 3030305198

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Over the past 60 years, artificial intelligence has grown from an academic field of research to a ubiquitous array of tools used in everyday technology. Despite its many recent successes, certain meaningful facets of computational intelligence have yet to be thoroughly explored, such as a wide array of complex mental tasks that humans carry out easily, yet are difficult for computers to mimic. A prime example of a domain in which human intelligence thrives, but machine understanding is still fairly limited, is music. Over recent decades, many researchers have used computational tools to perform tasks like genre identification, music summarization, music database querying, and melodic segmentation. While these are all useful algorithmic solutions, we are still a long way from constructing complete music agents able to mimic (at least partially) the complexity with which humans approach music. One key aspect that hasn't been sufficiently studied is that of sequential decision-making in musical intelligence. Addressing this gap, the book focuses on two aspects of musical intelligence: music recommendation and multi-agent interaction in the context of music. Though motivated primarily by music-related tasks, and focusing largely on people's musical preferences, the work presented in this book also establishes that insights from music-specific case studies can also be applicable in other concrete social domains, such as content recommendation.Showing the generality of insights from musical data in other contexts provides evidence for the utility of music domains as testbeds for the development of general artificial intelligence techniques.Ultimately, this thesis demonstrates the overall value of taking a sequential decision-making approach in settings previously unexplored from this perspective.

A Primer on Multiple Intelligences

A Primer on Multiple Intelligences PDF

Author: Matthew N. O. Sadiku

Publisher: Springer Nature

Published: 2021-07-24

Total Pages: 275

ISBN-13: 3030775844

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This book provides an introduction to nineteen popular multiple intelligences. Part One discusses general intelligence, psychological testing, naturalistic intelligence, social intelligence, emotional intelligence, interpersonal intelligence, and cultural intelligence. Part Two tackles machine intelligence, the development of artificial intelligence, computational intelligence, and digital intelligence, or the ability for humans to adapt to a digital environment. Finally, Part Three discusses the role of intelligence in business development, using technology to augment intelligence, abstract thinking, swarm and animal intelligence, military intelligence, and musical intelligence. A Primer on Multiple Intelligences is a must-read for graduate students or scholars considering researching cognition, perception, motivation, and artificial intelligence. It will also be of use to those in social psychology, computer science, and pedagogy. It is as a valuable resource for anyone interested in learning more about the multifaceted study of intelligence.

Computational Intelligence and Decision Making

Computational Intelligence and Decision Making PDF

Author: Ana Madureira

Publisher: Springer Science & Business Media

Published: 2012-11-08

Total Pages: 493

ISBN-13: 9400747225

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This book provides a general overview and original analysis of new developments and applications in several areas of Computational Intelligence and Information Systems. Computational Intelligence has become an important tool for engineers to develop and analyze novel techniques to solve problems in basic sciences such as physics, chemistry, biology, engineering, environment and social sciences. The material contained in this book addresses the foundations and applications of Artificial Intelligence and Decision Support Systems, Complex and Biological Inspired Systems, Simulation and Evolution of Real and Artificial Life Forms, Intelligent Models and Control Systems, Knowledge and Learning Technologies, Web Semantics and Ontologies, Intelligent Tutoring Systems, Intelligent Power Systems, Self-Organized and Distributed Systems, Intelligent Manufacturing Systems and Affective Computing. The contributions have all been written by international experts, who provide current views on the topics discussed and present recent, original insights from their own experience in these fields.

Building Community in Buildings

Building Community in Buildings PDF

Author: Ken Baker

Publisher: Bloomsbury Publishing USA

Published: 2006-11-30

Total Pages: 226

ISBN-13: 0313084483

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Building Community in Buildings takes us on a fascinating journey through workplaces large and small, old and new, traditional and contemporary, to explore the dynamic relationships between people and the structures in which they work. Noting that a child born today will spend 90 percent of his or her life inside, Jana Kemp and Ken Baker integrate insights from management and building design to reveal new understandings about workplace productivity and performance. Showcasing dozens of examples—from office buildings to libraries to hospitals—the authors highlight innovative practies that utilize space to promote creativity and collaboration, improve morale and motivation, and ensure employee health and safety. Featuring over a dozen photographs, practical recommendations, and the tools to conduct a workplace design survey in your own organization, Building Community in Buildings ultimately demonstrates that by investing in spaces that support people needs, companies will strengthen bottom-line results. Building Community in Buildings takes us on a fascinating journey through workplaces large and small, old and new, traditional and contemporary, to explore the dynamic relationships between people and the structures in which they work. Consider that in the 1950s, average North Americans spent approximately 50 percent of their time in buildings, compared to a child born today, who will spend 90 percent of his or her life inside. Clearly and increasingly, our social and cultural relationships are deeply influenced by the physical spaces in which they are created. Jana Kemp and Ken Baker integrate insights from management and building design to reveal new understandings about workplace productivity and performance. Showcasing dozens of examples—from the redesign of the Hood River Library in Oregon (with input from front-line employees) to the creation of open, naturally-lit spaces in Lockheed Building 157 (increasing employee productivity by 15%), the authors highlight innovative practices that utilize space to promote creativity and collaboration, improve morale and motivation, and ensure employee health and safety. They also explore the pros and cons of virtual workplaces, in which people are connected electronically but not physically, and trace the impact and influences of such trends as the green building movement. Featuring over a dozen photographs, practical recommendations, and the tools to conduct a workplace design survey in your own organization, Building Community in Buildings ultimately demonstrates that by investing in spaces that support people needs, companies will strengthen bottom-line results.

Artificial General Intelligence

Artificial General Intelligence PDF

Author: Jordi Bieger

Publisher: Springer

Published: 2015-07-14

Total Pages: 416

ISBN-13: 3319213652

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This book constitutes the refereed proceedings of the 8th International Conference on Artificial General Intelligence, AGI 2015, held in Berlin, Germany in July 2015. The 41 papers were carefully reviewed and selected from 72 submissions. The AGI conference series has played and continues to play, a significant role in this resurgence of research on artificial intelligence in the deeper, original sense of the term of “artificial intelligence”. The conferences encourage interdisciplinary research based on different understandings of intelligence and exploring different approaches. AGI research differs from the ordinary AI research by stressing on the versatility and wholeness of intelligence and by carrying out the engineering practice according to an outline of a system comparable to the human mind in a certain sense.

The Oxford Handbook of Assessment Policy and Practice in Music Education

The Oxford Handbook of Assessment Policy and Practice in Music Education PDF

Author: Timothy Brophy

Publisher: Oxford University Press

Published: 2019-01-02

Total Pages: 848

ISBN-13: 0190248157

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In the music classroom, instructors who hope to receive aid are required to provide data on their classroom programs. Due to the lack of reliable, valid large-scale assessments of student achievement in music, however, music educators in schools that accept funds face a considerable challenge in finding a way to measure student learning in their classrooms. From Australia to Taiwan to the Netherlands, music teachers experience similar struggles in the quest for a definitive assessment resource that can be used by both music educators and researchers. In this two-volume Handbook, contributors from across the globe come together to provide an authority on the assessment, measurement, and evaluation of student learning in music. The Handbook's first volume emphasizes international and theoretical perspectives on music education assessment in the major world regions. This volume also looks at technical aspects of measurement in music, and outlines situations where theoretical foundations can be applied to the development of tests in music. The Handbook's second volume offers a series of practical and US-focused approaches to music education assessment. Chapters address assessment in different types of US classrooms; how to assess specific skills or requirements; and how assessment can be used in tertiary and music teacher education classrooms. Together, both volumes of The Oxford Handbook of Assessment in Music Education pave the way forward for music educators and researchers in the field.

Readings in Music and Artificial Intelligence

Readings in Music and Artificial Intelligence PDF

Author: Eduardo Reck Miranda

Publisher: Routledge

Published: 2013-10-28

Total Pages: 319

ISBN-13: 113665285X

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The interplay between emotional and intellectual elements feature heavily in the research of a variety of scientific fields, including neuroscience, the cognitive sciences and artificial intelligence (AI). This collection of key introductory texts by top researchers worldwide is the first study which introduces the subject of artificial intelligence and music to beginners. Eduardo Reck Miranda received a Ph.D. in music and artificial intelligence from the University of Edinburgh, Scotland. He has published several research papers in major international journals and his compositions have been performed worldwide. Also includes 57 musical examples.