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Sequential Decision-making In Musical Intelligence (studies In Computational Intelligence) by Elad Liebman is a nonfiction available to read on EtoBox.

What is Sequential Decision-making In Musical Intelligence (studies In Computational Intelligence) about?

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 primar

Who reads Sequential Decision-making In Musical Intelligence (studies In Computational Intelligence)?

Author

Elad Liebman

Publisher

Springer International Publishing : Imprint: Springer

Published

2020

Language

EN

ISBN

9783030305192

Category

nonfiction

Subjects

Engineering, Music, Science