Sequential decision-making in musical intelligence

Sequential decision-making in musical intelligence / Elad Liebman.

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...

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Bibliographic Details
Main Author: Liebman, Elad (Author)
Format: eBook
Language:English
Published: Cham, Swizterland : Springer, 2020.
Series:Studies in computational intelligence ; v. 857.
Subjects:
Artificial intelligence > Musical applications.
Computational intelligence.
Artificial intelligence > Musical applications
Computational intelligence
Online Access:Click for online access
Table of Contents:
  • Introduction
  • Background
  • Playlist Recommendation
  • Algorithms for Tracking Changes In Preference Distributions
  • Modeling the Impact of Music on Human Decision-Making
  • Impact of Music on Person-Agent Interaction
  • Multiagent Collaboration Learning: A Music Generation Test Case
  • Related Work and a Taxonomy of Musical Intelligence Tasks
  • Conclusion and Future Work.

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