Sequential Decision-Making in Musical Intelligence PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Sequential Decision-Making in Musical Intelligence PDF full book. Access full book title Sequential Decision-Making in Musical Intelligence by Elad Liebman. Download full books in PDF and EPUB format.
Author: Elad Liebman Publisher: Springer Nature ISBN: 3030305198 Category : Technology & Engineering Languages : en Pages : 224
Book Description
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.
Author: Elad Liebman Publisher: Springer Nature ISBN: 3030305198 Category : Technology & Engineering Languages : en Pages : 224
Book Description
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.
Author: Jacqueline P. Leighton Publisher: Cambridge University Press ISBN: 9780521009287 Category : Psychology Languages : en Pages : 484
Book Description
We are bombarded with information - press releases, television news, Internet websites, and office memos, just to name a few - on a daily basis. However, the important conclusions that may or need to be inferred from such information are typically not provided. We must draw the conclusions by ourselves. How do we draw these conclusions? This book addresses how we reason to reach sensible conclusions. The purpose of this book is to organize in one volume what is known about reasoning, such as its structural prerequisites, its mechanisms, its susceptibility to pragmatic influences, its pitfalls, and the bases for its development. Given that reasoning underlies so many of our intellectual activities - when we learn, criticize, analyze, judge, infer, evaluate, optimize, apply, discover, imagine, devise, and create - we stand to gain a great deal if we can learn to define, operate, apply, and nurture our reasoning.
Author: Mohammed Abdellaoui Publisher: Springer Science & Business Media ISBN: 3540489355 Category : Business & Economics Languages : en Pages : 299
Book Description
This book tries to sort out the different meanings of uncertainty and to discover their foundations. It shows that uncertainty can be represented using various tools and mental guidelines. Coverage also examines alternative ways to deal with risk and risk attitude concepts. Behavior under uncertainty emerges from this book as something to base more on inquiry and reflection rather than on mere intuition.
Author: Simon Kemp Publisher: Routledge ISBN: 1317980050 Category : Business & Economics Languages : en Pages : 298
Book Description
The last ten years have seen an enormous surge of interest in issues that are common to psychology and economics. How do people make decisions about economic issues? How should they make such decisions? Does public policy or regulation succeed in its aim of helping people make these decisions? What situations aid cooperation? This volume explores some of the ways in which economists and psychologists have tried to answer these questions. The authors are an international mix of economists and psychologists, and as such they demonstrate a diverse range of approaches to tackling different aspects of these issues. This is a frontier area for both psychology and economics, and consequently it is relatively free, lawless and, above all, exciting. This collection reflects the diversity and energy that characterise this rapidly growing interdisciplinary field. This book was originally published as a special issue of New Zealand Economic Papers.
Author: Omid Omidvar Publisher: Elsevier ISBN: 0080537391 Category : Computers Languages : en Pages : 375
Book Description
Control problems offer an industrially important application and a guide to understanding control systems for those working in Neural Networks. Neural Systems for Control represents the most up-to-date developments in the rapidly growing aplication area of neural networks and focuses on research in natural and artifical neural systems directly applicable to control or making use of modern control theory. The book covers such important new developments in control systems such as intelligent sensors in semiconductor wafer manufacturing; the relation between muscles and cerebral neurons in speech recognition; online compensation of reconfigurable control for spacecraft aircraft and other systems; applications to rolling mills, robotics and process control; the usage of past output data to identify nonlinear systems by neural networks; neural approximate optimal control; model-free nonlinear control; and neural control based on a regulation of physiological investigation/blood pressure control. All researchers and students dealing with control systems will find the fascinating Neural Systems for Control of immense interest and assistance. - Focuses on research in natural and artifical neural systems directly applicable to contol or making use of modern control theory - Represents the most up-to-date developments in this rapidly growing application area of neural networks - Takes a new and novel approach to system identification and synthesis
Author: Peter M. Todd Publisher: OUP USA ISBN: 0195315448 Category : Philosophy Languages : en Pages : 609
Book Description
"More information is always better, and full information is best. More computation is always better, and optimization is best." More-is-better ideals such as these have long shaped our vision of rationality. Yet humans and other animals typically rely on simple heuristics to solve adaptive problems, focusing on one or a few important cues and ignoring the rest, and shortcutting computation rather than striving for as much as possible. In this book, we argue that in an uncertain world, more information and computation are not always better, and we ask when, and why, less can be more. The answers to these questions constitute the idea of ecological rationality: how we are able to achieve intelligence in the world by using simple heuristics matched to the environments we face, exploiting the structures inherent in our physical, biological, social, and cultural surroundings.
Author: Shira Elqayam Publisher: Routledge ISBN: 135162041X Category : Psychology Languages : en Pages : 271
Book Description
David E. Over is a leading cognitive scientist and, with his firm grounding in philosophical logic, he also exerts a powerful influence on the psychology of reasoning. He is responsible for not only a large body of empirical work and accompanying theory, but for advancing a major shift in thinking about reasoning, commonly known as the ‘new paradigm’ in the psychology of human reasoning. Over’s signature mix of philosophical logic and experimental psychology has inspired generations of researchers, psychologists, and philosophers alike over more than a quarter of a century. The chapters in this volume, written by a leading group of contributors including a number who helped shape the psychology of reasoning as we know it today, each take their starting point from the key themes of Over’s ground-breaking work. The essays in this collection explore a wide range of central topics—such as rationality, bias, dual processes, and dual systems—as well as contemporary psychological and philosophical theories of conditionals. It concludes with an engaging new chapter, authored by David E. Over himself, which details and analyses the new paradigm psychology of reasoning. This book is therefore important reading for scholars, researchers, and advanced students in psychology, philosophy, and the cognitive sciences, including those who are not familiar with Over’s thought already.
Author: Arnaud Chevallier Publisher: Pearson UK ISBN: 1292374276 Category : Languages : en Pages : 246
Book Description
A 3-step process for solving complex problems of any kind: Frame, Ideate, Decide. Solvable offers practical tools that are both evidence-based and presented in an accessible and visual way to help you improve all aspects of problem solving at work and home.
Author: Elad Liebman
Author: Elad Liebman
Author: Jacqueline P. Leighton
Author: Mohammed Abdellaoui
Author: Simon Kemp
Author: Omid Omidvar
Author: 
Author: Peter M. Todd
Author: Shira Elqayam
Author: Arnaud Chevallier
Author: