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Philosophy and Theory of Artificial Intelligence 2017

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Cover of 'Philosophy and Theory of Artificial Intelligence 2017'

Table of Contents

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    Book Overview
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    Chapter 1 Artificial Consciousness: From Impossibility to Multiplicity
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    Chapter 2 Cognition as Embodied Morphological Computation
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    Chapter 3 “The Action of the Brain”
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    Chapter 4 An Epistemological Approach to the Symbol Grounding Problem
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    Chapter 5 An Enactive Theory of Need Satisfaction
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    Chapter 6 Agency, Qualia and Life: Connecting Mind and Body Biologically
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    Chapter 7 Dynamic Concept Spaces in Computational Creativity for Music
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    Chapter 8 Creative AI: Music Composition Programs as an Extension of the Composer’s Mind
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    Chapter 9 How Are Robots’ Reasons for Action Grounded?
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    Chapter 10 Artificial Brains and Hybrid Minds
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    Chapter 11 Huge, but Unnoticed, Gaps Between Current AI and Natural Intelligence
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    Chapter 12 Social Cognition and Artificial Agents
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    Chapter 13 Mapping Intelligence: Requirements and Possibilities
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    Chapter 14 Do Machine-Learning Machines Learn?
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    Chapter 15 Where Intelligence Lies: Externalist and Sociolinguistic Perspectives on the Turing Test and AI
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    Chapter 16 Modelling Machine Learning Models
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    Chapter 17 Is Programming Done by Projection and Introspection?
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    Chapter 18 Supporting Pluralism by Artificial Intelligence: Conceptualizing Epistemic Disagreements as Digital Artifacts
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    Chapter 19 The Frame Problem, Gödelian Incompleteness, and the Lucas-Penrose Argument: A Structural Analysis of Arguments About Limits of AI, and Its Physical and Metaphysical Consequences
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    Chapter 20 Quantum Pancomputationalism and Statistical Data Science: From Symbolic to Statistical AI, and to Quantum AI
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    Chapter 21 Getting Clarity by Defining Artificial Intelligence—A Survey
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    Chapter 22 Epistemic Computation and Artificial Intelligence
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    Chapter 23 Will Machine Learning Yield Machine Intelligence?
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    Chapter 24 In Critique of RoboLaw: The Model of SmartLaw
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    Chapter 25 AAAI: An Argument Against Artificial Intelligence
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    Chapter 26 Institutional Facts and AMAs in Society
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    Chapter 27 A Systematic Account of Machine Moral Agency
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    Chapter 28 A Framework for Exploring Intelligent Artificial Personhood
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    Chapter 29 Against Leben’s Rawlsian Collision Algorithm for Autonomous Vehicles
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    Chapter 30 Moral Status of Digital Agents: Acting Under Uncertainty
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    Chapter 31 Friendly Superintelligent AI: All You Need Is Love
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    Chapter 32 Autonomous Weapon Systems - An Alleged Responsibility Gap
Attention for Chapter 16: Modelling Machine Learning Models
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Chapter title
Modelling Machine Learning Models
Chapter number 16
Book title
Philosophy and Theory of Artificial Intelligence 2017
Published by
Springer, Cham, November 2017
DOI 10.1007/978-3-319-96448-5_16
Book ISBNs
978-3-31-996447-8, 978-3-31-996448-5
Authors

Raül Fabra-Boluda, Cèsar Ferri, José Hernández-Orallo, Fernando Martínez-Plumed, M. José Ramírez-Quintana, Fabra-Boluda, Raül, Ferri, Cèsar, Hernández-Orallo, José, Martínez-Plumed, Fernando, Ramírez-Quintana, M. José

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 21%
Researcher 4 17%
Other 2 8%
Student > Bachelor 2 8%
Student > Doctoral Student 2 8%
Other 3 13%
Unknown 6 25%
Readers by discipline Count As %
Computer Science 5 21%
Environmental Science 2 8%
Social Sciences 2 8%
Biochemistry, Genetics and Molecular Biology 1 4%
Mathematics 1 4%
Other 4 17%
Unknown 9 38%