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Fundamental Issues of Artificial Intelligence

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Cover of 'Fundamental Issues of Artificial Intelligence'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 New Developments in the Philosophy of AI
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    Chapter 2 Rationality and Intelligence: A Brief Update
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    Chapter 3 Computation and Multiple Realizability
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    Chapter 4 When Thinking Never Comes to a Halt: Using Formal Methods in Making Sure Your AI Gets the Job Done Good Enough
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    Chapter 5 Machine Intelligence and the Ethical Grammar of Computability
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    Chapter 6 Is There a Role for Computation in the Enactive Paradigm?
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    Chapter 7 Natural Recursion Doesn’t Work That Way: Automata in Planning and Syntax
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    Chapter 8 AI, Quantum Information, and External Semantic Realism: Searle’s Observer-Relativity and Chinese Room, Revisited
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    Chapter 9 Semantic Information and Artificial Intelligence
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    Chapter 10 Information, Computation, Cognition. Agency-Based Hierarchies of Levels
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    Chapter 11 From Simple Machines to Eureka in Four Not-So-Easy Steps: Towards Creative Visuospatial Intelligence
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    Chapter 12 Leibniz’s Art of Infallibility, Watson, and the Philosophy, Theory, and Future of AI
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    Chapter 13 Fundamental Issues of Artificial Intelligence
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    Chapter 14 Representational Development Need Not Be Explicable-By-Content
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    Chapter 15 Toward a Theory of Intelligent Complex Systems: From Symbolic AI to Embodied and Evolutionary AI
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    Chapter 16 The Anticipatory Brain: Two Approaches
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    Chapter 17 General Homeostasis, Passive Life, and the Challenge to Autonomy
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    Chapter 18 Ad Hoc Hypotheses and the Monsters Within
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    Chapter 19 Arguably Argumentative: A Formal Approach to the Argumentative Theory of Reason
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    Chapter 20 Explaining Everything
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    Chapter 21 Why Emotions Do Not Solve the Frame Problem
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    Chapter 22 HeX and the Single Anthill: Playing Games with Aunt Hillary
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    Chapter 23 Computer Models of Constitutive Social Practice
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    Chapter 24 Artificial Intelligence: The Point of View of Developmental Robotics
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    Chapter 25 Tacit Representations and Artificial Intelligence: Hidden Lessons from an Embodied Perspective on Cognition
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    Chapter 26 Machine Art or Machine Artists?: Dennett, Danto, and the Expressive Stance
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    Chapter 27 Perception, Action and the Notion of Grounding
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    Chapter 28 The Seminal Speculation of a Precursor: Elements of Embodied Cognition and Situated AI in Alan Turing
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    Chapter 29 Heideggerian AI and the Being of Robots
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    Chapter 30 The Need for Moral Competency in Autonomous Agent Architectures
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    Chapter 31 Order Effects, Moral Cognition, and Intelligence
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    Chapter 32 Artificial Intelligence and Responsible Innovation
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    Chapter 33 Future Progress in Artificial Intelligence: A Survey of Expert Opinion
Attention for Chapter 33: Future Progress in Artificial Intelligence: A Survey of Expert Opinion
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Chapter title
Future Progress in Artificial Intelligence: A Survey of Expert Opinion
Chapter number 33
Book title
Fundamental Issues of Artificial Intelligence
Published by
Springer International Publishing, June 2016
DOI 10.1007/978-3-319-26485-1_33
Book ISBNs
978-3-31-926483-7, 978-3-31-926485-1

Vincent C. Müller, Nick Bostrom, Müller, Vincent C., Bostrom, Nick


Vincent C. Müller

Twitter Demographics

The data shown below were collected from the profiles of 12 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 515 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 <1%
United Kingdom 1 <1%
Italy 1 <1%
Ireland 1 <1%
Unknown 511 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 93 18%
Student > Master 88 17%
Student > Ph. D. Student 78 15%
Researcher 46 9%
Student > Doctoral Student 20 4%
Other 76 15%
Unknown 114 22%
Readers by discipline Count As %
Computer Science 101 20%
Business, Management and Accounting 64 12%
Engineering 48 9%
Social Sciences 39 8%
Economics, Econometrics and Finance 23 4%
Other 108 21%
Unknown 132 26%