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Fundamental Issues of Artificial Intelligence

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Cover of 'Fundamental Issues of Artificial Intelligence'

Table of Contents

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    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 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 title
When Thinking Never Comes to a Halt: Using Formal Methods in Making Sure Your AI Gets the Job Done Good Enough
Chapter number 4
Book title
Fundamental Issues of Artificial Intelligence
Published by
Springer International Publishing, June 2016
DOI 10.1007/978-3-319-26485-1_4
Book ISBNs
978-3-31-926483-7, 978-3-31-926485-1
Authors

Tarek R. Besold, Robert Robere

Editors

Vincent C. Müller

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 33%
Other 2 33%
Researcher 1 17%
Unknown 1 17%
Readers by discipline Count As %
Philosophy 1 17%
Arts and Humanities 1 17%
Computer Science 1 17%
Psychology 1 17%
Engineering 1 17%
Other 0 0%
Unknown 1 17%