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Artificial General Intelligence

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Cover of 'Artificial General Intelligence'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Utilizing Cognitive Mechanisms in the Analysis of Counterfactual Conditionals by AGI Systems
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    Chapter 2 When Almost Is Not Even Close: Remarks on the Approximability of HDTP
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    Chapter 3 Lojban++: An Interlingua for Communication between Humans and AGIs
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    Chapter 4 Integrating Feature Selection into Program Learning
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    Chapter 5 Integrating Deep Learning Based Perception with Probabilistic Logic via Frequent Pattern Mining
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    Chapter 6 Predictive Heuristics for Decision-Making in Real-World Environments
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    Chapter 7 Knowledge Representation, Learning, and Problem Solving for General Intelligence
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    Chapter 8 Metacomputations and Program-Based Knowledge Representation
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    Chapter 9 Towards a Programming Paradigm for Control Systems with High Levels of Existential Autonomy
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    Chapter 10 Universal Induction with Varying Sets of Combinators
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    Chapter 11 Modeling Two-Player Games in the Sigma Graphical Cognitive Architecture
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    Chapter 12 Model Construction in General Intelligence
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    Chapter 13 Resource-Bounded Machines are Motivated to be Effective, Efficient, and Curious
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    Chapter 14 Bounded Kolmogorov Complexity Based on Cognitive Models
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    Chapter 15 A Cognitive Architecture Based on Dual Process Theory
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    Chapter 16 Learning Agents with Evolving Hypothesis Classes
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    Chapter 17 Natural Language Processing by Reasoning and Learning
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    Chapter 18 A Note on Tractability and Artificial Intelligence
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    Chapter 19 Human-Level Artificial Intelligence Must Be a Science
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    Chapter 20 The Role of Specialized Intelligent Body-System Networks in Guiding General-Purpose Cognition
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    Chapter 21 Knowledgeable Talking Robots
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    Chapter 22 Cognitivist and Emergent Cognition - An Alternative Perspective
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    Chapter 23 Skill Learning and Inference Framework
Attention for Chapter 13: Resource-Bounded Machines are Motivated to be Effective, Efficient, and Curious
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Chapter title
Resource-Bounded Machines are Motivated to be Effective, Efficient, and Curious
Chapter number 13
Book title
Artificial General Intelligence
Published by
Springer Berlin Heidelberg, January 2013
DOI 10.1007/978-3-642-39521-5_13
Book ISBNs
978-3-64-239520-8, 978-3-64-239521-5
Authors

Bas R. Steunebrink, Jan Koutník, Kristinn R. Thórisson, Eric Nivel, Jürgen Schmidhuber, Steunebrink, Bas R., Koutník, Jan, Thórisson, Kristinn R., Nivel, Eric, Schmidhuber, Jürgen

Editors

Kai-Uwe Kühnberger, Sebastian Rudolph, Pei Wang

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Unknown 42 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 26%
Student > Ph. D. Student 9 21%
Researcher 8 19%
Other 6 14%
Student > Bachelor 2 5%
Other 3 7%
Unknown 4 9%
Readers by discipline Count As %
Computer Science 24 56%
Engineering 9 21%
Psychology 2 5%
Agricultural and Biological Sciences 1 2%
Economics, Econometrics and Finance 1 2%
Other 0 0%
Unknown 6 14%