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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
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    Chapter 1 Hybrid Strategies Towards Safe “Self-Aware” Superintelligent Systems
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    Chapter 2 Request Confirmation Networks in MicroPsi 2
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    Chapter 3 Task Analysis for Teaching Cumulative Learners
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    Chapter 4 Associative Memory: An Spiking Neural Network Robotic Implementation
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    Chapter 5 A Comprehensive Ethical Framework for AI Entities: Foundations
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    Chapter 6 Partial Operator Induction with Beta Distributions
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    Chapter 7 Solving Tree Problems with Category Theory
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    Chapter 8 Goal-Directed Procedure Learning
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    Chapter 9 Can Machines Design? An Artificial General Intelligence Approach
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    Chapter 10 Resource-Constrained Social Evidence Based Cognitive Model for Empathy-Driven Artificial Intelligence
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    Chapter 11 Unsupervised Language Learning in OpenCog
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    Chapter 12 Functionalist Emotion Model in NARS
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    Chapter 13 Towards a Sociological Conception of Artificial Intelligence
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    Chapter 14 Efficient Concept Formation in Large State Spaces
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    Chapter 15 DSO Cognitive Architecture: Implementation and Validation of the Global Workspace Enhancement
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    Chapter 16 The Foundations of Deep Learning with a Path Towards General Intelligence
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    Chapter 17 Zeta Distribution and Transfer Learning Problem
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    Chapter 18 Vision System for AGI: Problems and Directions
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    Chapter 19 Semantic Image Retrieval by Uniting Deep Neural Networks and Cognitive Architectures
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    Chapter 20 The Temporal Singularity: Time-Accelerated Simulated Civilizations and Their Implications
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    Chapter 21 A Computational Theory for Life-Long Learning of Semantics
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    Chapter 22 Cumulative Learning with Causal-Relational Models
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    Chapter 23 Transforming Kantian Aesthetic Principles into Qualitative Hermeneutics for Contemplative AGI Agents
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    Chapter 24 Towards General Evaluation of Intelligent Systems: Using Semantic Analysis to Improve Environments in the AIQ Test
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    Chapter 25 Perception from an AGI Perspective
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    Chapter 26 A Phenomenologically Justifiable Simulation of Mental Modeling
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    Chapter 27 A Time-Critical Simulation of Language Comprehension
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    Chapter 28 How Failure Facilitates Success
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    Chapter 29 Adaptive Compressed Search
Attention for Chapter 3: Task Analysis for Teaching Cumulative Learners
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Chapter title
Task Analysis for Teaching Cumulative Learners
Chapter number 3
Book title
Artificial General Intelligence
Published by
Springer, Cham, August 2018
DOI 10.1007/978-3-319-97676-1_3
Book ISBNs
978-3-31-997675-4, 978-3-31-997676-1
Authors

Jordi E. Bieger, Kristinn R. Thórisson, Bieger, Jordi E., Thórisson, Kristinn R.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 14%
Professor > Associate Professor 1 7%
Researcher 1 7%
Student > Master 1 7%
Unknown 9 64%
Readers by discipline Count As %
Computer Science 3 21%
Social Sciences 1 7%
Neuroscience 1 7%
Unknown 9 64%