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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 Modeling Motivation in MicroPsi 2
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    Chapter 2 Genetic Programming on Program Traces as an Inference Engine for Probabilistic Languages
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    Chapter 3 Scene Based Reasoning
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    Chapter 4 Anchoring Knowledge in Interaction: Towards a Harmonic Subsymbolic/Symbolic Framework and Architecture of Computational Cognition
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    Chapter 5 Safe Baby AGI
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    Chapter 6 Observation, Communication and Intelligence in Agent-Based Systems
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    Chapter 7 Reflective Variants of Solomonoff Induction and AIXI
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    Chapter 8 Are There Deep Reasons Underlying the Pathologies of Today’s Deep Learning Algorithms?
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    Chapter 9 Speculative Scientific Inference via Synergetic Combination of Probabilistic Logic and Evolutionary Pattern Recognition
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    Chapter 10 Stochastic Tasks: Difficulty and Levin Search
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    Chapter 11 Instrumental Properties of Social Testbeds
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    Chapter 12 Towards Human-Level Inductive Functional Programming
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    Chapter 13 Anytime Bounded Rationality
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    Chapter 14 Ultimate Intelligence Part I: Physical Completeness and Objectivity of Induction
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    Chapter 15 Towards Emotion in Sigma: From Appraisal to Attention
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    Chapter 16 Inferring Human Values for Safe AGI Design
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    Chapter 17 Two Attempts to Formalize Counterpossible Reasoning in Deterministic Settings
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    Chapter 18 Bounded Cognitive Resources and Arbitrary Domains
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    Chapter 19 Using Localization and Factorization to Reduce the Complexity of Reinforcement Learning
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    Chapter 20 Towards Flexible Task Environments for Comprehensive Evaluation of Artificial Intelligent Systems and Automatic Learners
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    Chapter 21 Assumptions of Decision-Making Models in AGI
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    Chapter 22 Issues in Temporal and Causal Inference
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    Chapter 23 The Space of Possible Mind Designs
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    Chapter 24 A Definition of Happiness for Reinforcement Learning Agents
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    Chapter 25 Expression Graphs
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    Chapter 26 Toward Tractable Universal Induction Through Recursive Program Learning
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    Chapter 27 How Can Cognitive Modeling Benefit from Ontologies? Evidence from the HCI Domain
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    Chapter 28 Artificial General Intelligence
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    Chapter 29 A New View on Grid Cells Beyond the Cognitive Map Hypothesis
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    Chapter 30 Programming Languages and Artificial General Intelligence
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    Chapter 31 From Specialized Syntax to General Logic: The Case of Comparatives
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    Chapter 32 Decision-Making During Language Understanding by Intelligent Agents
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    Chapter 33 Plan Recovery in Reactive HTNs Using Symbolic Planning
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    Chapter 34 Optimization Framework with Minimum Description Length Principle for Probabilistic Programming
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    Chapter 35 Can Machines Learn Logics?
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    Chapter 36 Comparing Computer Models Solving Number Series Problems
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    Chapter 37 Emotional Concept Development
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    Chapter 38 The Cyber-Physical System Approach Towards Artificial General Intelligence: The Problem of Verification
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    Chapter 39 Analysis of Types of Self-Improving Software
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    Chapter 40 On the Limits of Recursively Self-Improving AGI
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    Chapter 41 Gödel Agents in a Scalable Synchronous Agent Framework
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Title
Artificial General Intelligence
Published by
Springer, Cham, January 2015
DOI 10.1007/978-3-319-21365-1
ISBNs
978-3-31-921364-4, 978-3-31-921365-1
Editors

Jordi Bieger, Ben Goertzel, Alexey Potapov

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 150%
Lecturer > Senior Lecturer 1 50%
Readers by discipline Count As %
Unspecified 3 150%
Materials Science 1 50%