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Product details:
- ISBN-10 : 3030521524
- ISBN-13 : 9783030521523
- Author: Ben Goertzel
This book constitutes the refereed proceedings of the 13th International Conference on Artificial General Intelligence, AGI 2020, held in St. Petersburg, Russia, in September 2020. The 30 full papers and 8 short papers presented in this book were carefully reviewed and selected from 60 submissions. The papers cover topics such as AGI architectures, artificial creativity and AI safety, transfer learning, AI unification and benchmarks for AGI.
Table of contents:
AGI and the Knight-Darwin Law: Why Idealized AGI Reproduction Requires Collaboration
Error-Correction for AI Safety
Artificial Creativity Augmentation
The Hierarchical Memory Based on Compartmental Spiking Neuron Model
The Dynamics of Growing Symbols: A Ludics Approach to Language Design by Autonomous Agents
Approach for Development of Engineering Tools Based on Knowledge Graphs and Context Separation
Towards Dynamic Process Composition in the DSO Cognitive Architecture
SAGE: Task-Environment Platform for Evaluating a Broad Range of AI Learners
Post-turing Methodology: Breaking the Wall on the Way to Artificial General Intelligence
Self-explaining AI as an Alternative to Interpretable AI
AGI Needs the Humanities
Report on “AI and Human Thought and Emotion”
Cognitive Machinery and Behaviours
Combinatorial Decision Dags: A Natural Computational Model for General Intelligence
What Kind of Programming Language Best Suits Integrative AGI?
Guiding Symbolic Natural Language Grammar Induction via Transformer-Based Sequence Probabilities
Embedding Vector Differences Can Be Aligned with Uncertain Intensional Logic Differences
Delta Schema Network in Model-Based Reinforcement Learning
Information Digital Twin—Enabling Agents to Anticipate Changes in Their Tasks
‘OpenNARS for Applications’: Architecture and Control
Towards AGI Agent Safety by Iteratively Improving the Utility Function
Learning to Model Another Agent’s Beliefs: A Preliminary Approach
An Attentional Control Mechanism for Reasoning and Learning
Hyperdimensional Representations in Semiotic Approach to AGI
The Conditions of Artificial General Intelligence: Logic, Autonomy, Resilience, Integrity, Morality, Emotion, Embodiment, and Embeddedness
Position Paper: The Use of Engineering Approach in Creation of Artificial General Intelligence
How Do You Test the Strength of AI?
Omega: An Architecture for AI Unification
Analyzing Elementary School Olympiad Math Tasks as a Benchmark for AGI
The Meaning of Things as a Concept in a Strong AI Architecture
Toward a General Believable Model of Human-Analogous Intelligent Socially Emotional Behavior
Autonomous Cumulative Transfer Learning
New Brain Simulator II Open-Source Software
Experience-Specific AGI Paradigms
Psychological Portrait of a Virtual Agent in the Teleport Game Paradigm
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