Artificial General Intelligence 14th International Conference AGI 2021 Palo Alto CA USA October 15 18 2021 Proceedings 1st Edition by Ben Goertzel 9783030937584 3030937585

Artificial General Intelligence 14th International Conference AGI 2021 Palo Alto CA USA October 15 18 2021 Proceedings 1st Edition Ben Goertzel – Ebook Instant Download/Delivery ISBN(s): 9783030937584,9783030937577,3030937585,3030937577

Product details:

• ISBN 10:3030937585
• ISBN 13:9783030937584
• Author: Ben Goertzel

Artificial General Intelligence
14th International Conference, AGI 2021, Palo Alto, CA, USA, October 15–18, 2021, Proceedings

Table contents:

Front Matter
Reward-Punishment Symmetric Universal Intelligence
AGI Brain II: The Upgraded Version with Increased Versatility Index
Elements of Task Theory
Symbol Emergence and the Solutions to Any Task
Compression, The Fermi Paradox and Artificial Super-Intelligence
The Artificial Scientist: Logicist, Emergentist, and Universalist Approaches to Artificial General Intelligence
Mesarovician Abstract Learning Systems
About the Intricacy of Tasks
Experiments on the Generalization of Machine Learning Algorithms
Parsing Using a Grammar of Word Association Vectors
Goal Generation and Management in NARS
Neuro-Symbolic Architecture for Experiential Learning in Discrete and Functional Environments
Navigating Conceptual Space; A New Take on AGI
Categorical Artificial Intelligence: The Integration of Symbolic and Statistical AI for Verifiable, Ethical, and Trustworthy AI
Moral Philosophy of Artificial General Intelligence: Agency and Responsibility
The Piagetian Modeler
Epistolution: How a Systems View of Biology May Explain General Intelligence
Measures of Intelligence, Perception and Intelligent Agents
Univalent Foundations of AGI are (not) All You Need
Biological Intelligence Considered in Terms of Physical Structures and Phenomena
Adaptive Multi-strategy Market Making Agent
Unsupervised Context-Driven Question Answering Based on Link Grammar
A Virtual Actor Behavior Model Based on Emotional Biologically Inspired Cognitive Architecture
Causal Generalization in Autonomous Learning Controllers
AI Future: From Internal Vectors to Simple Objects States Subspaces Maps
A Thousand Brains and a Million Theories
The Role of Bio-Inspired Modularity in General Learning
The Ecosystem Path to AGI
On Comparative Analysis of Rule-Based Cognitive Architectures
20NAR1 – An Alternative NARS Implementation Design
The Gap Between Intelligence and Mind
Neural String Diagrams: A Universal Modelling Language for Categorical Deep Learning
AGI Control Theory
AGI via Combining Logic with Deep Learning
Case-Based Task Generalization in Model-Based Reinforcement Learning
PySigma: Towards Enhanced Grand Unification for the Sigma Cognitive Architecture
Back Matter

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