Artificial General Intelligence: 14th International Conference, AGI 2021
- Length: 378 pages
- Edition: 1
- Language: English
- Publisher: Springer
- Publication Date: 2022-01-07
- ISBN-10: 3030937577
- ISBN-13: 9783030937577
- Sales Rank: #0 (See Top 100 Books)
This book constitutes the refereed proceedings of the 14th International Conference on Artificial General Intelligence, AGI 2021, held as a hybrid event in San Francisco, CA, USA, in October 2021.
The 36 full papers presented in this book were carefully reviewed and selected from 50 submissions. The papers cover topics from foundations of AGI, to AGI approaches and AGI ethics, to the roles of systems biology, goal generation, and learning systems, and so much more.
Cover 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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