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Awesome Artificial General Intelligence and Computational Cognitive Sciences
An awesome & curated list for Artificial General Intelligence, an emerging inter-discipline field that combines artificial intelligence and computational cognitive sciences as majority, alone with probability and statistics, formal logic, cognitive and developmental psychology, computational philosophy, cognitive neuroscience, and computational sociology. We are promoting high-level machine intelligence by getting inspirations from the way that human learns and thinks, while obtaining a deeper understanding of human cognition simultaneously. We believe that this kind of reciprocative research is a potential way towards our big picture: building human-level intelligent systems with capabilities such as abstracting, explaining, learning, planning, and making decisions. And such intelligence may generally help people improve scientific research, engineering, and the arts, which are the hallmarks of human intelligence.
Awesome AGI & CoCoSci is an all-in-one collection, consisting of recources from basic courses and tutorials, to papers and books around diverse topics in mutiple perspectives. Both junior and senior researchers, whether learning, working on, or working around AGI and CoCoSci, meet their interest here.
Contents
- Papers
- Abduction
- Explanation
- Scientific Discovery
- Rationalization
- Applications in AI
- Bayesian Modeling
- Bayesian Induction
- Generative Model
- Nonparametric Model
- Bayesian Optimization
- Concepts
- Theory of Concepts
- Human Concept Represenataion
- AI Concept Representation
- Complexity & Information Theory
- Theory
- Dimensionality Reduction
- Visual Complexity
- Communications
- Non-Verbal Communication
- Pragmatics
- Language Compositionality
- Coordination
- Domain Specific Language
- Design Theory
- Design Practises
- Design Automation
- Imperative DSL Applications
- Declarative DSL Applications
- Logic DSL Applications
- DSL Program Synthesis
- Cognitive Foundations
- Problem Solving
- Human-Level Problem Solving
- Planning
- Intrinsic Motivation
- Reinforcement Learning
- Inverse Reinforcement Learning
- System 1 & System 2
- Dual-Coding Theory
- Neural-Symbolic AI
- Explainability
- Trustworthy AI
- Strong Machine Learning
- Explainable Deep Learning
- Embodied Intelligence
- Evolutionary Intelligence
- Methodologies for Experiments
- Quantitative Analysis
- Scaling Up Behavioral Studies
- Decision Making
- Question Answering
- Human-Machine Comparison
- Association Test
- Virtual Reality
- Meta-Level Considerations
- Meta Learning
- Marr's Levels of Analysis
- Gestalt
- The Aha! Moment
- Rationality
- Cognitive Architecture
- Science Logology
- Philosophy of Science
- Science of Science
- Literature Mining
- Scientific Writing
- Science Education
- Democratization of Science
- Laboratory Automation
- AI Assisted Research
- Theory of Mind