Top 50 Awesome List

YuzheSHI/awesome-agi-cocosci

Theory  12 hours ago  87
An awesome & curated list for Artificial General Intelligence, an emerging inter-discipline field that combines artificial intelligence and computational cognitive sciences.
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Roadmap of studying Abduction

Awesome Artificial General Intelligence and Computational Cognitive Sciences Awesome

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 mathematical 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 agents with capabilities such as abstracting, explaining, learning, planning, and making decisions.

The initiator of this repo has been struggling to taxonomize related topics, since there are so many perspectives to follow, such as task-oriented, technique-oriented, and metaphysics-oriented. Finally he decided to focus on the perspective of The Sciences of Intelligence---each topic describes a phenomenon of intelligence, or an intelligent behavior---they show the objectives of reverse-engineering human intelligence for computational methods. These topics are never restricted to specific technical methods or tasks, but are trying to organize the nature of intelligence---from both the software perspective and the hardware perspective.

Obviously this reading list is far from covering the every aspect of AGI and CoCoSci. Since the list is a by-product of the literature reviews when the initiator is working on Abduction and Bayesian modeling, other topics are also collected with biases, more or less. Abduction may be the way humans explain the world with the known, and discover the unknown, requiring much more investigations into its computational basis, cognitive underpinnings, and applications to AI. Please feel free to reach out.

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Contents

Academic Tools

Courses

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Programming

  • Probabilistic Models of Cognition - MIT. The probabilistic approach to cognitive science, which models learning and reasoning as inference in complex probabilistic models.

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Paper Writing

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Paper Reading

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Literature Management

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Knowledge Management

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Papers

Abduction

Explanation

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Scientific Discovery

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Rationalization

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Applications in AI

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Bayesian Modeling

Bayesian Induction

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Generative Model

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Nonparametric Model

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Bayesian Optimization

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Concepts

Theory of Concepts

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Human Concept Representation

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AI Concept Representation

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Complexity & Information Theory

Theory

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Dimensionality Reduction

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Visual Complexity

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Learning with Cognitive Plausibility

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Communications

Visual Communication

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Pragmatics

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Pointing & Pantomime

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Language Compositionality

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Problem Solving

Human-Level Problem Solving

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Planning

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Intrinsic Motivation

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Reinforcement Learning

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Inverse Reinforcement Learning

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System 1 & System 2

Dual-Coding Theory

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Neural-Symbolic AI

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Explainability

Trustworthy AI

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Strong Machine Learning

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Explainable Deep Learning

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Embodied Intelligence

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Evolutionary Intelligence

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Methodologies for Experiments

Quantitative Analysis