Reading list
survey/perspective paper book YouTube
Required
- [YouTube] A DARPA Perspective on Artificial Intelligence
- [YouTube] Roadmap for the day, MIT CBMM
- [YouTube] Sam Altman and Lex Fridman
- [YouTube] The Exciting, Perilous Journey Toward AGI
- Scientific discovery in the age of artificial intelligence
- DARPA MCS Concept Paper
- How to Grow a Mind: Statistics, Structure, and Abstraction, Science 2011
- Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense (Section 1 and 2), Engineering 2020
Optional - Path to AGI: Early Efforts
- Computing Mechinery and Intelligence, Mind 1950
- Models of Man: Social and Rational, John Wiley & Sons (1957)
- The Sciences of the Artificial, MIT Press (1969)
- Human problem solving: The state of the theory in 1970, American Psychologist 1971; see also the full book.
- How Big Is a Chunk?, Science 1974
- The Language of Thought, Harvard University Press (1975)
- Models of Thought, Yale University Press (1979)
- Minds, brains, and programs, BBS 1990
- The Modularity of Mind, MIT Press (1983)
- Universal Subgoaling and Chunking: The Automatic Generation and Learning of Goal Hierarchies, Springer (1986)
- Soar: An Architecture for General Intelligence, Artificial Intelligence 1987
- Cognitive Load During Problem Solving: Effects on Learning, Cognitive Science 1988
- Connectionism and cognitive architecture: A critical analysis, Cognition 1988
- The Society of Mind, Simon and Schuster (1988)
- A Theory of the Origins of Human Knowledge, Artificial Intelligence 1989
- Induction: Processes of Inference, Learning, and Discovery, MIT Press (1989)
- Working Memory, Science 1992
Optional - Path to AGI: Modern Approaches
- Origins of Knowledge, PsychReview 1992
- The Compositionality Papers, Oxford University Press (2002)
- The Algebraic Mind: Integrating Connectionism and Cognitive Science, MIT Press (2003)
- An Integrated Theory of the Mind, Pshcylogical Review 2004
- A Stochastic Grammar of Images, Foundations and Trends in Computer Graphics and Vision 2007
- Learnability and Cognition: The Acquisition of Argument Structure, MIT Press (2013)
- A tale of three probabilistic families: Discriminative, descriptive, and generative models, Quarterly of Applied Mathematics 2019
- DreamCoder: bootstrapping inductive program synthesis with wake-sleep library learning, PLDI 2021; see also its earlier arxiv version.
- Towards General Purpose Vision Systems: An End-to-End Task-Agnostic Vision-Language Architecture, CVPR 2022
- From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence, arXiv preprint arXiv:2110.15245
- People construct simplified mental representations to plan, Nature 2022
- On the Origins of Mind: A Comparative Perspective, Annual Review of Developmental Psychology 2022
- Compositionality in Computational Linguistics, Annual Review of Linguistics 2023
- The debate over understanding in AI’s large language models, PNAS 2023
- AI’s challenge of understanding the world, Science 2023
Optional - Current “Trending” AI Topics Root from Cognition
- Learning representations by back-propagating errors, Nature 1986
- The perceptron: A probabilistic model for information storage and organization in the brain, PsychReview 1958
- Toward a Modern Theory of Adaptive Networks: Expectation and Prediction, PsychReview 1981
- A Learning Algorithm for Boltzmann Machines, Cognitive Science 1985
- Finding Structure in Time, Cognitive Science 1990
Optional - Common Sense
- Programs with common sense, Symposium on Mechanization of Thought Processes 1958
- ConceptNet 5.5: An Open Multilingual Graph of General Knowledge, AAAI 2017
Optional - Bayesian Inference
- Object Perception as Bayesian Inference, Annual Review of Psychology 2004
- Vision as Bayesian inference: analysis by synthesis?, TiCS 2006
- Bayesian Models of Conceptual Development: Learning as Building Models of the World, Annual Review of Developmental Psychology 2020