Intellectual and Cognitive History › Primary Sources for the Historical Record

The dates and attributions above follow the primary and foundational records below. The list is grouped by lineage and gives a resolvable link for dated papers wherever one is available; books are identified by author, year, and title. It is a verification trail for the chapter's central historical claims, not a claim that every interpretive sentence has a single source.

• Perception, motor prediction, and spatial maps: Helmholtz, Handbuch der physiologischen Optik, original fascicles published by Leopold Voss in 1856, 1860, and 1867; von Holst and Mittelstaedt (1950), Das Reafferenzprinzip; Sperry (1950), “Neural basis of the spontaneous optokinetic response”; Johansson and Westling (1988), expected-weight programming of grip forces; Tolman and Honzik (1930), “Introduction and removal of reward, and maze performance in rats,” University of California Publications in Psychology 4:257-275; Tolman, Ritchie, and Kalish (1946), orientation and shortcut learning; Tolman (1948), “Cognitive maps in rats and men”; O'Keefe and Dostrovsky (1971), place units; O'Keefe and Nadel (1978), The Hippocampus as a Cognitive Map; Muller and Kubie (1987), environmental control of place-cell firing; Bostock, Muller, and Kubie (1991), experience-dependent place-cell remapping; Hafting et al. (2005), grid cells; the 2014 Nobel Prize in Physiology or Medicine; Morris et al. (1982), hippocampal lesions in the water maze; Wilson and McNaughton (1994), sleep reactivation; Foster and Wilson (2006), awake reverse replay; and Gupta et al. (2010), replayed paths not reducible to recent experience, Neuron 65(5):695–705.

• Predictive representations and mental simulation: Dayan (1993), the successor representation; Stachenfeld, Botvinick, and Gershman (2017), a predictive map; Behrens et al. (2018), abstract cognitive maps; Wolpert, Ghahramani, and Jordan (1995), an internal model for sensorimotor integration; Wolpert and Kawato (1998), paired forward and inverse models; Blakemore, Wolpert, and Frith (1998), “Central cancellation of self-produced tickle sensation,” Nature Neuroscience 1:635-640; Blakemore, Frith, and Wolpert (1999), spatiotemporal perturbations of self-produced touch; Johnson-Laird (1983), Mental Models; Hesslow (2002), conscious thought as simulation; Schacter and Addis (2007), constructive episodic simulation; Hassabis et al. (2007), hippocampal amnesia and imagined experience; and Tulving (2002), “Episodic memory: From mind to brain”.

• Predictive processing: Mumford (1992), corticocortical loops; Rao and Ballard (1999), predictive coding in visual cortex; Friston, Kilner, and Harrison (2006), a free-energy account; and Clark (2013), predictive brains. A later development relative to Helmholtz's nineteenth-century tradition is the computational-Bayesian framing represented by Knill and Richards (1996), Perception as Bayesian Inference.

• Control, observers, and predictive control: Airy (1840), “On the Regulator of the Clock-work for effecting uniform Movement of Equatoreals,” Monthly Notices of the Royal Astronomical Society 5(5):41-43; Maxwell (1868), governors; Rosenblueth, Wiener, and Bigelow (1943), behavior and purpose; Wiener (1948), Cybernetics; Ashby (1952), Design for a Brain, and Ashby (1956), An Introduction to Cybernetics; Smith (1957), “Closer control of loops with dead time,” Chemical Engineering Progress 53(5):217-219; Kalman (1960), linear filtering; Luenberger (1964), observers; Francis and Wonham (1976), the internal-model principle; Conant and Ashby (1970), good regulators; Richalet et al. (1978), model predictive heuristic control; Cutler and Ramaker (1980), “Dynamic matrix control: A computer control algorithm,” Proceedings of the Joint Automatic Control Conference, WP5-B; Mayne et al. (2000), constrained MPC stability and robustness in Automatica; and Qin and Badgwell (2003), industrial MPC.

• Symbolic planning and model-based reinforcement learning: Newell, Shaw, and Simon (1956), the Logic Theory Machine, followed by their 1959 report on the General Problem Solver; Fikes and Nilsson (1971), STRIPS; Samuel (1959), machine learning in checkers; Sutton (1988), temporal-difference learning; Sutton (1990), “Integrated Architectures for Learning, Planning, and Reacting Based on Approximating Dynamic Programming,” ICML, pp. 216-224, and the 1991 SIGART article; Watkins (1989), Learning from Delayed Rewards, and Watkins and Dayan (1992), Q-learning; Moore and Atkeson (1993), prioritized sweeping; Baird (1995), linear function-approximation instability; Tsitsiklis and Van Roy (1997), linear TD convergence; Deisenroth and Rasmussen (2011), PILCO; Levine and Koltun (2013), guided policy search; Ha and Schmidhuber (2018), World Models; Silver et al. (2018), AlphaZero; Schrittwieser et al. (2020), MuZero; PlaNet (2019); Dreamer (2020); and DreamerV3, revised from its 2023 preprint and published at ICLR 2024.

• Generative and foundation-scale models: Kingma and Welling (2013), variational autoencoders; Goodfellow et al. (2014), GANs; Ho et al. (2020), denoising diffusion; Ho et al. (2022), video diffusion; Finn and Levine (2017), action-conditioned visual foresight; Ebert et al. (2017), self-supervised visual planning; LeCun (2022), JEPA and autonomous intelligence; V-JEPA; OpenAI's Sora technical report; Genie; and GameNGen.