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Definition
Formal Learning Theory studies systems that convert a stream of data into successive hypotheses about the process generating the data.
Theoretical Background
The basic setup of Formal Learning Theory is illustrated by the following game.
Players: You versus us.
Game pieces: The collection of non-empty finite sets of natural numbers (N = 0, 1, 2, …).
How to play: We will covertly choose one finite set S along with an infinite sequence with range equal to S (e.g., we might choose S = {7, 8, 9} and the sequence 7, 7, 9, 9, 7, 8, 8, 7 …). Each time we announce the next member of the sequence you must guess the finite set we chose.
Who wins: You win on a given sequence if all but finitely many of your guesses are right. You win the whole game if no matter which set we choose, and no matter what sequence we use to present it to you, you win on that sequence. Otherwise, we win.
It is clear how to win this game; just conjecture the finite set...
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References
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Wexler, K., & Culicover, P. W. (1980). Formal principles of language acquisition. Cambridge, MA: MIT Press.
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Osherson, D., Weinstein, S. (2012). Formal Learning Theory. In: Seel, N.M. (eds) Encyclopedia of the Sciences of Learning. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-1428-6_444
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DOI: https://doi.org/10.1007/978-1-4419-1428-6_444
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