Epstein Secrets

KSPC13. Dimitri Kartsaklis, Mehrnoosh Sadrzadeh, Stephen Putman, and Bob Coecke. Reasoning about meaning

to learn procedures that will maxi- mize some Goal whose Truth Value is estimated via an expected reward calculation (where "reward" may mean simply the Truth Value of some Atom defined as "reward"). Goal-driven learning is more general than reinforcement learning as thus defined; and the learning that CogPrime does, which

t Systems Workshop (PerAfIS 2008), 2008. MW07. Stephen Morgan and Christopher Winship. Counterfactuals a

to learn procedures that will maxi- mize some Goal whose Truth Value is estimated via an expected reward calculation (where "reward" may mean simply the Truth Value of some Atom defined as "reward"). Goal-driven learning is more general than reinforcement learning as thus defined; and the learning that CogPrime does, which

ligent Systems Workshop (PerMIS 2008), 2008. W07. Stephen Morgan and Christopher Winship. Counterfactuals a

to learn procedures that will maxi- mize some Goal whose Truth Value is estimated via an expected reward calculation (where *reward” may mean simply the Truth Value of some Atom defined as ”reward”). Goal-driven learning is more general than reinforcement learning as thus defined; and the learning that CogPrime does, which is