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-10, Singapore, August 2009. Association for Computational Linguistics. Pei34. C. Peirce. Collected papers: Volume V. Pragmatism end pragmaticism. Harvard University Press. Cambridge MA., 1934. Pel05. Martin Pelikan. Hierarchical Bayesian Optimization Algorithm: Toward a New Generation of Evolutionary Algorithms. Sp
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
04. Buc03. Mark Buchanan. Small World: Uncovering Nature's Hidden Networks. Phoenix, 2003. Bur62. C MacFarlane Burnet. The Integrity of the Body. Harvard University Press, 1962. BW88. R. W. Byrne and A. Whiten. Machiavellian Intelligence. Clarendon Press, 1988. 8203. Selmer Bringsjord and Xl Zenzen. Superminds: Peo
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
mous Systems, 2004. Mark Buchanan. Small World: Uncovering Nature’s Hidden Networks. Phoenix, 2003. C MacFarlane Burnet. The Integrity of the Body. Harvard University Press, 1962. R. W. Byrne and A. Whiten. Machiavellian Intelligence. Clarendon Press, 1988. Selmer Bringsjord and M Zenzen. Superminds: People Harness Hyp
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
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