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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
hich data and procedure are explicitly identical, and there is just one new active data structure in place of the distinction between AtomSpace and MindAgents Where on this continuum does the "mere learning" end and the "real self-modification" start? In this chapter we consider some mechanisms for "adva
ilation 319 schema learning the learning of schemata carrying out cognitive processes in more specialized, context-dependent ways than the general MindAgents do. Eventually, once a CogPrime instance becomes sufficiently complex and advanced, these cognitive schema may replace the MindAgents altogether, l
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
mpilation 319 schema learning the learning of schemata carrying out cognitive processes in more specialized, context-dependent ways than the general MindAgents do. Eventually, once a CogPrime instance becomes sufficiently complex and advanced, these cognitive schema may replace the MindAgents altogether, lea
which data and procedure are explicitly identical, and there is just one new active data structure in place of the distinction between AtomSpace and MindAgents Where on this continuum does the "mere learning" end and the "real self-modification" start? In this chapter we consider some mechanisms for "advan
-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
d effort management frameworks attempt to enforce this, via minimizing the amount of effort spent by the system in getting to a certain conclusion. MindAgents operating primarily on one kind of knowledge (e.g. MOSES, PLN) may for a time seek to follow the shortest paths within their particular correspondin
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