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Looks. Competent Program Evolution. PhD Thesis, Computer Science Department, Wash- ington University, 2006. LRN87. John Laird, Paul Rosenbloom, and Alan Newell. Soar: An architecture for general intelligence. Artificial Intelligence, 33, 1987. L505. J Lisman and N Spruston. Postsynaptic depolarization req
o discover 'toddler theorems'. 2008. SloCt8b. Aaron Sloman. The Well-Designed Young Mathematician. Artificial Intelligence, December 2008. SM05. Push Singh and Marvin Minsky. An architecture for cognitive diversity. In Darryl Davis, editor, Visions of Mind. 2005. Sotl I. Kaj Sotala. 14 objections agai
hat Is Human-Like General Intelligence? 2.3.3 Newell’s Criteria for a Human Cognitive Architecture Finally, another related perspective is given by Alan Newell’s “functional criteria for a human cognitive architecture” [New90], which require that a humanlike AGI system should: 1. Behave as an (almost) arbit
As Restak added, he is also not so effective at relating these emotional functions to straightforwardly implementable algorithms or data structures. Push Singh, in his PhD thesis and followup work [SBC05], did the best job so far of creating a concrete AI design based on Minsky’s ideas. While Singh’s system
Looks. Competent Program Evolution. PhD Thesis, Computer Science Department, Wash- ington University, 2006. LRN87. John Laird, Paul Rosenbloom, and Alan Newell. Soar: An architecture for general intelligence. Artificial Intelligence, 33, 1987. LS05. J Lisman and N Spruston. Postsynaptic depolarization requi
le to discover toddler theorems’. 2008. $1o08b. Aaron Sloman. The Well-Designed Young Mathematician. Artificial Intelligence, December 2008. SMO05. Push Singh and Marvin Minsky. An architecture for cognitive diversity. In Darryl Davis, editor, Visions of Mind. 2005. Sot11. Kaj Sotala. 14 objections against
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