bonnet 发表于 2025-3-30 11:13:41
http://reply.papertrans.cn/17/1621/162044/162044_51.pngaristocracy 发表于 2025-3-30 16:10:43
http://reply.papertrans.cn/17/1621/162044/162044_52.pngGOUGE 发表于 2025-3-30 17:14:59
http://reply.papertrans.cn/17/1621/162044/162044_53.pngLobotomy 发表于 2025-3-30 23:02:46
http://reply.papertrans.cn/17/1621/162044/162044_54.pngDecibel 发表于 2025-3-31 04:00:31
Integrating Feature Selection into Program Learninga preliminary “feature selection“ step. However, this approach will not work if one wishes to apply program learning as a key component of an AGI system, because there is no generally applicable feature selection heuristic, and in an AGI context one cannot assume a human cleverly tuning the feature审问 发表于 2025-3-31 07:07:36
http://reply.papertrans.cn/17/1621/162044/162044_56.pngTemporal-Lobe 发表于 2025-3-31 09:41:33
http://reply.papertrans.cn/17/1621/162044/162044_57.pngCorral 发表于 2025-3-31 15:18:02
Knowledge Representation, Learning, and Problem Solving for General Intelligencegrated. To make the research tractable, a good approach is to address these issues in a simplified micro-environment that nevertheless engages all the issues from perception to action. We describe a domain independent and scalable representational scheme and a computational process encoded in a compBILE 发表于 2025-3-31 19:46:30
Metacomputations and Program-Based Knowledge Representationovides information about evolution of a system in time. Therefore, programs can be considered the most universal data structures. The main problem with such representation is that it is much more difficult to deal with programs than with usual data structures. Metacomputations are a powerful tool foresuscitation 发表于 2025-4-1 00:52:04
http://reply.papertrans.cn/17/1621/162044/162044_60.png