Epstein Secrets

on Information Theories and Applications, 11, 2004. OK06. P. Oudeyer and F. Kaplan. Discovering communication. Connection Science, 2006. Onto08. Stephen Omohundro. The basic ai drives. Proceedings of the First AGI Conference. IOS Press, 2008. Oino09. Stephen Omohundro. Creating a cooperative future. 2009. ht

parameters and relationships guiding what the system pays attention to, at what points in time. This is a term inclusive of Importance Updating and Hebbian Learning. • Attentional Currency: Short Term Importance and Long Term Importance values are implemented in terms of two different types of artificial money,

sistent theory of physics. Kaj Sotala has provided a list of 14 objections to the Friendly AI concept, and suggested answers to each of them [Sot11]. Stephen Omohundro [Omo08] has argued that any advanced AI system will very likely demonstrate certain "basic AI drives", such as desiring to be rational, to self-prote

ake our points about glocal knowledge representation in neural net type systems without discussing some aspects of learning in these systems. 13.5.1 Hebbian Learning The most common and plausible assumption about learning in the brain is that synaptic connec- tions between neurons are adapted via some variant of

rnal on Information Theories and Applications, 11, 2004. OKO06. P. Oudeyer and F. Kaplan. Discovering communication. Connection Science, 2006. Omo08. Stephen Omohundro. The basic ai drives. Proceedings of the First AGI Conference. IOS Press, 2008. Omo09. Stephen Omohundro. Creating a cooperative future. 2009. http:

e parameters and relationships guiding what the system pays attention to, at what points in time. This is a term inclusive of Importance Updating and Hebbian Learning. Attentional Currency: Short Term Importance and Long Term Importance values are implemented in terms of two different types of artificial money, ST