Epstein Secrets

ative Architecture for Embodied Artificial General Intelligence, http://wiki.opencog.org/w/CogPrime_Overview • Goertzel, Ben, Cassio Pennachin and Nil Geisweiller (2013). Engineering General Intelligence, vol. 1 and 2. Atlantis Press. • Hunt, Gavin R. (January 1996). "Manufacture and use of hook-tools by New

Role Time Dedication Annual Cost Dr. Ben Goertzel Team leader 75% $75K Cosmo Harrigan Lead programmer, OpenCog code expert 75% $60K Dr. Nil Geisweiller MOSES/PLN specialist 50% $40K Dr. Joscha Bach Expert in motivated behavior 20% -- Dr. Matthew lkle' ECAN/ PLN specialist 45% $40K Juni

the comparison of MOSES, PLN and ECAN with other roughly comparable algorithms from the literature (e.g. MOSES vs. Genetic Programming, PLN versus Markov Logic Networks, ECAN versus attractor neural nets). We have chosen not to include this sort of comparison in the core of the proposed work, because it would increa

ative Architecture for Embodied Artificial General Intelligence, http://wiki.opencog.org/w/CogPrime_Overview • Goertzel, Ben, Cassio Pennachin and Nil Geisweiller (2013). Engineering General Intelligence, vol. 1 and 2. Atlantis Press. • Hunt, Gavin R. (January 1996). "Manufacture and use of hook-tools by New

Role Time Dedication Annual Cost Dr. Ben Goertzel Team leader 75% $75K Cosmo Harrigan Lead programmer, OpenCog code expert 75% $60K Dr. Nil Geisweiller MOSES/PLN specialist 50% $401( Dr. Joscha Bach Expert in motivated behavior 20% -- Dr. Matthew lkle' ECAN/ PLN specialist 45% $40K Jun

the comparison of MOSES, PLN and ECAN with other roughly comparable algorithms from the literature (e.g. MOSES vs. Genetic Programming, PLN versus Markov Logic Networks, ECAN versus attractor neural nets). We have chosen not to include this sort of comparison in the core of the proposed work, because it would increa

primary author, Ben Goertzel. Ben will thus begin by expressing his thanks to his primary co-authors, Cassio Pennachin (collaborator since 1998) and Nil Geisweiller (collaborator since 2005). Without outstandingly insightful, deep-thinking colleagues like you, the ideas presented here — let alone the book itself—

le overlapping communities of people over a long period of time. The vast bulk of the writing here was done by Ben Goertzel; but Cassio Pennachin and Nil Geisweiller made sufficient writing, thinking and editing contributions over the years to more than merit their inclusion of co-authors. Further, many of the cha

is integrative in one sense or another. Estimation of Distribution Algorithms integrate proba- bilistic reasoning with evolutionary learning [Pel05]. Markov Logic Networks [RD06] integrate formal logic and probabilistic inference, as does the Probabilistic Logic Networks framework [GIGHO08] utilized in CogPrime and expl