Epstein Secrets

r research on planning and motivation 3. Implement measures of system intelligence inspired by biological animal intelligence testing (Commons and Ross, 2008) Many types of virtual animal could help work toward these goals, but because we would like to explore primitive instantiations of linguistic

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

r research on planning and motivation 3. Implement measures of system intelligence inspired by biological animal intelligence testing (Commons and Ross, 2008) Many types of virtual animal could help work toward these goals, but because we would like to explore primitive instantiations of linguistic

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

ng and the "Siberian Madmind" Anton Kolonin, Mike Ross, Cate Hartley, Karin Verspoor and the tragically

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