Epstein Secrets

phasis due to its origin among AGI researchers rather than cognitive See ht t //www.ece.ut k edu/ -it amar/AGI_Roadmap.html; participants included: Sam Adams, IBM Research; Ben Goertzel, Novamente LLC; Ramer Arel, University of Tennessee; Joscha Bach, Institute of Cogni- tive Science, University of Osnabr

urations that carry out sensorimotor and categorization tasks. The emergence of higher-level cognition from this approach seems rather unlikely. • Ben Kuipers and his colleagues INIK07, MKOS, NIKOalhave pursued an extremely innovative research program which combines qualitative reasoning and reinforcement

IRO IDECUTOR Tisk VA. OROS NEI SERVO RANIER 50—hoia VICEID Fig. 4.12: Albus's perceptual, motor and modeling hierarchies 4.5.6 Joshua Blue Sam Adams and his colleagues at IBM have created a cognitive architecture called Joshua Blue IAABL02], which has some significant similarities to CogPrime. Si

r the various cognitively-relevant properties of the environment from looking at data about the ev- eryday world. We agree in principle, and in fact Ben Kuipers and his colleagues have done some interesting work in this direction, showing that learning algorithms can infer some basics about the structure of

phasis due to its origin among AGI researchers rather than cognitive 1 See http: //www.ece.utk.edu/~itamar/AGI_Roadmap. html; participants included: Sam Adams, IBM Research; Ben Goertzel, Novamente LLC; Itamar Arel, University of Tennessee; Joscha Bach, Institute of Cogni- tive Science, University of Osnabr

igurations that carry out sensorimotor and categorization tasks. The emergence of higher-level cognition from this approach seems rather unlikely. e Ben Kuipers and his colleagues [MK07, MIX08, MIXO09]have pursued an extremely innovative research program which combines qualitative reasoning and reinforcement

s signals signals signals signals signals signals SENSORS ACTUATOR Fig. 4.12: Albus’s perceptual, motor and modeling hierarchies 4.5.6 Joshua Blue Sam Adams and his colleagues at IBM have created a cognitive architecture called Joshua Blue [AABLO2], which has some significant similarities to CogPrime. Sim

er the various cognitively-relevant properties of the environment from looking at data about the ev- eryday world. We agree in principle, and in fact Ben Kuipers and his colleagues have done some interesting work in this direction, showing that learning algorithms can infer some basics about the structure of s