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

ion and intelligence. It has been tested on some practical control applications, and also on simulating artificial agents in a simple virtual world. MicroPsi's comprehen- siveness and basis in neuroscience and psychology are impressive, but in the current version of MicroPsi, learning and reasoning are ca

nts in a simple virtual world. MicroPsi's comprehen- siveness and basis in neuroscience and psychology are impressive, but in the current version of MicroPsi, learning and reasoning are carried out by algorithms that seem unlikely to scale. OCP incorporates the Psi model for motivation and emotion, so tha

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

tion and intelligence. It has been tested on some practical control applications, and also on simulating artificial agents in a simple virtual world. MicroPsi’s comprehen- siveness and basis in neuroscience and psychology are impressive, but in the current version of MicroPsi, learning and reasoning are car

ents in a simple virtual world. MicroPsi’s comprehen- siveness and basis in neuroscience and psychology are impressive, but in the current version of MicroPsi, learning and reasoning are carried out by algorithms that seem unlikely to scale. OCP incorporates the Psi model for motivation and emotion, so that

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

ut on the big- picture level the main difference lies in the way the cognitive synergy principle is pursued in the two different approaches. Psi and MicroPsi rely on very simple learning algorithms that are closely tied to the "quad" neurosymbolic knowledge representation, and hence interoperate in a fai

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

but on the big- picture level the main difference lies in the way the cognitive synergy principle is pursued in the two different approaches. Psi and MicroPsi rely on very simple learning algorithms that are closely tied to the “quad” neurosymbolic knowledge representation, and hence interoperate in a fairl