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o and me. And Mb Jiang, collaborator of Hugo and Changle, a deep AGI thinker who is helping with OpenCog theory and practice at time of writing. • Gino Yu, who got me started working on AGI here in Hong Kong, where I am living at time of writing. As of 2013 the bulk of OpenCog work is occurring in Hong
n V A Path to Human-Level AGI 16 AGI Preschool 289 16.1 Introduction 289 16.1.1 Contrast to Standard AI Evaluation Methodologies 290 16.2 Elements of Preschool Design 291 16.3 Elements of Preschool Curriculum 292 16.3.1 Preschool in the Light of Intelligence Theory 293 16.4 Task-Based Assessment in AGI P
and Language. 1, 1.:158-171, 1986. CPC+ 11. Ben Coertzel, Joel Pitt, Zhenhua Cai, Jared Wigmore, Deheng Huang., Nil Geisweiller, Ruiting Lian, and Gino Yu. Integrative general intelligence for controlling game al in a minecralt-like environment. In Proc. of RICA 2011, 2011. CP1+10. Ben Goertzel, Joel
d "transfer learning," where the goal for an AI is to learn one task quicker given another task solved previously 10%117, TM95, EFTA00624066 16.2 Elements of Preschool Design 291 )1C05j. This is one of the capabilities an AI agent will need to simultaneously lear❑ different types of tasks as proposed in the Preschool sc
Hugo and me. And Min Jiang, collaborator of Hugo and Changle, a deep AGI thinker who is helping with OpenCog theory and practice at time of writing. Gino Yu, who got me started working on AGI here in Hong Kong, where I am living at time of writing. As of 2013 the bulk of OpenCog work is occurring in Hong
een eens 289 16.1 Introduction .......... 0.0000 teen teens 289 16.1.1 Contrast to Standard AI Evaluation Methodologies ................... 290 16.2 Elements of Preschool Design ...........00 0.00 e eee eee eee 291 16.3 Elements of Preschool Curriculum ........0... 00000 c eee eee eee 292 16.3.1 Preschool in the Light of Inte
nd and Language. 1, 1.:158-171, 1986. GPC? 11. Ben Goertzel, Joel Pitt, Zhenhua Cai, Jared Wigmore, Deheng Huang, Nil Geisweiller, Ruiting Lian, and Gino Yu. Integrative general intelligence for controlling game ai in a minecraft-like environment. In Proc. of BICA 2011, 2011. GPIt 10. Ben Goertzel, Joel
fer learning,” where the goal for an AT is to learn one task quicker given another task solved previously [Car97, TM95, HOUSE_OVERSIGHT_013206 16.2 Elements of Preschool Design 291 BDS03, TSO07, RZDKO5]. This is one of the capabilities an AI agent will need to simultaneously learn different types of tasks as proposed in the
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