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tasks in Chapter 17. 2.3.2 Gardner's Theory of Multiple Intelligences The diverse list of human-level "competencies" given above is reminiscent of Gardner's t tr991 multiple intelligences (MI) framework - a psychological approach to intelligence assessment based on the idea that different people have
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
m observations Table 16.1: Categories of Preschool Curriculum, Part 1 16.3.1 Preschool in the Light of Intelligence Theory Comparing Table 16.1 to Gardner's Multiple Intelligences (MI) framework briefly reviewed in Chapter 2, the high degree of harmony is obvious, and is borne out by more detailed anal
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
rizations of Humanlike Intelligence .....................-.. 24 2.3.1 Competencies Characterizing Human-like Intelligence ................. 24 2.3.2 Gardner’s Theory of Multiple Intelligences........................--. 25 xili HOUSE_OVERSIGHT_012909 xiv Contents 2.3.3 Newell’s Criteria for a Human Cog
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
m observations Table 16.1: Categories of Preschool Curriculum, Part 1 16.3.1 Preschool in the Light of Intelligence Theory Comparing Table 16.1 to Gardner’s Multiple Intelligences (MI) framework briefly reviewed in Chapter 2, the high degree of harmony is obvious, and is borne out by more detailed analy
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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