308 17 A Preschool-Based Roadmap to Advanced AGI in some cases depending on the nature of the task. Here we give a partial task-set for the "vir- tual and robot preschool" scenarios discussed in Chapter 16, and a couple example quantitative metrics just to illustrate what is intended; the creation of a fully detailed roadmap based on the ideas outlined here is left for future work. The train of thought presented in this chapter emerged in part from a series of conversa- tions preceding and during the "AGI Roadmap Workshop" held at the University of Tennessee, Knoxville in October 2008. Some of the ideas also trace back to discussions held during two workshops on "Evaluation and Metrics for Human-Level AI" organized by John Laird and Pat Langley (one in Ann Arbor in late 2008, and one in Tempe in early 2009). Some of the conclu- sions of the Ann Arbor workshop were recorded in [LWMLO9]. Inspiration was also obtained from discussion at the "Future of AGI" post-conference workshop of the AGI-09 conference, triggered by Itamar Arel’s [ARK09a] presentation on the "AGI Roadmap" theme; and from an earlier article on AGI Roadmapping by [AL09]. However, the focus of the AGI Roadmap Workshop was considerably more general than the present chapter. Here we focus on preschool-type scenarios, whereas at the workshop a number of scenarios were discussed, including the preschool scenarios but also, for example, e Standardized Tests and School Curricula e Elementary, Middle and High School Student e General Videogame Learning e Wozniak’s Coffee Test: go into a random American house and figure out how to make coffee, and do it e Robot College Student e General Call Center Respondent For each of these scenarios, one may generate tasks corresponding to each of the competency areas we will outline below. CogPrime is applicable in all these scenarios, so our choice to focus on preschool scenarios is an additional judgment call beyond those judgment calls required to specify the