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Chapter 6
A Brief Overview of CogPrime

6.1 Introduction

Just as there are many different approaches to human flight – airplanes, helicopters, balloons, spacecraft, and doubtless many methods no person has thought of yet – similarly, there are likely many different approaches to advanced artificial general intelligence. All the different approaches to flight exploit the same core principles of aerodynamics in different ways; and similarly, the various different approaches to AGI will exploit the same core principles of general intelligence in different ways.

In the chapters leading up to this one, we have taken a fairly broad view of the project of engineering AGI. We have presented a conception and formal model of intelligence, and described environments, teaching methodologies and cognitive and developmental pathways that we believe are collectively appropriate for the creation of AGI at the human level and ultimately beyond, and with a roughly human-like bias to its intelligence. These ideas stand alone and may be compatible with a variety of approaches to engineering AGI systems. However, they also set the stage for the presentation of CogPrime, the particular AGI design on which we are currently working.

The thorough presentation of the CogPrime design is the job of Part 2 of this book – where, not only are the algorithms and structures involved in CogPrime reviewed in more detailed, but their relationship to the theoretical ideas underlying CogPrime is pursued more deeply. The job of this chapter is a smaller one: to give a high-level overview of some key aspects the CogPrime architecture at a mostly nontechnical level, so as to enable you to approach Part 2 with a little more idea of what to expect. The remainder of Part 1, following this chapter, will present various theoretical notions enabling the particulars, intent and consequences of the CogPrime design to be more thoroughly understood.

6.2 High-Level Architecture of CogPrime

Figures 6.1, 6.2 , 6.4 and 6.5 depict the high-level architecture of CogPrime, which involves the use of multiple cognitive processes associated with multiple types of memory to enable an intelligent agent to execute the procedures that it believes have the best probability of working toward its goals in its current context. In a robot preschool context, for example, the

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