Chapter 4 Brief Survey of Cognitive Architectures 4.1 Introduction While we believe CogPrime is the most thorough attempt at an architecture for advanced AGI, to date, we certainly recognize there have been many valuable attempts in the past with similar aims; and we also have great respect for other AGI efforts occurring in parallel with Cog- Prime development, based on alternative, sometimes overlapping, theoretical presuppositions and practical choices. In most of this book we will ignore these other current and historical efforts except where they are directly useful for CogPrime — there are many literature reviews already published, and this is a research treatise not a textbook. In this chapter, however, we will break from this pattern and give a rough high-level overview of the various AGI archi- tectures at play in the field today. The overview definitely has a bias toward other work with some direct relevance to CogPrime, but not an overwhelming bias; we also discuss a number of approaches that are unrelated to, and even in some cases conceptually orthogonal to, our own. CogPrime builds on prior AI efforts in a variety of ways. Most of the specific algorithms and structures in CogPrime have their roots in prior AI work; and in addition, the CogPrime cognitive architecture has been heavily inspired by some other holistic cognitive architectures, especially (but not exclusively) MicroPsi [Bac09], LIDA [BF 09] and DeSTIN [ARK09a, ARCO9J. In this chapter we will briefly review some existing cognitive architectures, with especial but not exclusive emphasis on the latter three. We will articulate some rough mappings between elements of these other architectures and elements of CogPrime — some in this chapter, and some in Chapter 5. However, these mappings will mostly be left informal and very incompletely specified. The articulation of detailed inter- architecture mappings is an important project, but would be a substantial additional project going well beyo