Document discusses cognitive architectures (ACT‑R, Cyc, Texai) with no apparent links to high‑profile actors or misconduct

62 4 Brief Survey of Cognitive Architectures _{ Interior VLPFC { [ Fusiform gyrus ae a, | FTTH Visual Fig. 4.3: Conjectured Mapping Between ACT-R and the Brain psychological data. Opinions differ as to whether this sort of modeling is valuable for achieving AGI goals. CogPrime is not designed to support this kind of modeling, as it intentionally does many things very differently from humans. ACT-R in its original form did not say much about perceptual and motor operations, but recent versions have incorporated EPIC, an independent cognitive architecture focused on mod- eling these aspects of human behavior. 4.2.3 Cyc and Texai Our review of cognitive architectures would be incomplete without mentioning Cye [LG90], one of the best known and best funded AGIL-oriented projects in history. While the main focus of the Cyc project has been on the hand-coding of large amounts of declarative knowledge, there is also a cognitive architecture of sorts there. The center of Cyc is an engine for logical deduction, acting on knowledge represented in predicate logic. A natural language engine has been associated with the logic engine, which enables one to ask English questions and get English replies. Stephen Reed, while an engineer at Cycorp, designed a perceptual-motor front end for Cyc based on James Albus’ Reference Model Architecture; the ensuing system, called Cognitive- Cyc, would have been the first full-fledged cognitive architecture based on Cyc, but was not implemented. Reed left Cycorp and is now building a system called Texai, which has many similarities to Cyc (and relies upon the OpenCyc knowledge base, a subset of Cyc’s overall knowledge base), but incorporates a CognitiveCyc style cognitive architecture. HOUSE_OVERSIGHT_012978