Technical AI Architecture Diagram Discussion – No Evident Investigative Leads

5.3 An Architecture Diagram for Human-Like General Intelligence 99 PERCEPTION/ ACTION SUBSYSTEMS Fig. 5.2: Architecture of Working Memory and Reactive Processing, closely modeled on the LIDA architecture Figure 5.3, modeling motivation and action selection, is a lightly modified version of the Psi diagram from Joscha Bach’s book Principles of Synthetic Intelligence [Bac09|. The main difference from Psi is that in the integrative diagram the Psi motivated action framework is embedded in a larger, more complex cognitive model. Psi comes with its own theory of working and long-term memory, which is related to but different from the one given in the integrative diagram — it views the multiple memory types distinguished in the integrative diagram as emergent from a common memory substrate. Psi comes with its own theory of perception and action, which seems broadly consistent with the deep learning approach incorporated in the integrative diagram. Psi’s handling of working memory lacks the detailed, explicit workflow of LIDA, though it seems broadly conceptually consistent with LIDA. In Figure 5.3, the box labeled "Other portions of working memory" is labeled "Protocol and situation memory" in the original Psi diagram. The Perception, Action Execution and Action Selection boxes have fairly similar semantics to the similarly labeled boxes in the LIDA-like Figure 5.2, so that these diagrams may be viewed as overlapping. The LIDA model doesn’t explain action selection and planning in as much detail as Psi, so the Psi-like Figure 5.3 could be viewed as an elaboration of the action-selection portion of the LIDA-like Figure 5.2. In Psi, reinforcement is considered as part of the learning process involved in action selection and planning; in Figure 5.3 an explicit "reinforcement box" has been added to the original Psi diagram, to emphasize this. Figure 5.4, modeling long-term memory and deliberative processing, is derived from our own prior work studying the "cognitive synergy" between different cognitive processes associated with different types of memory. The division into types of memory is fairly standard. Declarative, procedural, episodic and sensorimotor memory are routinely distinguished; we like to distinguish attentional memory and intentional (goal) memory as well, and view these as the interface between long-term memory and the mind’s global control systems. One focus of our AGI design work has been on designing learning algorithms, corresponding to these various types of memory, HOUSE_OVERSIGHT_013015