Epstein Secrets

MemberLinks. This is in accordance with the notion of glocal memory, in the language of which the HPAN attractors are the maps and the corresponding ConceptNodes are the keys. Put simply, when a HPAN attractor is recognized, MemberLinks are created between the HPAN nodes comprising the main body of the attra

stance SimAND(near(Cube, Teacher), above(Cube, Chair)) 26.4.3 Spatiotempcnut Conjunctions Define a temporal conjunction as a conjunction involving SimultaneousAND and Sequentia- IAND operators (including SSNAND as a special case of SeciAND: the special case that interests us in the short term). The conjunction

usual, but making use of Metallodes as well as ordinary CT nodes. The modeling of Metallodes is quite similar to the modeling of Nodes representing ConceptNodes and PredicateNodes using embedding vectors. In this way, one can use standard, small decision tree models to model fairly large portions of CTs (be

Ben. Along with predictive implication and attraction, sequential logical operations are important, represented by operators such as SequentialAND, SimultaneousAND and SimultaneousOR. For instance: PredictiveAttraction SeguentialAND Teacher says 'fetch' I get the ball I bring the ball to the teacher I get

y, there may be patterns across large numbers of nodes that merit encapsulation in individual nodes. For instance, if there are 1000 fairly similar ConceptNodes, it may be better not to merge them all together, but rather to create a single node to which they all link, reifying the category that they collect

t is a compound link structure that consists entirely of executable atomic predicates (e.g. pick_up, walk_to, can_do, etc.) and temporal links (e.g. SimultaneousAND, PredictiveImplication, etc.) Records of predicate execution may then be made using ExecutionLinks, e.g. ExecutionLink pick_up ( me, ball_7) is a