Epstein Secrets

e, wrapped in a MindAgent, that carries out back- ward chaining inference using PLN. • CIM-Dynamic: Con

types of artificial money, STICurrency and LTICur- rency. Theoretically these may be converted to one another. • Attentional Focus: The Atoms in an OpenCog Atomspace whose ShortTennImportance values lie above a critical threshold (the AttentionalFocus Boundary). The Attention Allo- cation subsystem treats these A

s for example, the words "sing" and "apologize" are both verbs, and thus share some linguistic structure, but one cannot say "I apologized a song to Vicky"; if these two verbs were initially grouped together into a common lexical entry, they must later be split apart. - The definition of a good lexic

bjects, each one with their own characteristics. For example, we could have multiple balls, with varying colors and sizes. We represent this in the OpenCog Atomspace via using multiple nodes: a single ConceptNode to represent the concept "ball", a WordNode associated with the word "ball", and numerous Se- meNocS

e, wrapped in a MindAgent, that carries out back- ward chaining inference using PLN. • CIM-Dynamic: Con

types of artificial money, STICurrency and LTICur- rency. Theoretically these may be converted to one another. • Attentional Focus: The Atoms in an OpenCog Atomspace whose ShortTennImportance values lie above a critical threshold (the AttentionalFocus Boundary). The Attention Allo- cation subsystem treats these A

e, wrapped in a MindAgent, that carries out back- ward chaining inference using PLN. CIM-Dynamic: Concr

nt types of artificial money, STICurrency and LTICur- rency. Theoretically these may be converted to one another. Attentional Focus: The Atoms in an OpenCog Atomspace whose ShortTermImportance values lie above a critical threshold (the AttentionalFocus Boundary). The Attention Allo- cation subsystem treats these At