Epstein Secrets

ledge and intuition regarding CogPrime. For example, beyond the ideas presented here, there is a body of work on the OpenCog wiki site, and then the OpenCog codebase itself. More extensive introductory remarks may be found in Preface of Part 1, including a brief history of the book and acknowledgements

sign. No doubt it will evolve in some respects as implementation progresses; one of the principles kept in mind during the design and development of OpenCog was modular- ity, enabling substantial modifications to particular parts of the framework to occur without requiring wholesale changes throughout th

$X) to refer to the set of X so that eats(cat, X). On the other hand, suppose we have the implication Implication Evaluation f $X Evaluation f ExOut reverse $X where f is a PredicateNode embodying a mathematical operator acting on pairs of NumberN- odes, and reverse is an operator that reverses a

us to attractor neural nets. The OpenCog design also contains a mechanism called Psynese (not yet implemented), in- tended to make it easier for one OpenCog instance to translate its personal thoughts into the mental language of another OpenCog instance. This translation process may be quite subtle, sin

representation, with an explicit (uncertain) logical aspect as well as an explicit subsymbolic aspect more analogous to attractor neural nets. The OpenCog design also contains a mechanism called Psynese (not yet implemented), in- tended to make it easier for one OpenCog instance to translate its persona

schema father_of that outputs the father of its argument. The ExecutionOutput (ExOut) edge denotes the output of a Schema in an implicit way, e.g. ExOut say_hello refers to a particular act of saying hello, whereas ExOut add numbers 43, 4) refers to the Concept corresponding to 7. Note that this la

us to attractor neural nets. The OpenCog design also contains a mechanism called Psynese (not yet implemented), in- tended to make it easier for one OpenCog instance to translate its personal thoughts into the mental language of another OpenCog instance. This translation process may be quite subtle, since

d representation, with an explicit (uncertain) logical aspect as well as an explicit subsymbolic aspect more analogous to attractor neural nets. The OpenCog design also contains a mechanism called Psynese (not yet implemented), in- tended to make it easier for one OpenCog instance to translate its persona

schema father_ of that outputs the father of its argument. The ExecutionOutput (ExOut) edge denotes the output of a Schema in an implicit way, e.g. ExOut say_hello refers to a particular act of saying hello, whereas ExOut add_numbers {3, 4) refers to the Concept corresponding to 7. Note that this la