I'm writing a calendar application with events like an airplane trip or attending a conference, and I want to use PLN to represent to location and time of the motion events of the person. It also needs to represent background knowledge such as "an opbject can't be in two places at the same time" or "if an object is at location X at a time and location Y at a later time, then the object had a motion event between those two locations", etc.
I know that the OpenCog project works a lot on learning knowledge from experience or making inference fast. I don't need my system to learn, and it's not processing millions of events so it doesn't need to be optimized for speed. Have you already specified the way to represent location, motion and background knowledge (like "can't be in two places at the same time")? If so, is there documentation? If not, is something this basic what you expect OpenCog to learn on its own? Thanks, - Jeff -- You received this message because you are subscribed to the Google Groups "opencog" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To post to this group, send email to [email protected]. Visit this group at https://groups.google.com/group/opencog. To view this discussion on the web visit https://groups.google.com/d/msgid/opencog/0ece36d3-3e04-4102-b491-eebd024fad89%40googlegroups.com. For more options, visit https://groups.google.com/d/optout.
