Congratulations on some good work! It looks like "Acuitas" started out in Java and then moved to Python. http://writerofminds.blogspot.com -- is interesting. Anybody else here doing any Symbolic AI?
On Fri, Apr 17, 2020 at 9:05 PM WriterOfMinds <jennifer.hane....@gmail.com> wrote: > As promised, here's an update on my own project. This is a symbolic AI > that I've been slowly making bigger and more capable over the course of > several years. I just added the beginnings of narrative processing. Check > out the demo video in which I tell the AI a couple of brief stories: > https://www.youtube.com/watch?v=PYEi0XkMJXw > > How does Acuitas go about understanding a story? As the story is told, he > keeps track of all the following, stored in a temporary area that I call > the narrative scratchboard: > > *Who are the characters? > *What objects are in the story? What state are they in? > *What problems do the characters have? > *What goals do the characters have? > *What events take place? (Do any of them affect problems or goals?) > > Acuitas doesn’t try to understand the cause chain and import of every > single event in the story, because that would be a bit much at this stage. > However, he does try to make sure that he knows all of the following: > > *If a character is in some state, what does that mean for the character? > *If a character anticipates that something will happen, how does the > character feel about it? > *If a character is planning to do something, what is their motive? > > If he can’t figure it out by making inferences with the help of what’s in > his semantic database, he’ll bother his conversation partner for an > explanation, as you can see him doing in the video several times. Story > sentences don’t go into the permanent knowledge base (yet), but > explanations do, meaning they become available for understanding other > stories, or for general reasoning. Explaining things to him still requires > a bit of skill and an understanding of what his gaps are likely to be, > since he can’t be specific about *why* he doesn’t understand something. A > character state, expectation, or plan is adequately explained when he can > see how it relates to one of the character’s presumed goals. Once you > provide enough new links to let him make that connection, he’ll let you > move on. > > Acuitas returns feedback throughout the story. This is randomized for > variety (though I forced some particular options for the demo). After > receiving a new story sentence, he may ... > *say nothing, or make a “yes I’m listening” gesture. > *comment something that he inferred from the new information. > *tell you whether he likes or dislikes what just happened. > *try to guess what a character might do to solve a problem. > > He even has a primitive way of deciding whether it’s a good story or not. > He tracks suspense (generated by the presence of more than one possible > outcome) and tension (how dire things are for the characters) as the story > progresses. A story whose suspense and tension values don’t get very large > or don’t change much is “boring.” He also assesses whether the story had a > positive or negative ending (did the characters solve their problems and > meet their goals?). Stories with happy endings that aren’t boring may earn > approving comments. > > There are many directions in which this feature needs to expand and grow > more robust, and expect I’ll be working on them soon. More background on > the foundations of the project is available on the blog linked under the > YouTube video. > *Artificial General Intelligence List <https://agi.topicbox.com/latest>* > / AGI / see discussions <https://agi.topicbox.com/groups/agi> + > participants <https://agi.topicbox.com/groups/agi/members> + delivery > options <https://agi.topicbox.com/groups/agi/subscription> Permalink > <https://agi.topicbox.com/groups/agi/T7f1cd56ddf10648f-Meeef0c8cd4796f9d94dc0290> > ------------------------------------------ Artificial General Intelligence List: AGI Permalink: https://agi.topicbox.com/groups/agi/T7f1cd56ddf10648f-M62f42c2cef26ceec8cf42352 Delivery options: https://agi.topicbox.com/groups/agi/subscription