Preview of a virtual learning environment

It’s been a while since the last update, but be assured we’ve been very busy working away on the embodiment code and developing our virtual learning environment. With AGI-11 now in progress at the Googleplex, we’ve put together a few videos to give an outline of what we’re working on. There isn’t any overly advanced learning going on yet, but it gives you a feel for where the project is going.

First up is a video demonstrating a human controlled player navigating and interacting with the world. This world is built in Unity3D, so eventually we’ll be able to put this environment online, make it an iPad app, or whatever else, and let you guys interact and teach OpenCog directly.

The things to note are that it’s based off a minecraft-like environment, which means the player and AI will be able to modify the terrain and build things. Other objects can also be moved around and interacted with. We’ve got a very flexible action system that allows new action types to easily be added, and OpenCog will be able to learn the causal effect of executing these previously unknown actions.

Next is a demonstration of 3D pathfinding (implemented by Troy Deheng), with the satisfaction of a single “demand” for energy by consuming the battery object. In addition, it also shows simple planning by asking for a battery from the player if OpenCog can’t find one in the world. After asking this, the player spawns a new battery with a switch, and OpenCog efficiently detects this correlation between using the switch and new batteries appearing. In essence learning a new behaviour to satisfy it’s goals.

Jared Wigmore has been working on Fishgram, which is a frequent sub-hypergraph miner that detects patterns in the AtomSpace (and so by extension, also in the virtual world). This is the component used to detect that pushing a switch creates a new battery.

Last is a shorter video showing demands beyond just energy. These are analogous to goals, but not quite. They are slightly different in that they impel the system towards certain goals. The new demand in this video is one for integrity, which is roughly analogous to fatigue/health. In the video, the house is known to satisfy this demand and increase integrity, but it oscillates between which demand is most important. Integrity then Energy, then back again. Zhenhua Cai has already added a couple of more demands: Competence and Certainty.

Thanks to Cord Krohn for putting the videos together, as well as doing environment and character design and thanks to Michael Jia for 3d modelling and art assets.

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8 Responses to Preview of a virtual learning environment

  1. Pingback: OpenCog 3D Virtual Learning Environment | AI Revolution

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