To read the full story: https://rh.gatech.edu/news/634615/interactive-tool-helps-people-see-why-staying-home-matters-during-pandemic?qt-latest_popular_archive_sidebar=1
Author Archive: LabManager
When can social distancing be relaxed? How many people will get COVID-19 in my area?
The VERA team has made a video about our work on the use of VERA to model the spread of COVID-19
VERA Models the Spread of COVID-19
The VERA team modeled the impact of social distancing on the spread of COVID-19. The simulations show that practice of social distancing slows the spread of COVID-19 (“flattens the curve”).
With VERA, you can explore parameter values and see for yourself the flattening of the curve. Interested in learning more? Visit VERA-Epi or read the white paper.
GAIA: Adaptive Game-Playing Agents
The designs of long-living interactive games evolve through many versions. Changes from one version of a game to the next are typically incremental and often very small. A game designer (or a team of game designers and software engineers) formulates the requirements of the new version of the game, adapts the software for playing the previous versions to meet the new requirements, and implements and evaluates the modified designs of the game and the software. Typically the game designer uses high-level scripting languages to define the game environment (e.g. percepts, actions, rules, constraints) as well as the behaviors of various virtual agents in the game.
We posit that an interesting research issue in game playing is how a virtual agent might adapt its design, and thus its behaviors, to very small changes in its game environment. If the changes in the game environment can be arbitrarily large and complex then this becomes an “AI-complete problem.” However, even if the changes to the game environment are incremental and very small, this is a hard computational problem because changes to the environment can be of many types, modifications to the agent design can be of many types, there is no one-to-one mapping between changes to the environment and modifications to the agent design, and any modification to the agent design needs to be propagated down to the level of program code so that the new software is directly executable in the game environment.
The goal of this project is to develop an interactive environment called GAIA (for Game Agent Interactive Adaptation) in which the game designer generates requirements for a new version of a game, and the designer and the legacy software agents from previous versions of the game cooperatively adapt the agent designs to the new game requirements. We are developing and testing our meta-reasoning technique for adapting a mature program in the domain of turn-based, multi-player, strategy games (specifically FreeCiv).
Solitude Waltz
A musical piece composed by Snejana Sheghava specifically for these challenging times.
Our team ’emPrize’ Makes Semifinals in IBM XPRIZE AI Competition
Our suite of agents Jill Watson, Jill Watson Social Agent, and VERA, under the team name ’emPrize’ made it to the top 10 in the IBM XPrize Competition. To know more about the projects and team members, please visit our emPrize website.
To read the full story: https://ai.xprize.org/prizes/artificial-intelligence
Ashok Goel received a Regents Award
Ashok Goel has been recognized by the University System of Georgia for his dedication to innovative teaching and learning.
To read the full story, please visit this website.
The Scientific Way of Thinking Through VERA Course Now on Youtube
The VERA team of DILab have teamed up with the Jill Watson group to create a 10 video online course on the Scientific Way of thinking. This truly revolutionary course also has access to Jill Watson through a slack channel, so that anyone in the world can ask questions to Jill about VERA. The video series can be found here:
DILab’s VERA is on EOL Front Page
The DILab team working on VERA are pleased to announce that their project can now be found on Smithsonian’s Encyclopedia of Life’s front page.