Projects
CCL projects are organized around two themes:
| Game AI |
AI agents for interactive games (RTS games, interactive drama) |
| Decision Support |
Web 2.0 agents for decision support (digital health/bio/medical, intelligence analysis) |
For more information, contact Dr. Ashwin Ram. If you're interested in working on a project, see Opportunities.
CURRENT PROJECTS
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Second Mind: Cognitive Models for Second Life Avatars
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Second Mind is investigating cognitive models for Second Life avatars that let them interact autonomously with other avatars. The interaction is human-like, driven by models of emotion, social behaviors, personality, goals, etc. This project involves AI/cognitive modeling, Second Life interface, and UI/UX aspects to let people interact with and customize their avatars' behaviors and personalities.
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Skunkworks
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D2: Teachable AI for RTS games
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D2 is creating real-time case-based reasoning algorithms for real-time strategy games such as Warcraft. These algorithms enable the game AI to play strategically and learn from experience. This project involves AI, case-based reasoning, planning and machine learning, along with Internet protocols to interface with game engines.
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Skunkworks
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Cobot: Community Bot
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Cobot is a Web 2.0 agent that interacts with people discussing health issues. It finds relevant information from health websites and participates in discussion forums. This project requires AI and NLP algorithms along with internet APIs and Web 2.0 UI.
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Skunkworks
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Deep Green: Crystal Ball
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Crystal Ball (Deep Green) is a DARPA project to develop a CBR system that learn to predict the utility and flexibility of futures in courses-of-action simulations for a commander's associate application. It uses knowledge of strategic, political and social systems. This project requires strong Java skills and a background in AI / ML / CBR / Game AI algorithms. Must be US citizen or permanent resident.
Ashwin Ram, CCL; Betty Whitaker, GTRI; Richard Fujimoto, CSE
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Funded by DARPA
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GILA: Generalized Integrated Learning Architecture
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GILA integrates multiple integrated-learning-and-reasoning (ILR) agents for strategic problems. It is being applied to airspace mission planning and real-time strategy games. This project requires strong Java skills and a background in AI / ML / CBR algorithms. Our work focuses on CBL/R (case-based learning and reasoning) and MRE-ML (meta-reasoning executive: meta-learning), and is part of a large DARPA-funded project across several universities.
Ashwin Ram, CCL
w/ Martin Hoffman & Ken Whitebread, LMCO; Jim Hendler & VS Subrahmanian, UMd; Jerry DeJong, UIUC; Richard Fikes & Deb McGuinness, Stanford; Tom Dietterich, OSU; Rao Kambhampati, ASU; Vic Lesser, Dan Corkill & Shelley Zhang, UMass; Betty Whitaker, GTRI; Diana Spears, UW; Jon Agre, Fujitsu.
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Funded by DARPA
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Inquus: Inquiry Nexus
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Inquus provides online collaboration technologies for students to meet and study together. This project requires Web 2.0 UI/UX design and implementation using Flex, Flash, GWT, PHP, or similar toolkits. Inquus is entering commercialization phase and is being spun out as a startup company via Georgia Tech's VentureLabs.
Ashwin Ram, CCL; Sanjoy Malik, ATDC VentureLabs; Preetha Ram, Emory U
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Funded by NSF, NIH, Georgia Research Alliance (GRA)
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PREVIOUS PROJECTS
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MM: Interactive Drama / Mystery Mansion
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Intelligent adaptive agents for believable conversational characters in interactive drama
Ashwin Ram, CCL; Mike Cox, BBN; Celia Pearce, LCC; Michael Nitsche, LCC
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Skunkworks
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MERLIN: Self-Improving Medical Decision Support Agent
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Learning rules for medical diagnostics by reading published articles
More info
Ashwin Ram, CCL; Ernie Garcia, Emory U; Eugene Agichtein, Emory U
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Funded by Emory School of Medicine and GVU/HSI Seed Grant
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ISLE: Information Sharing and Learning Environment
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Information assurance and decision support for intelligence analysts.
Ashwin Ram, CCL; Chris Simpkins, GTRI; Matt Kochan, AFRL
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Funded by DTO/ARDA, AFRL, and STL
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ARL-TL: Asynchronous Reasoning and Learning for Transfer Learning
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Learning transferrable knowledge for real-time strategy games
Charles Isbell, IAI; Ashwin Ram, CCL
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Funded by DARPA
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CaseBook: Adaptive Problem-Based Learning Environment
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Educational technology to support problem-based learning for science education.
Ashwin Ram, CCL; Preetha Ram, Emory University
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Funded by NSF
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Game AI: Case-based behavior generation for interactive games
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Dynamic creation of new behaviors for AI game-playing agents
Ashwin Ram, CCL; Michael Mateas, EGL
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Funded by DARPA
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GeneTrek: Bioinformatics Assistant
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Interpretation of gene microarray data by text mining MEDLINE
Ray Dingledine & Brian Ciliax, Emory University; Sham Navathe, CoC; Ashwin Ram, CCL
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Sacre Bleu: Software Assisted Content Review Based on Language (English) Understanding
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Content review and decision support for information assurance
Matthew Kochan, AFRL; Ashwin Ram, CCL
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Funded by ARDA
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ARL: Asynchronous case-based learning for real-time equipment diagnostics
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Real-time learning of feature spaces and cases for equipment condition monitoring (ECM)
Charles Isbell, CoC; Ashwin Ram, CCL
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Funded by DARPA
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Pepe: Personal Pet
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Robotic system that simulates the behaviors, emotional responses, and user interactions of a pet
Ashwin Ram, CCL; Irfan Essa, GVU
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Funded by Yamaha
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Beavis: Battlefield Analysis and Decision Support
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Situation assessment system that recognizes enemy strategies in multi-agent battlefield scenario
Ashwin Ram, CCL; Mark Devaney, CoC
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Funded by ARL
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WALTS: Workshop for Aiding and Learning Troubleshooting
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Multimedia system to provide on-the-job support for human troubleshooters
Ashwin Ram, CCL; Brian Minsk, ISyE
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Funded by DEC
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ChemLab: Educational Environment for Chemistry
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Multimedia system to teach basic concepts for an undergraduate chemistry course
Ashwin Ram, CCL; Preetha Ram, Emory University
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Funded by ONR
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AlgoNet: Educational Environment for Algorithms
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Multimedia system to teach basic computer science concepts for undergraduate engineering education
Ashwin Ram, CCL; Mark Guzdial, GVU; John Stasko, GVU; Richard Catrambone, Psychology
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Funded by NSF and ONR
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Nicole: Next-Generation Case-Based Reasoning
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Advanced CBR including opportunistic memory to provide asynchronous remindings, multiplan adaptation and merging, and utility-based control
Ashwin Ram, CCL; Anthony Francis, CoC
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Funded by DoD
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Isaac: Creative Natural Language Understanding
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Creative story understanding system that reads actual science fiction stories
Ashwin Ram, CCL; Kenneth Moorman, CoC
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Funded by Hertz Foundation
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SINS: Self-Improving Navigation System
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Multistrategy case-based and reinforcement learning system that continuously constructs and adapts its own system-environment model during robot navigation tasks
Ashwin Ram, CCL; Ron Arkin, MRL; Juan Santamaria, CoC
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Funded by ARL
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IML: Introspective Multistrategy Learning
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Goal-driven learning system that learns using multiple learning algorithms from novel natural language stories
Ashwin Ram, CCL; Mike Cox, CoC
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Funded by NSF and AFOSR
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GA-Robot: Genetic Algorithm for Robot Control
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Genetic algorithm for evolving reactive control systems
Ashwin Ram, CCL; Ron Arkin, MRL
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Meta-TS: Metareasoning TroubleShooter
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Introspective multistrategy learning system that learns to troubleshoot in an electronics assembly manufacturing domain
Ashwin Ram, CCL; S Narayanan, ISyE
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Funded by AFOSR
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