Now showing items 11-20 of 22
Automated iterative game design
(Georgia Institute of Technology, 2016-12-06)
Computational systems to model aspects of iterative game design were proposed, encompassing: game generation, sampling behaviors in a game, analyzing game behaviors for patterns, and iteratively altering a game design. ...
Evaluating visual conversational agents via cooperative human-AI games
(Georgia Institute of Technology, 2019-04-26)
As AI continues to advance, human-AI teams are inevitable. However, progress in AI is routinely measured in isolation, without a human in the loop. It is crucial to benchmark progress in AI, not just in isolation, but ...
Interactive Scalable Interfaces for Machine Learning Interpretability
(Georgia Institute of Technology, 2020-12-01)
Data-driven paradigms now solve the world's hardest problems by automatically learning from data. Unfortunately, what is learned is often unknown to both the people who train the models and the people they impact. This has ...
Learning without labels and nonnegative tensor factorization
(Georgia Institute of Technology, 2010-04-08)
Supervised learning tasks like building a classifier, estimating the error rate of the predictors, are typically performed with labeled data. In most cases, obtaining labeled data is costly as it requires manual labeling. ...
Task transparency in learning by demonstration : gaze, pointing, and dialog
(Georgia Institute of Technology, 2010-07-07)
This body of work explores an emerging aspect of human-robot interaction, transparency. Socially guided machine learning has proven that highly immersive robotic behaviors have yielded better results than lesser interactive ...
Domain knowledge, uncertainty, and parameter constraints
(Georgia Institute of Technology, 2010-08-24)
Scaling solutions to Markov Decision Problems
(Georgia Institute of Technology, 2011-11-14)
The Markov Decision Problem (MDP) is a widely applied mathematical model useful for describing a wide array of real world decision problems ranging from navigation to scheduling to robotics. Existing methods for solving ...
Interest management scheme and prediction model in intelligent transportation systems
(Georgia Institute of Technology, 2012-10-12)
This thesis focuses on two important problems related to DDDAS: interest management (data distribution) and prediction models. In order to reduce communication overhead, we propose a new interest management mechanism for ...
Visual problem solving in autism, psychometrics, and AI: the case of the Raven's Progressive Matrices intelligence test
(Georgia Institute of Technology, 2013-04-03)
Much of cognitive science research and almost all of AI research into problem solving has focused on the use of verbal or propositional representations. However, there is significant evidence that humans solve problems ...
Socio-semantic conversational information access
(Georgia Institute of Technology, 2011-11-15)
The main contributions of this thesis revolve around development of an integrated conversational recommendation system, combining data and information models with community network and interactions to leverage multi-modal ...