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Multistrategy Learning Methods for Multirobot Systems
(Georgia Institute of Technology, 2003)
This article describes three different methods for introducing machine learning into a hybrid deliberative/reactive architecture for multirobot systems: learning momentum, Q-learning, and CBR wizards. A range of simulation ...
Empirically-based self-diagnosis and repair of domain knowledge
(Georgia Institute of Technology, 2009-12-17)
In this work, I view incremental experiential learning in intelligent software agents as progressive agent self-adaptation. When an agent produces an incorrect behavior, then it may reflect on, and thus diagnose and repair, ...
Improved Bounds for Learning Symmetric Juntas
(Georgia Institute of Technology, 2003)
We consider a fundamental problem in computational learning theory: learning in the
presence of irrelevant information. In particular we are interested in learning an arbitrary
boolean function of n variables which depends ...
Model-Based Reflection for Agent Evolution
(Georgia Institute of Technology, 2000)
Adaptability is a key characteristic of intelligence. My research explores techniques
for enabling software agents to adapt themselves as their functional requirements
change incrementally. In the domain of manufacturing, ...
Unsupervised Activity Discovery and Characterization for Sensor-Rich Environments
(Georgia Institute of Technology, 2005-11-28)
This thesis presents an unsupervised method for discovering and analyzing the different
kinds of activities in an active environment. Drawing from natural language processing, a
novel representation of activities as bags ...
A Dynamic Approach to Statistical Debugging: Building Program Specific Models with Neural Networks
(Georgia Institute of Technology, 2007-05)
Computer software is constantly increasing in complexity; this requires more developer time, effort, and knowledge in order to correct bugs inevitably occurring in software production. Eventually, increases in complexity ...
Modeling and Predicting Software Behaviors
(Georgia Institute of Technology, 2006-08-11)
Software systems will eventually contribute to their own maintenance using implementations of self-awareness. Understanding how to specify, model, and implement software with a sense of self is a daunting problem. This ...
Intractability results for problems in computational learning and approximation
(Georgia Institute of Technology, 2009-06-29)
In this thesis we prove intractability results for well studied problems in computational learning and approximation. Let ε , mu > 0 be arbitrarily small constants and t be an arbitrary constant positive integer. We show ...
Countering murphys law: the use of anticipation and improvisation via an episodic memory in support of intelligent robot behavior
(Georgia Institute of Technology, 2008-10-21)
Recently in robotics, substantial efforts have been invested on critical applications such as military, nursing, and search-and-rescue. These applications are critical in a sense that the robots may directly deal with human ...
Compositional Classification
(Georgia Institute of Technology, 2008-03-25)
An intelligent system must routinely deal with massive information processing
complexity. The research discussed in this document is concerned with finding
representations and processes to deal with a part of this ...