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Distributed Control Aglorithms for Robotic
Swarms
A DARPA funded project studying the swarming robots.
Our focus was to build individual robot behaviors such that when
combined in a swarm, complex, sophicated behaviors would emerge.
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Agent-Based Modeling
Multiple projects creating agent-based models to
gain insight and prediction for complex, distributed systems.
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Interactive Evolution
Several projects where a user interacts with evolutionary
algorithms to guide an evolutionary search. More
Info
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From
Multicellularity to Cell Based Optimization:
Studying the Cooperative Capabilities of Evolvable Cells
A continuation of the cell based model below. This
research used adaptive cell populations a a metaphor for agents
in solving a network resource allocation problem. This was the basis
for my Master's thesis and was done while working with BTexact's
Future Technologies Group. More Info
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Studying
the Emergence of Multicellular Organisms in Artificial Life with Cartesian
Genetic Programming
A model that uses genetic programming to evolve
programs with cell-like functions. The cells are put into an environment
with limited food resources. The cooperative and competetive behaviors
of the evolved populations are analyzed.
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Financial Time-Series Prediction using Negatively
Correlated Neural Network Ensembles
This research studied the use of negative correlation
in neural network ensemble learning. The idea is to create diversity
in the ensembles to increase learning without hurting the ability
to generalize. In this research, the approach was applied to financial
time-series prediction. More Info
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