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The Necessity of Separating Control and Logic When Grounding Language Using Neuroevolution (2009)
Yonatan Bisk
In this research we analyze the task of evolving a neural network to understand simple English commands. By understand we mean that the final agent will perform tasks and interact with objects in its world as instructed by the experimenter. The lexicon and grammar are kept small in this experiment. This type of work where semantics are based on an agent's perceptions and actions is referred to as language grounding. A substantial literature exists in this area, as the ability to have a robot or computer understand natural language instructions is one major goal of Artificial Intelligence, but very little has been done that grounds language in actions. We discover that grounding in actions requires a separation of logic and motor control.
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Citation:
Technical Report HR-09-05, Department of Computer Sciences, The University of Texas at Austin.
Bibtex:
@techreport{bisk:ugthesis09, title={The Necessity of Separating Control and Logic When Grounding Language Using Neuroevolution}, author={Yonatan Bisk}, number={HR-09-05}, school={Department of Computer Sciences, The University of Texas at Austin}, institution={Department of Computer Sciences, The University of Texas at Austin}, type={Undergraduate Honors Thesis}, url="http://www.cs.utexas.edu/users/ai-lab?bisk:ugthesis09", year={2009} }
People
Yonatan Bisk
Undergraduate Alumni
ybisk [at] yo-tech com
Areas of Interest
Artificial Life
Evolutionary Computation
Natural Language Processing (Cognitive)
Neuroevolution
Software/Data
OpenNERO
OpenNERO is a general research and education platform for artificial intelligence. The platform is based on a simulatio...
2010
Labs
Neural Networks