Michael Terry
نویسنده
چکیده
The first topic I would like to explore is probabilistic reasoning with Bayesian nets. I see that reasoning under situations of uncertainty is a very important area of AI, and it is apparent that these techniques are the standard approach for effectively modeling this uncertainty. I am particularly interested in learning how to model complex relationships between variables in spite of redundant links in Bayesian Nets. Also, I would like to study to the automatic generation of Bayesian Nets from large training set. Secondly, I would like to investigate reasoning about opponents using game theory and Minimax search. Beyond the typical examples using a single opponent (ie chess), I would like to explore further the idea of reasoning in a world with potentially more than one cooperating and/or adversarial agent. Finally, I would like to explore reasoning using first order logic. As described in Russell and Norvig, these concepts and methods seem to be very refined for basic objects, their properties, and the relationships between them. This is very useful for implementation of these properties in object-oriented data structures in any artificial intelligence application.
منابع مشابه
Defining Research to Improve Health Systems
Robert Terry and colleagues present working definitions of operational research, implementation research, and health systems research within the context of research to strengthen health systems.
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