AAAI Publications, Twenty-Second International Joint Conference on Artificial Intelligence

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From an Agent Logic to an Agent Programming Language for Partially Observable Stochastic Domains
Gavin Brian Rens

Last modified: 2011-06-29

Abstract


Broadly speaking, my research concerns combining logic of action and POMDP theory in a coherent, theoretically sound language for agent programming. We have already developed a logic for specifying partially observable stochastic domains. A logic for reasoning with the models specified must still be developed. An agent programming language will then be developed and used to design controllers for robots.

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