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

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Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence. Pages 2842-2842.

https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-493

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.

Gavin Rens. 2011. From an Agent Logic to an Agent Programming Language for Partially Observable Stochastic Domains. In Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI-11. IJCAI, 2842–2842. https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-493
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