---
title: "From an Agent Logic to an Agent Programming Language for Partially Observable Stochastic Domains"
authors:
  - "Gavin Rens"
doi: "10.5591/978-1-57735-516-8/IJCAI11-493"
url: "https://ijcai.org/proceedings/2011/493"
pdf: "https://ijcai.org/proceedings/2011/0493.pdf"
venue: "Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence"
year: 2011
pages: "2842-2842"
track: ""
keywords:
---

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

Gavin Rens

*Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence*, pages 2842-2842. DOI: [10.5591/978-1-57735-516-8/IJCAI11-493](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.