---
title: "Automation Intelligence for the Smart Environment"
authors:
  - "G. Michael Youngblood"
  - "Edwin O. Heierman III"
  - "Lawrence B. Holder"
  - "Diane J. Cook"
doi: ""
url: "https://ijcai.org/proceedings/2005/270"
pdf: "https://ijcai.org/proceedings/2005/0270.pdf"
venue: "Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence"
year: 2005
pages: "1513-1513"
track: ""
keywords:
---

# Automation Intelligence for the Smart Environment

G. Michael Youngblood, Edwin O. Heierman III, Lawrence B. Holder, Diane J. Cook

*Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence*, pages 1513-1513.

## Abstract

Scaling AI algorithms to large problems requires that these algorithms work together to harness their respective strengths. We introduce a method of automatically constructing HHMMs using the output of a sequential data-mining algorithm and sequential prediction algorithm. We present the theory of this technique and demonstrate results using the MavHome intelligent environment.