Abstract

This article discusses a decision making engine in an Ambient Assisted Living (AAL) context. This decision making engine is not only ble to learn and categorize human behavior by observing a person, but also replicate this person’s actions. It recognizes altering behavioral patterns and adapts its actions to those new or changed situations. Its purpose is to automate certain activities to enhance the quality of life of elderly persons or persons with special needs.