We explore a coherent combination of two jointly implemented logic programming based systems, namely Evolution Prospection and Intention Recognition, to address issues pertinent for Ambient Intelligence (AmI) in the home environment context. The Evolution Prospection system designs and implements several kinds of well-studied preferences and useful environment-triggering constructs for decision making. These enable a convenient declarative encoding of users’ preferences and needs, and reactive constructs like goal triggering rules. The other system performs intention recognition by means of Causal Bayes Nets and a planner. This approach to intention recognition is appropriate to tackle several AmI issues, such as security and emergency. We also present a novel method for collective intention recognition to allow tackling the case where multiple users are of concern. We exemplify with examples in the elder care domain as it is one typical concern in the home environment context.
|Name||Ambient intelligence and smart environments|
|Conference||5th Workshop on Artificial Intelligence Techniques for Ambient Intelligence (AITAmI'10) |
|Period||18/07/10 → …|
|Other||5th Workshop on Artificial Intelligence Techniques for Ambient Intelligence (AITAmI'10) at 6th Intl. Conf. Intelligent Environments (IE10)|