MemoPA: Intelligent Personal Assistant Agents with a Case Memory Mechanism

Authors:
Ke-Jia Chen;Jean-Paul Barthès
Affiliations:
CMR UMR6599 HEUDIASYC, Computer Science Department, Université de Technologie de Compiègne, France;CMR UMR6599 HEUDIASYC, Computer Science Department, Université de Technologie de Compiègne, France
Venue:
ICIC '07 Proceedings of the 3rd International Conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence
Year:
2009

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Abstract

A Personal Assistant (PA) agent is a software agent capable of helping people to handle tasks in their workplace. The paper proposes a memory mechanism for personal assistant agents in order to enhance agent intelligence while working with the user or with other agents. Inspired by a case memory model in the domain of Case-Based Reasoning (CBR), this paper endows PA agents with a case memory mechanism, which results in improved PA agents: MemoPAs. We present the memory mechanism of MemoPA in detail, and report a first implementation of the method. Finally, future work is outlined for improving the memory mechanism.