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Chapitre D'ouvrage Année : 2007

MemoPA: Intelligent Personal Assistant Agents with a Case Memory Mechanism

Résumé

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.

Dates et versions

hal-00555865 , version 1 (14-01-2011)

Identifiants

Citer

Kejia Chen, Jean-Paul Barthès. MemoPA: Intelligent Personal Assistant Agents with a Case Memory Mechanism. Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, Springer, pp.1357-1367, 2007, Lecture Notes in Computer Science, ⟨10.1007/978-3-540-74205-0_139⟩. ⟨hal-00555865⟩
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