动态代理社会中多分辨率知识传播与收集的框架

2007 International Conference on Integration of Knowledge Intensive Multi-Agent Systems Pub Date : 2007-06-11 DOI:10.1109/KIMAS.2007.369792

E. Benson, J. Berliner, M. Brinn

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引用次数: 5

摘要

基于代理的应用程序的动态、分布式和自治特性使得知识提取和分布式处理成为一项复杂的任务。本文提出了Fido，一种编程模型和框架实现，通过在固定的处理管道下隐藏代理社会的细节来简化这一任务。Fido开发人员可以自由地专注于应用程序的业务逻辑，开销很少，而且还可以从多分辨率结果形成、分布式结果缓存和整个框架的其他特性中受益

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A Framework for Multiresolutional Knowledge Dissemination and Collection in Dynamic Agent Societies

The dynamic, distributed, and autonomous nature of agent-based applications make knowledge extraction and distributed processing a complicated task. This paper presents Fido, a programming model and framework implementation that simplifies this task by concealing the details of the agent society under a fixed processing pipeline. Fido developers are then free to focus on the business logic of the application with very little overhead and additionally benefit from multiresolutional result formation, distributed result caching, and other features of the overall framework

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2007 International Conference on Integration of Knowledge Intensive Multi-Agent Systems

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