Intelligent Adaptive Information Agents

Katia Sycara, K. Decker and M. Williamson
Workshop Paper, AAAI-96 workshop "Intelligent Adaptive Agents", August, 1996

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Adaptation in open, multi-agent information gathering systems is important for several reasons. These reasons include the inability to accurately predict future problem-solving work-loads, future changes in existing information requests, future failures and additions of agents and data supply resources, and other future task environment characteristic changes that require system reorganization. We are developing a multi-agent financial portfolio management system that must deal with all of these problems. This paper will briefly describe our approaches and solutions at several different levels within the agents: adaptation at the organizational, planning, scheduling, and execution levels. We discuss our solution for execution-level adaptation in detail, and present empirical evidence backing up the theory behind the solution.

author = {Katia Sycara and K. Decker and M. Williamson},
title = {Intelligent Adaptive Information Agents},
booktitle = {AAAI-96 workshop "Intelligent Adaptive Agents"},
year = {1996},
month = {August},
} 2019-07-01T13:50:44-04:00