Intelligent Adaptive Information Agents - Robotics Institute Carnegie Mellon University

Intelligent Adaptive Information Agents

Katia Sycara, K. Decker, and M. Williamson
Workshop Paper, AAAI '96 Intelligent Adaptive Agents Workshop, pp. 117 - 126, August, 1996

Abstract

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.

BibTeX

@workshop{Sycara-1996-14188,
author = {Katia Sycara and K. Decker and M. Williamson},
title = {Intelligent Adaptive Information Agents},
booktitle = {Proceedings of AAAI '96 Intelligent Adaptive Agents Workshop},
year = {1996},
month = {August},
pages = {117 - 126},
}