Carl Moore, Seung Baek, Jay Liebowitz, LTC Robert Kilmer and Robert Minehart
An intelligent agent‐based information warfare advisor is being developed for the Strategic Crisis Exercise at the US Army War College. This paper will provide some background on…
Abstract
An intelligent agent‐based information warfare advisor is being developed for the Strategic Crisis Exercise at the US Army War College. This paper will provide some background on intelligent agents and will then describe the proposed architecture for building this intelligent agent‐based information warfare (IW) advisor (called “Bob‐in‐a‐box” ‐ named after our IW domain expert, Bob Minehart).
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Knowledge management is one of the hottest topics in organizations today. Much of what is being proposed and accomplished is not novel by any means. Techniques, tools, concepts…
Abstract
Knowledge management is one of the hottest topics in organizations today. Much of what is being proposed and accomplished is not novel by any means. Techniques, tools, concepts, and methodologies can easily be borrowed from the expert systems and artificial intelligence disciplines. This paper emphasizes that expert systems need to be an integral part of knowledge management if knowledge management is to succeed, and not simply be a fad!
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Jeffrey W. Alstete and John P. Meyer
The purpose of this paper is to examine the application of intelligent agents (IAs) in organizational memory systems within the larger schema of knowledge management (KM…
Abstract
Purpose
The purpose of this paper is to examine the application of intelligent agents (IAs) in organizational memory systems within the larger schema of knowledge management (KM) strategies. This includes targeted roles of IAs in relation to institutional memory approaches.
Design/methodology/approach
A conceptual exploration of related sections of the Grundspenkis seven-layer intelligent enterprise memory framework that serves to identify, retain, deliver and reuse information for future utilization is conducted. Applications of IAs in multiple industries are presented to illustrate the conceptual model in practice.
Findings
This paper identifies arising roles that IAs perform in information search, retrieval and analysis in the organizational memory formation process and extensions that have emerged in a non-linear bi-directional form. These layered roles include obtaining and reapplying important information as part of extended human–machine cognition.
Research limitations/implications
While exploratory and conceptual in nature, this research paper discusses IAs as possible components in the advancement of organization memory.
Practical implications
By analyzing the application of IAs in different industries, across select layers of a KM structure, groundwork is laid for both descriptive research (i.e. where and how artificial intelligence is being used in those industries) and prescriptive practice (i.e. how other industries can benefit from such assistance and what patterns of implementation to expect).
Originality/value
This study explores the role IAs play in helping knowledge workers gather, retain and find relevant information and how KM strategies may assist organizational memory.