DaBose M.W., Luqi L.
Naval Postgraduate School, US
Keywords: agents, bandwidth optimization, compression methods, embedded maximization, termsdigital network maximization
The advent of the computer age has brought about an ever increasing demand to transfer exponentially increasing amounts of information, and the as ciated problems of information sharing. The focus of this pa is to best utilize available digital communications asse- in a constrained radio frequency (RF) spectrum to allow sufficient transfer of information providing Department of Defense (DOD) assets flexible, rapid, and in-flight reprogramming, replanning of strike and cruise missile assets, to engage a high value, emergent target, in the shortest possible time. The postulated methods of utilizing autonomous agent type methods to manage information flow across network nodes has applicability to all digital networks. Inspired by the pioneering work of Pattie Maes, at Massachusetts Institute of Technology (MIT), and previous examination of communications node management, the implementation of independent processes, working on behalf of a host system, to optimize the effective meaningful throughput on a communications channel is not only desirable, but necessary. The evolution of semi intelligent software, whether caUed Artificial Intelligence, InteUigent Agents, or Autonomous Agents, has reached a level of sophistication aUowing the insertion of meaningful articulated processes witbin existing, and future systems to maximize the network efficiency systematicaUy. Recent work by Michael Cohen on Sodabots, and the evolution of user interactive TinyMUDS of the Maas-Neotek family, a virtual type personality environment, has demonstrated the ability of software to deal with dynamic and changing conditions. The exponential increase in micro-processor power has, for the first time, made available the hardware for such agent implementations as compact, self contained, embedded systems, in direct support of larger existing systems.
Journal: TechConnect Briefs
Volume: Technical Proceedings of the 1998 International Conference on Modeling and Simulation of Microsystems
Published: April 6, 1998
Pages: 380 - 385
Industry sector: Sensors, MEMS, Electronics
Topic: Modeling & Simulation of Microsystems
ISBN: 0-96661-35-0-3