Title
Polymorphic Self-* Agents for Stigmergic Fault Mitigation in Large-Scale Real-Time Embedded Systems
Document Type
Conference Document
Date
2005
Keywords
Artificial Intelligence, Multiagent Systems
Language
English
Disciplines
Computer Sciences
Description/Abstract
Organization and coordination of agents within large-scale, complex, distributed environments is one of the primary challenges in the field of multi-agent systems. A lot of interest has surfaced recently around self-* (self-organizing, self-managing, self-optimizing, self-protecting) agents. This paper presents polymorphic self-* agents that evolve a core set of roles and behavior based on environmental cues. The agents adapt these roles based on the changing demands of the environment, and are directly implementable in computer systems applications. The design combines strategies from game theory, stigmergy, and other biologically inspired models to address fault mitigation in large-scale, real-time, distributed systems. The agents are embedded within the individual digital signal processors of BTeV, a High Energy Physics experiment consisting of 2500 such processors. Results obtained using a SWARM simulation of the BTeV environment demonstrate the polymorphic character of the agents, and show how this design exceeds performance and reliability metrics obtained from comparable centralized, and even traditional decentralized approaches.
Recommended Citation
Messie, Derek and Oh, Jae C., "Polymorphic Self-* Agents for Stigmergic Fault Mitigation in Large-Scale Real-Time Embedded Systems" (2005). Electrical Engineering and Computer Science - All Scholarship. 46.
https://surface.syr.edu/eecs/46
Source
Metadata from ArXiv.org
Additional Information
Fourth International Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), Utrecht, Netherlands, July, 2005