NDLI: Exploiting systemic biological modeling for trigger based adaptation in networked intelligent multi-agent systems

Content Provider	IEEE Xplore Digital Library
Author	Bansal, A.K.
Copyright Year	2004
Description	Author affiliation: Dept. of Comput. Sci., Kent State Univ., OH, USA (Bansal, A.K.)
Abstract	Current day networked intelligent agent based systems have limited capability of adaptability, self-repair, adaptation, and self-reconfiguration under changing external conditions. In past, evolutionary algorithms have experimented with random mutation and heuristic selection based evolution for self-adaptation. However, little research has been done to explore dynamic adaptive control to take care of sudden external stress and events at systemic response level. This work introduces a new message based biological model of intelligent multiagent based systems that represents agents as self-correcting dynamically modifiable genes - a reconfigurable set of dynamically regulated built-in functions, and system of agents as dynamically adaptable event-trigger controlled interacting pathways that can be altered and reconfigured in response to external stress and events. The model supports the integration of message, code, trigger, and belief states, and supports interchangeability of message, code, and trigger to provide dynamic adaptive control. The model and its implementation have been described.
Sponsorship	IEEE Comput. Soc.
Starting Page	761
Ending Page	768
File Size	136158
Page Count	8
File Format	PDF
ISBN	076952236X
ISSN	10823409
DOI	10.1109/ICTAI.2004.60
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-11-15
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Biological system modeling Intelligent systems Intelligent networks Multiagent systems Biological information theory Intelligent agent Adaptive control Stress Evolutionary computation Genetic mutations Systemic Adaptability intelligent agent artificial intelligence biological model distributed genes pathway
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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