DocumentCode :
2420961
Title :
Managing information flow for complex, dynamic tasks using multi-agent collaboration
Author :
Mukhopadhyay, Snehasis ; Palakal, Mathew ; Kodiripaka, Vijay ; Raje, Rajeev ; Mostafa, Javed
Author_Institution :
Dept. of Comput. & Inf. Sci., Indiana Univ., Indianapolis, IN, USA
fYear :
2003
fDate :
8-8 Oct. 2003
Firstpage :
848
Lastpage :
853
Abstract :
In this paper, we present a multi-agent information system model that can deal with complex multi-activity information-driven tasks. After defining a single information agent architecture in an abstract way, we describe the multi-agent model (called the parallel model), as well as a simple collaboration protocol for the multiple activity information agents. Experimental results are presented with the multi-agent system that demonstrate that a significantly larger number of relevant documents can be retrieved through collaboration than what is possible with decoupled agents. Hence, such multi-agent parallel models appear to hold considerable promise in providing the user with high quality information services in a variety of business and scientific information-driven tasks.
Keywords :
information analysis; information management; information retrieval; information services; multi-agent systems; scientific information systems; business information; collaboration protocol; information agent architecture; information flow; information services; multiactivity information-driven tasks; multiagent collaboration; multiagent information system model; multiagent parallel model; multiagent system; multiple activity information agents; scientific information;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control. 2003 IEEE International Symposium on
Conference_Location :
Houston, TX, USA
ISSN :
2158-9860
Print_ISBN :
0-7803-7891-1
Type :
conf
DOI :
10.1109/ISIC.2003.1254747
Filename :
1254747
Link To Document :
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