An Information Mediator Network for Tasks in Dynamic Environments

Abstract

Coordination of activities among information workers and services, tracking and managing activities, and intelligent distribution of information are essential to the efficient operation of any large enterprise. This is particularly important in the healthcare domain, where many different organizations must cooperate to provide patient care reliably in a dynamically changing environment. In this review paper we present a distributed system that supports cooperative problem solving, activity management, and intelligent delivery of information in dynamic and unreliable environments. The system consists of a network of task/context managers (TCMs). Each TCM manages a group of related agents. It maintains up-to-date information on availability, operational status, and activities of participating agents, and it acts as a mediator between service requesters and service providers. In addition, the TCM acts as a representative for its agents with other TCMs, allowing different groups of agents to collaborate with one another. This paper describes the system architecture, its implementation and capabilities including matchmaking, plan monitoring, and failure recovery. Our system has been used in prehospital emergency patient information management applications.

 

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Keywords

Distributed Agents - Medical Workstation - Software Engineering.

 

 

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• References

• 1 Arens Y, Chee CY, Hsu C., Nand Knoblock CA. Retrieving and integrating data from multiple information sources. Int J Intell Cooper Inform Syst 1993; 2: 127-58.
• 2 Arens Y, Knoblock CA, Shen W -M. Query reformulation for dynamic information integration. J Intell Inform Syst 1996 in press.
• 3 Cohen PR, Cheyer A, Wang M, Baeg SC. An open agent architecture. In:. Etzioni O. et al, eds. Working Notes of AAA/1994Spring Symp on Software Agents.. Stanford CA: American Association of AI; 1994: 1-8.
• 4 Genesereth MR, Ketchpel SP. Software agents. Comrnun ACM 1994; 37: 48-53.
• 5 Genesereth MR. An agent -based approach to software interoperability. Proc. of the DARPA Software Technology Conf Arlington VA: Computer Science Department, Stanford University; Technical Report 1992: 2.
• 6 Kuokka D., Harada L. 1995. Matchmaking for information agents. In: Mellish CS. ed. Proc of the 14th Intern Joint Conf on Artificial Intelligence (IJCAI-95).. Montreal: Morgan Kaufmann; 1995: 672-8.
• 7 Lesser V. ed. First Int Confon Multi-Agent Systems. Menlo Park CA:AAAI Presstrhe MIT Press 1995
• 8 McGuire J, Kuokka D, Weber J, Tenenbaum J, Gruber T, Olsen G. SHADE: Technology for knowledge-based collaborative engineering. J Concurrent Engineering: Research and Applications 1993; 1
• 9 Patil RS, Fikes RE, Patel-Schneider PF, McKay D, Finnin T, Grube TR, Neches R. The DARPA knowledge sharing effort: Progress report. In:. Nebel B, Rich C, Swartout W. eds. Proc of 3rd Intern Conf on Principles of Knowledge Representation and Reasoning.. Cambridge MA: Morgan Kaufmann; 1992: 777-88.
• 10 Patil RS, Silva J, Swartout W. An architecture for healthcare provider’s workstation. lnt J Biomed Comput 1994; 34: 285-99.
• 11 Shoham Y. Agent-oriented programming. Artiflntell 1993; 60: 51-92.
• 12 Wiederhold G. Mediators in the architecture of future information systems. IEEE Computer 1992; 25: 38-49.
• 13 Wilkins DE, Myerss KL, Lowarance JD, Wesley LP. Planning and reacting in uncertain and dynamic environments. J Exp Theor Artiflntell 1995; 7: 121-152.
• 14 Wooldridge MJ, Jenning NR. Agent theories architectures and languuages: A survey. In:. Woolridge MJ, Jennings NR. eds. lntelligent Aggents: Theories Architectures and Languages. New York: SpringerVerlag; 1995: 1-32.