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Making a strong business case for multiagent technology

Published: 08 May 2006 Publication History

Abstract

In this paper, we describe lessons learned in commercializing and implementing agent-based systems in real-world business situations. Most notably we discuss gains in programmer productivity achieved by using AdaptivEnterprise, a commercial IDE and J2EE runtime engine based on BDI agents. In a wide range of complex business applications, we show that the use of BDI technology incorporated within an enterprise-level architecture can improve overall developer productivity by an average 350%. For java coding alone, the increase in productivity was over 500%. In competitive bids for large scale enterprise applications, AdaptivEnterprise was able to reduce total cost of ownership between two- and three-fold. In addition, the agent approach allowed the business to change and extend solutions quickly and helped bridge the gap between the business side and IT development.

Cited By

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  • (2023)Quantitative modelling and analysis of BDI agentsSoftware and Systems Modeling10.1007/s10270-023-01121-523:2(343-367)Online publication date: 28-Aug-2023
  • (2021)Agent Programming in the Cognitive EraProceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems10.5555/3463952.3464213(1718-1720)Online publication date: 3-May-2021
  • (2021)Modelling and Verifying BDI Agents with BigraphsScience of Computer Programming10.1016/j.scico.2021.102760(102760)Online publication date: Dec-2021
  • Show More Cited By

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  1. Making a strong business case for multiagent technology

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    cover image ACM Conferences
    AAMAS '06: Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
    May 2006
    1631 pages
    ISBN:1595933034
    DOI:10.1145/1160633
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    New York, NY, United States

    Publication History

    Published: 08 May 2006

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    Author Tags

    1. AdaptivEnterprise
    2. Agentis
    3. function point analysis

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    Overall Acceptance Rate 1,155 of 5,036 submissions, 23%

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    Cited By

    View all
    • (2023)Quantitative modelling and analysis of BDI agentsSoftware and Systems Modeling10.1007/s10270-023-01121-523:2(343-367)Online publication date: 28-Aug-2023
    • (2021)Agent Programming in the Cognitive EraProceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems10.5555/3463952.3464213(1718-1720)Online publication date: 3-May-2021
    • (2021)Modelling and Verifying BDI Agents with BigraphsScience of Computer Programming10.1016/j.scico.2021.102760(102760)Online publication date: Dec-2021
    • (2021)Probabilistic BDI Agents: Actions, Plans, and IntentionsSoftware Engineering and Formal Methods10.1007/978-3-030-92124-8_15(262-281)Online publication date: 3-Dec-2021
    • (2020)Designing Multi-Agent System Organisations for Flexible Runtime BehaviourApplied Sciences10.3390/app1015533510:15(5335)Online publication date: 2-Aug-2020
    • (2020)Agent programming in the cognitive eraAutonomous Agents and Multi-Agent Systems10.1007/s10458-020-09453-y34:2Online publication date: 12-May-2020
    • (2017)BDI agent testability revisitedAutonomous Agents and Multi-Agent Systems10.1007/s10458-016-9356-231:5(1094-1132)Online publication date: 1-Sep-2017
    • (2016)Centering ontologies in agent oriented software engineering processesComplex & Intelligent Systems10.1007/s40747-016-0025-52:3(235-242)Online publication date: 26-Sep-2016
    • (2016)Integrating BDI Agents with Agent-Based Simulation PlatformsAutonomous Agents and Multi-Agent Systems10.1007/s10458-016-9332-x30:6(1050-1071)Online publication date: 1-Nov-2016
    • (2015)On the testability of BDI agent systemsProceedings of the 24th International Conference on Artificial Intelligence10.5555/2832747.2832844(4217-4221)Online publication date: 25-Jul-2015
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