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Australian Workshop on Distributed Artificial Intelligence

DAI 1996: Multi-Agent Systems Methodologies and Applications pp 76–91Cite as

ACACIA: An agency based collaboration framework for heterogeneous multiagent systems

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1286))

Abstract

We introduce a collaboration framework called ACACIA for multi-agent systems (MAS). ACACIA is a high level framework that focuses on heterogeneous agents. Our main goal is to create a collaboration framework that precludes the re-engineering of existing software agents. We also apply a case-based coordination scheme in which a database of collaboration protocols can be consulted during the collaboration process. This paper gives a macro-level description of our framework which is based mainly on the notion of agencies. First, we give our own view of agents and then present agency as our metaphor for agent organization. The rest of the paper will discuss ACACIA's problem solving paradigm and runtime system.

My sincere appreciation for Dr. Gary Craig of Superlative Software Solutions, Inc.; Joe Ciccarino, Betty Atkinson and Steven Pritko of IBM Endicott, NY, USA.

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Author information

Authors and Affiliations

  1. Department of Computer and Information Science, Syracuse University, 13244, Syracuse, NY, USA

    Wilfred C. Jamison

Authors
  1. Wilfred C. Jamison
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Editor information

Chengqi Zhang Dickson Lukose

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© 1997 Springer-Verlag Berlin Heidelberg

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Jamison, W.C. (1997). ACACIA: An agency based collaboration framework for heterogeneous multiagent systems. In: Zhang, C., Lukose, D. (eds) Multi-Agent Systems Methodologies and Applications. DAI 1996. Lecture Notes in Computer Science, vol 1286. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0030083

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  • DOI: https://doi.org/10.1007/BFb0030083

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63412-6

  • Online ISBN: 978-3-540-69540-0

  • eBook Packages: Springer Book Archive

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