SDML: A Multi-Agent Language for Organizational Modelling

Scott Moss (), Helen Gaylard (), Steve Wallis () and Bruce Edmonds ()
Additional contact information
Scott Moss: Manchester Metropolitan University
Helen Gaylard: Manchester Metropolitan University
Steve Wallis: Manchester Metropolitan University
Bruce Edmonds: Manchester Metropolitan University

Computational and Mathematical Organization Theory, 1998, vol. 4, issue 1, No 2, 43-69

Abstract: Abstract A programming language which is optimized for modelling multi-agent interaction within articulated social structures such as organizations is described with several examples of its functionality. The language is SDML, a strictly declarative modelling language which has object-oriented features and corresponds to a fragment of strongly grounded autoepistemic logic. The virtues of SDML include the ease of building complex models and the facility for representing agents flexibly as models of cognition as well as modularity and code reusability. Two representations of cognitive agents within organizational structures are reported and a Soar-to-SDML compiler is described. One of the agent representations is a declarative implementation of a Soar agent taken from the Radar-Soar model of Ye and Carley (1995). The Ye-Carley results are replicated but the declarative SDML implementation is shown to be much less computationally expensive than the more procedural Soar implementation. As a result, it appears that SDML supports more elaborate representations of agent cognition together with more detailed articulation of organizational structure than we have seen in computational organization theory. Moreover, by representing Soar-cognitive agents declaratively within SDML, that implementation of the Ye-Carley specification is necessarily consistent and sound with respect to the formal logic to which SDML corresponds.

Keywords: simulation; organization; computational model; formal logic; cognition (search for similar items in EconPapers)
Date: 1998
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DOI: 10.1023/A:1009600530279

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