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stigLD : Stigmergic Coordination in Linked Systems

Author

Listed:
  • René Schubotz

    (German Research Center for Artificial Intelligence, Saarland Informatics Campus D3 2, 66123 Saarbrücken, Germany
    These authors contributed equally to this work.)

  • Torsten Spieldenner

    (German Research Center for Artificial Intelligence, Saarland Informatics Campus D3 2, 66123 Saarbrücken, Germany
    Saarbrücken Graduate School of Computer Science, Campus E1 3, 66123 Saarbrücken, Germany
    These authors contributed equally to this work.)

  • Melvin Chelli

    (German Research Center for Artificial Intelligence, Saarland Informatics Campus D3 2, 66123 Saarbrücken, Germany
    These authors contributed equally to this work.)

Abstract

While current Semantic Web technologies are well-suited for data publication and integration, the design and deployment of dynamic, autonomous and long-lived multi-agent systems (MAS) on the Web is still in its infancy. Following the vision of hypermedia MAS and Linked Systems, we propose to use a value-passing fragment of Milner’s Calculus to formally specify the generic hypermedia-driven behaviour of Linked Data agents and the Web as their embedding environment. We are specifically interested in agent coordination mechanisms based on stigmergic principles. When considering transient marker-based stigmergy, we identify the necessity of generating server-side effects during the handling of safe and idempotent agent-initiated resource requests. This design choice is oftentimes contested with an imprecise interpretation of HTTP semantics, or with rejecting environments as first-class abstractions in MAS. Based on our observations, we present a domain model and a SPARQL function library facilitating the design and implementation of stigmergic coordination between Linked Data agents on the Web. We demonstrate the efficacy our of modelling approach in a Make-to-Order fulfilment scenario involving transient stigmergy and negative feedback as well as by solving a problem instance from the (time constrained) Trucks World domain as presented in the fifth International Planning Competition.

Suggested Citation

  • René Schubotz & Torsten Spieldenner & Melvin Chelli, 2022. "stigLD : Stigmergic Coordination in Linked Systems," Mathematics, MDPI, vol. 10(7), pages 1-21, March.
  • Handle: RePEc:gam:jmathe:v:10:y:2022:i:7:p:1041-:d:778567
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    References listed on IDEAS

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    1. Michael J. B. Krieger & Jean-Bernard Billeter & Laurent Keller, 2000. "Ant-like task allocation and recruitment in cooperative robots," Nature, Nature, vol. 406(6799), pages 992-995, August.
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