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Agentlab Software

 

Rebel (ROADMAP) - toolkit for agent-oriented sofware development

The Agentlab has developed a new approach, known as the ROADMAP methodology that incorporates new role models and has the ability for customising features and for incorporating other methodologies. The Agentlab is funded to develop agent methodologies and prototype tools that support rapid implementation of multi-agent software.

MIT Press will release a book in 2009, entitled The Art of Agent-Oriented Modelling, by Agentlab members Leon Sterling and Kuldar Taveter.

The book, the ROADMAP technique along with the Rebel toolkit and the MindiGolog agent programming language is used in teaching the subject Software Agents (Agent programming languages).

Leon Sterling and Kuldar Taveter. The Art of Agent-Oriented Modelling. MIT Press, 2009.

Rebel is a tool for the ROADMAP methodology.

  • REBEL RCP Version 1.1.0, a rich client stand-alone application:

  • REBEL Version 1.0.0, a plug-in for Eclipse: RebelInstallation.zip (5.5MB)

     

    MIndiGolog - Logic programming and planning language for multi-agent systems

    MIndiGolog is a multi-agent variant of the well-known, high-level agent programming language IndiGolog, based on the situation calculus. MIndiGolog was written by Ryan Kelly, as part of the Agent Programming Languages project conducted by Adrian Pearce.

    Students use MIndiGolg in the Masters/Honours subject Software Agents (Agent programming languages) for coding solutions.

  • MIndiGolog1

    Download: MIndiGolog1-0.9.9.tar.gz

    This MIndiGolog implementation performs online execution planning but is limited to synchronous domains. This software runs on the Mozart platform version 1.3.2 or later. Its key feature is the use of Mozart's parallel search functionality to distribute the execution planning workload.

  • MIndiGolog2

    Download: MIndiGolog2-0.9.9.tar.gz

    This MIndiGolog implementation produces joint executions as the output of its planning process, and is limited to only offline planning. It is able to render a graphical representation of joint executions in the Graphviz DOT language, from which the diagrams are generated. This version also runs on the Mozart platform version 1.3.2 or later.

  • PKnows

    Download: PKnows-0.9.9.tar.gz

    This is our preliminary implementation of an epistemic reasoning system. It is implemented using SWI-Prolog to perform symbolic manipulation, calling a modified version of the PDL prover from the Tableaux Workbench suite to handle the resulting modal logic queries.

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    CollabLP - Logic programming language for multi-agent systems

    Collaborative logic programming is based on a new deductive-inductive resolution technique, by combining deductive theorem proving with inductive logic programming, for solving a new class of multiagent problems - namely collaborative logic programming (CollabLP) problems.

    CollabLP was written by Jian (Alan) Huang and is available for experimentation upon request.

     

    NICTA Open Sensor-web Architecture (NOSA) - standards complient middleware for sensor-networks

    The NICTA Open SensorWeb Architecture (NOSA) project has develped a complete standards compliant platform and middleware for integration of sensor networks for emerging distributed computing platforms.

    NOSA is a built upon the Sensor Web Enablement (SWE) standard defined by the Open GIS Consortium (OGC), which is composed of a set of specifications, including SensorML, Observation & Measurement, Sensor Collection Service, Sensor Planning Service and Web Notification Service.

    It presents a reusable, scalable, extensible, and interoperable service oriented Sensor Web architecture that (i) conforms to the SWE standard; (ii) integrates Sensor Web with Grid Computing and (iii) provides middleware support for Sensor Webs.

    For more information, please visit the NICTA's NOSA website here.

     

    Human-agent virtual environment (HAVE) & Capture the flag (CTF) - multi-agent simulations

    HAVE & CTF are human-agent virtual environment and capture-the-flag multi-agent simulations. The simulations were written by Michael Papasimeon, please contact Michael, who works at DSTO, if you are interested in this software.

    Publications on multi-agent simulation (and HAVE)

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