1,721,758 research outputs found

    Ferrando, A.

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    RIVERtools: An IDE for RuntIme VERification of MASs, and beyond

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    This work introduces RIVERtools, an IDE supporting the use of the "trace expressions" formalism by users that want to perform runtime verification of their own system

    RIVERtools: An IDE for RuntIme VERification of MASs, and beyond

    No full text
    This work introduces RIVERtools, an IDE supporting the use of the "trace expressions" formalism by users that want to perform runtime verification of their own system

    VITAMIN: A Compositional Framework for Model Checking of Multi-Agent Systems

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    The verification of Multi-Agent Systems (MAS) poses a significant challenge. Various approaches and methodologies exist to address this challenge; however, tools that support them are not always readily avail able. Even when such tools are accessible, they tend to be hard-coded, lacking in compositionality, and challenging to use due to a steep learning curve. In this paper, we introduce a methodology designed for the formal verification of MAS in a modular and versatile manner, along with an initial prototype, that we named VITAMIN. Unlike existing verification methodologies and frameworks for MAS, VITAMIN is constructed for easy extension to accommodate various logics (for specifying the properties to verify) and models (for deter mining on what to verify such properties)

    Give Me a Hand: How to Use Model Checking for Multi-Agent Systems to Help Runtime Verification and Vice Versa

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    In this paper, we review the history of model checking and runtime verification on multi-agent systems by recalling the results obtained in the two research areas. Then, we present some past, present and future directions to combine these techniques in the two possible sides, that is by using model checking for multi-agent systems to solve runtime verification problems and vice versa

    A review of agent-based programming for multi-agent systems

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    Intelligent and autonomous agents is a subarea of symbolic artificial intelligence where these agents decide, either reactively or proactively, upon a course of action by reasoning about the information that is available about the world (including the environment, the agent itself, and other agents). It encompasses a multitude of techniques, such as negotiation protocols, agent simulation, multi-agent argumentation, multi-agent planning, and many others. In this paper, we focus on agent programming and we provide a systematic review of the literature in agent-based programming for multi-agent systems. In particular, we discuss both veteran (still maintained) and novel agent programming languages, their extensions, work on comparing some of these languages, and applications found in the literature that make use of agent programming

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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