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An MDE Approach for Modelling and Reasoning About Multi-agent Systems

  • Fazle RabbiEmail author
  • Yngve Lamo
  • Lars Michael Kristensen
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10207)

Abstract

Epistemic logic plays an important role in artificial intelligence for reasoning about multi-agent systems. Current approaches for modelling multi-agent systems with epistemic logic use Kripke semantics where the knowledge base of an agent is represented as atomic propositions, but intelligent agents need to be equipped with formulas to derive implicit information. In this paper, we propose a metamodelling approach where agents’ state of affairs are separated in different scopes, and the knowledge base of an agent is represented by a propositional logic language restricted to Horn clauses. We propose to use a model driven approach for the diagrammatic representation of multi-agent systems knowledge (and nested knowledge). We use a message passing for updating the state of affairs of agents and use belief revision to update the knowledge base of agents.

Keywords

Model-driven engineering Epistemic logic Modal logic Knowledge base 

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Fazle Rabbi
    • 1
    • 2
    Email author
  • Yngve Lamo
    • 1
  • Lars Michael Kristensen
    • 1
  1. 1.Western Norway University of Applied SciencesBergenNorway
  2. 2.University of OsloOsloNorway

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