Research Output

AGADE Using Personal Preferences and World Knowledge to Model Agent Behaviour

  BDI agents provide a common well established approach for building multi-agent simulations. In this paper we demonstrate how semantic technologies can be used to model agent behaviour. Beliefs, desires and intentions are mapped flexibly to corresponding OWL ontologies structured in layers. This reduces JAVA coding efforts significantly. Reasoning mechanisms and rule evaluation are used to compute agent behaviour by deriving an agent’s actions from declaratively formulated rules. An agent’s knowledge of its environment and its personal preferences can be expressed and human behaviour can be simulated. The approach is implemented in an integrated tool for running round based agent simulations (AGADE).

  • Date:

    21 May 2015

  • Publication Status:

    Published

  • Publisher

    Springer

  • DOI:

    10.1007/978-3-319-18944-4_8

  • Library of Congress:

    QA75 Electronic computers. Computer science

  • Dewey Decimal Classification:

    006.3 Artificial intelligence

Citation

Farrenkopf, T., Guckert, M., & Urquhart, N. (2015). AGADE Using Personal Preferences and World Knowledge to Model Agent Behaviour. In Y. Demazeau, K. S. Decker, J. Bajo Pérez, & F. de la Prieta (Eds.), Advances in Practical Applications of Agents, Multi-Agent Systems, and Sustainability: The PAAMS Collection; Lecture Notes in Computer Science, 93-106

Authors

Keywords

Multi-agent system; BDI; OWL ontology; Market simulation; Human behaviour;

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