AGADE Using Personal Preferences and World Knowledge to Model Agent Behaviour

Farrenkopf, Thomas; Guckert, Michael; Urquhart, Neil

Abstract

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).

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). https://doi.org/10.1007/978-3-319-18944-4_8

• Conference Name: International Conference on Practical Applications of Agents and Multi-Agent Systems PAAMS 2015
• Conference Location: Salamanca, Spain
• Start Date: Jun 3, 2015
• End Date: Jun 5, 2015
• Acceptance Date: Apr 16, 2015
• Online Publication Date: May 21, 2015
• Publication Date: May 21, 2015
• Deposit Date: Apr 30, 2015
• Electronic ISSN: 1611-3349
• Publisher: Springer
• Peer Reviewed: Peer Reviewed
• Volume: 9086
• Pages: 93-106
• Series Title: Lecture Notes in Computer Science
• Series Number: 9086
• Series ISSN: 0302-9743
• Book Title: Advances in Practical Applications of Agents, Multi-Agent Systems, and Sustainability: The PAAMS Collection; Lecture Notes in Computer Science
• ISBN: 9783319189437
• DOI: https://doi.org/10.1007/978-3-319-18944-4_8
• Keywords: Multi-agent system; BDI; OWL ontology; Market simulation; Human behaviour
• Public URL: http://researchrepository.napier.ac.uk/id/eprint/7803
• Publisher URL: http://dx.doi.org/10.1007/978-3-319-18944-4_8