Abstract
This paper presents the results of extending an agent-based simulation framework by adding a full-fledged model of beliefs and by supporting ask-reply communication with the help of the W3C RDF query language SPARQL. Beliefs are the core component of any cognitive agent architecture. They are also the basis of ask-reply communication between agents, which allows social learning. Our approach supports the conceptual distinctions between facts and beliefs, and between sincere answers and lies.
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Diaconescu, I.M., Wagner, G. (2010). Agent-Based Simulations with Beliefs and SPARQL-Based Ask-Reply Communication. In: Di Tosto, G., Van Dyke Parunak, H. (eds) Multi-Agent-Based Simulation X. MABS 2009. Lecture Notes in Computer Science(), vol 5683. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13553-8_8
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DOI: https://doi.org/10.1007/978-3-642-13553-8_8
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