Abstract
Second Life is a popular multi-purpose online virtual world that provides a rich platform for remote human interaction. It is increasingly being used as a simulation platform to model complex human interactions in diverse areas, as well as to simulate multi-agent systems. It would therefore be beneficial to provide techniques allowing high-level agent development tools, especially cognitive agent platforms such as belief-desire-intention (BDI) programming frameworks, to be interfaced to Second Life. This is not a trivial task as it involves mapping potentially unreliable sensor readings from complex Second Life simulations to a domain-specific abstract logical model of observed properties and/or events. This paper investigates this problem in the context of agent interactions in a multi-agent system simulated in Second Life. We present a framework that facilitates the connection of any multi-agent platform with Second Life, and demonstrate it in conjunction with an extension of the Jason BDI interpreter.
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Ranathunga, S., Cranefield, S., Purvis, M. (2012). Interfacing a Cognitive Agent Platform with Second Life. In: Beer, M., Brom, C., Dignum, F., Soo, VW. (eds) Agents for Educational Games and Simulations. AEGS 2011. Lecture Notes in Computer Science(), vol 7471. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32326-3_1
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DOI: https://doi.org/10.1007/978-3-642-32326-3_1
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